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TECHNOGEN, Inc. is a Proven Leader in providing full IT Services, Software Development and Solutions for 15 years. TECHNOGEN is a Small and Woman Owned Minority Business with GSA Advantage Certification. We have offices in VA; MD and Offshore development centers in India. We have successfully executed 100 projects for clients ranging from small business and non-profits to Fortune 50 companies and federal, state and local agencies. Hi, Greetings of the day! We are looking to Hire a Talented Professional for the below Job opportunity with one of our clients, If you're interested, please share your updated resume at your earliest convenience, and I'll be happy to provide more details about the role. Position: AI Application Engineer Location: Santa Clara, CA (3 days onsite in a week) Duration: Long Term Contract Job Description: AI Application Engineer to support the development and delivery of next-generation AI-powered applications built on infrastructure. This role will focus on production-grade LLM application engineering, RAG quality, prompt engineering, AI safety, and orchestration of complex multi-step AI pipelines. Day-to-Day Responsibilities Design, develop, and optimize production-grade LLM-powered applications Own AI quality, RAG accuracy, prompt engineering, and AI safety across multiple applications Develop and maintain multi-step LLM orchestration pipelines using LangChain, LlamaIndex, or custom frameworks Implement and optimize RAG pipelines including chunking strategies, embedding selection, reranking, and hybrid search Design multi-turn conversational AI experiences with context management and session memory Integrate technologies including NIM, NeMo, NeMoGuardrails, and Riva into enterprise AI applications Build automated evaluation pipelines for model quality, hallucination detection, regression testing, and release gating Perform latency profiling and optimization across multi-step LLM call chains Implement AI safety guardrails including prompt injection prevention, jailbreak mitigation, and topical control Collaborate with globally distributed engineering and product teams to deliver scalable AI solutions Support deployment, monitoring, and continuous improvement of AI applications in production environments Basic Qualifications: 4 7 years of software engineering experience with at least 2 years focused on production LLM application development Expert-level experience with Python for AI/ML application development and async programming Strong expertise in prompt engineering including system prompts, few-shot prompting, and instruction tuning 3 Years of Hands-on experience with multi-step LLM orchestration frameworks such as LangChain or LlamaIndex 3 Years of Experience designing and optimizing RAG pipelines and retrieval systems 3 Years of Experience with vector databases, similarity search tuning, and reranking techniques 3 Years of Hands-on experience with, NeMo, NeMoGuardrails, and Riva 3 Years of Experience implementing AI safety and guardrails for customer-facing applications Strong knowledge of automated AI evaluation frameworks such as RAGAS or TruLens 3 Years of Experience profiling and optimizing latency in multi-step AI pipelines Ability to work onsite in Santa Clara, CA Preferred Qualifications Experience with adaptive learning systems or recommendation engines Knowledge graph integration experience with RAG architectures Experience with multi-agent orchestration patterns ServiceNow API integration experience Prior experience building AI products on infrastructure Experience with streaming LLM response handling and real-time AI applications Technology Stack Python LangChain LlamaIndex NeMo NeMoGuardrails Vector Databases RAGAS / TruLens LLM APIs and orchestration frameworks Education Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, or equivalent work experience. Ranjitha P | Sr. IT Recruiter ranjitha.p@technogeninc.com R, NLTK, Automation-Robotic Process Automation (RPA)-Developer-Python

Position: Senior Chatbot/Voice Enablement Developer Location: Remote, Pennsylvania Duration: Contract- 6 months contract to hire Job ID: 173080 Job Overview: We are seeking a highly skilled Senior Chatbot/Voice Enablement Developer to design and develop enterprise-grade chatbot and voice solutions. The ideal candidate will have expertise in Azure Bot Service, Power Virtual Agents, and integrations with platforms such as Genesys, Twilio, and Microsoft Teams. This role involves implementing and optimizing LLM pipelines, ASR/TTS for voice bots, and retrieval-augmented generation (RAG) for knowledge-driven responses. The successful candidate will also ensure compliance and security, monitor performance, and collaborate with cross-functional teams. Responsibilities: Design and develop enterprise-grade chatbot and voice solutions using Azure Bot Service, Power Virtual Agents, and integrations (e.g., Genesys, Twilio, Microsoft Teams). Implement and optimize LLM pipelines, ASR/TTS for voice bots, and retrieval-augmented generation (RAG) for knowledge-driven responses. Integrate conversational systems with internal platforms (CRM, ITSM, security solutions) via APIs and event-driven architectures. Ensure compliance and security, including PII protection, encryption, and adherence to global standards (GDPR, accessibility). Monitor and improve performance through analytics, A/B testing, and continuous optimization of containment rate, latency, and CSAT. Collaborate cross-functionally with product and engineering teams; mentor junior developers and establish best practices. Qualifications: 5+ years of experience in software engineering with 3+ years in conversational AI (chat and voice). Expertise in Azure, Azure AI Foundry, Azure AI Search, LLM/NLU orchestration, Vector DBs, and whisper/voice models. Strong backend development skills (Python, C#, REST APIs). Knowledge of cloud platforms (Azure preferred), CI/CD, and security best practices. Ability to work independently and collaboratively in an agile, fast-paced, high-impact environment. Strong written and verbal communication skills in English. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit www.ptrglobal.com At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $70 - $75 The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 214-740-2424. To report any concerns, please email us at legal@pinnacle1.com #LI-PS4

TECHNOGEN, Inc. is a Proven Leader in providing full IT Services, Software Development and Solutions for 15 years. TECHNOGEN is a Small and Woman Owned Minority Business with GSA Advantage Certification. We have offices in VA; MD and Offshore development centers in India. We have successfully executed 100 projects for clients ranging from small business and non-profits to Fortune 50 companies and federal, state and local agencies. Hi, Greetings of the day! We are looking to Hire a Talented Professional for the below Job opportunity with one of our clients, If you're interested, please share your updated resume at your earliest convenience, and I'll be happy to provide more details about the role. Position: Senior Lead Artificial Intelligence Solutions Consultant Location: Charlotte, NC (Hybrid) Duration: Long Term Contract Job Description: Lead the design and delivery of enterprise scale Artificial Intelligence and Generative AI solutions for complex business problems. Act as a client facing solution lead, translating business requirements into scalable AI architectures across data, models, and platforms. Provide hands on technical leadership across GenAI use cases including Retrieval Augmented Generation (RAG), agentic workflows, model orchestration, and AI platform integration. Partner with stakeholders, architects, and engineering teams to ensure secure, high performance, and production ready AI solutions aligned to enterprise and regulatory standards. Required Qualifications: 4 years of Artificial Intelligence experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 3 years across product/solution management, program delivery, or technical product ownership for AI/ML platforms, or cloud-native solutions. 3 years hands-on with cloud technologies (GCP, or Azure) and container orchestration (Docker, Kubernetes/OpenShift). Desired Qualifications 5 years across the AI/ML lifecycle: data management, feature engineering, model development, deployment, monitoring/observability, and model risk/governance. Experience in large enterprise environments (regulated industries preferred) and building platforms at scale. Hands-on with GenAI and agentic AI (LLMs, diffusion models, RAG, tool use/agents); familiarity with OpenAI Azure, Hugging Face, LangChain/LangGraph, ADK, vector databases. Experience with MLOps/LLMOps tooling and practices (model registry, CI/CD, feature store, prompt/chain/versioning, evaluation, guardrails, monitoring). Strong communication skills with the ability to influence senior stakeholders and simplify complex technical topics Working knowledge of platform components and services such as Vertex AI, BigQuery, OpenShift, IBM CP4D, and large-scale distributed model execution platforms. Proven ability to create and implement executive-level roadmaps and dashboards demonstrating business impact and risk posture. Excellent technical depth with the ability to dive into APIs, SDKs, security controls, data contracts, and performance profiles. Strong negotiation, stakeholder engagement, and cross-functional leadership skills. Ranjitha P | Sr. IT Recruiter ranjitha.p@technogeninc.com Docker, GCP, AI/ML, artificial intelligence, or Azure, Kubernetes/OpenShift).

DivIHN (pronounced “divine”) is a CMMI ML3-certified Technology and Talent solutions firm. Driven by a unique Purpose, Culture, and Value Delivery Model, we enable meaningful connections between talented professionals and forward-thinking organizations. Since our formation in 2002, organizations across commercial and public sectors have been trusting us to help build their teams with exceptional temporary and permanent talent. Visit us at https://divihn.com/find-a-job/ to learn more and view our open positions. Please apply or call one of us to learn more For further inquiries regarding the following opportunity, please contact our Talent Specialist, Abdul at (224) 507-1295 or Saravanakumar at (224) 507-1183 Title: AI Developer - Hybrid Duration: 6 Months Location: Palo Alto, CA Hybrid 3 days onsite a week Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered. About the Team The Enterprise AI team is client's internal AI enablement engine. We evaluate where AI can make a real difference, build the platforms and patterns that make adoption easy, and help engineering teams across the organization work smarter and faster. We operate at the intersection of applied AI, distributed systems, and enterprise operations our job is to make client more efficient, one AI-powered workflow at a time. This is a high-impact, high-autonomy team where you'll work closely with engineering, product, and operations teams across client to bring AI capabilities to life. About the Role As an Applied AI Developer on the Enterprise AI team, you'll evaluate where AI fits, build the tools and platforms that make it practical, and enable teams across client to adopt modern AI development patterns including LLM orchestration, agentic workflows, and model governance. You stay hands-on and outcomes-oriented: prototyping, evaluating emerging AI technologies, and shipping solutions that make the organization measurably more efficient. What You'll Do Think AI-first assess where agentic approaches genuinely outperform conventional solutions, then own the quality bar: build automated evals, simulation tests, and regression frameworks that keep our AI systems reliable and improving as they scale. Design agentic systems tool orchestration, agent reasoning, memory, MCP integrations, and human-in-the-loop workflows. Define and implement AI governance patterns guardrails, data lineage, auditability, and responsible AI practices that ensure our agentic systems are safe, compliant, and trustworthy. Drive adoption through pilots, proofs-of-concept, and scalable implementations across engineering teams. Collaborate with various business functions, product, security, and platform teams to translate AI use cases into production-grade, end-to-end solutions. What We're Looking For 5 years of professional software engineering, with at least 2 years focused on applied AI in production systems. Proficient in Python and/or Go; comfortable reading and writing in the other. Proven experience building and scaling multi-agent or agent-driven systems in production real-world operational ownership, not just simple LLM workflows. Hands-on experience with modern agent ecosystems, including frameworks (e.g., LangGraph, Google ADK, Mastra, Claude Agent SDK), observability and evals tooling (e.g., Langfuse, LangSmith, Braintrust), MCP implementations, and leading AI SDKs (e.g., OpenAI, Anthropic). Strong systems and backend architecture fundamentals designing scalable, reliable systems and handling infrastructure, performance, failure modes, cost, and deployment concerns. Good understanding of cloud-native environments (GCP and/or AWS) compute, storage, networking, and managed AI services. Experience designing and integrating with enterprise APIs (REST, GraphQL) including authentication and authorization patterns (OAuth2, SAML, API keys, RBAC). Comfortable working with backend databases (SQL and NoSQL) writing queries, understanding data models, and building data access layers that enforce role-based access control. Strong cross-functional collaborator and communicator, able to partner with Product, Operations, and domain experts to deliver end-to-end systems with measurable real-world impact. A force-multiplier on the team you raise the bar for clarity of thinking, system design standards, and team execution. Nice to Have Experience with AI evaluation tooling (Langfuse, LangSmith, Braintrust, or custom eval frameworks). Experience building custom MCP servers, not just consuming them. Familiarity with containerization and orchestration (Docker, Kubernetes). AI-native builder with high velocity and ownership intellectual curiosity, rapid adoption of new tools, bias to action, and the ability to drive ambiguous problems from concept to production. Hands-on experience with inference cost optimization managing spend as agent deployments scale. Experience using AI-powered coding agents (e.g., Claude Code, GitHub Copilot, Cursor, Windsurf) to accelerate development workflows rapid prototyping, code generation, debugging, and test writing. Experience with RAG (Retrieval-Augmented Generation) architectures and document retrieval pipelines vector databases, embedding models, chunking strategies, and hybrid search for building agents that answer questions grounded in enterprise documentation. About us: DivIHN, the 'IT Asset Performance Services' organization, provides Professional Consulting, Custom Projects, and Professional Resource Augmentation services to clients in the Mid-West and beyond. The strategic characteristics of the organization are Standardization, Specialization, and Collaboration. DivIHN is an equal opportunity employer. DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status. REST, Python, NoSQL, GitHub, GraphQL, AI

Requisition Number: 27706 Required Travel: 0 - 10% Employment Type: Full Time/Salaried/Exempt Anticipated Salary Range: $97,101.00 - $160,000.00 Security Clearance: TS/SCI Level of Experience: Senior HI This opportunity resides with All-Domain Operations (ADO), a business group within HII’s Mission Technologies division. All-Domain Operations comprises multi-domain operations, platforms and logistics, and intelligence operations. HII designs, develops, integrates and manages the sensors, systems and other assets necessary to support integrated ISR operations and accelerated decision-making. With data fusion and mission management capabilities for the Department of Defense, the combatant commands and the intelligence community, HII advances the mission around the globe. Meet HII’s Mission Technologies Division Our team of more than 7,000 professionals worldwide delivers all-domain expertise and advanced technologies in service of mission partners across the globe. Mission Technologies is leading the next evolution of national defense – the data evolution - by accelerating a breadth of national security solutions for government and commercial customers. Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class. Find the role that’s right for you. Apply today. We look forward to meeting you. To learn more about Mission Technologies, click here for a short video: https://vimeo.com/732533072 Summary HII Mission Technologies is seeking Geospatial Intelligence (GEOINT) Analysts near Ft. Gordon, GA! As part of this mission, you’ll contribute to high‑impact GEOINT exploitation, analysis and reporting of all Advanced GEOINT and Special Access Program (SAP), and related disciplines and products produced by the Army GEOINT Enterprise. Your expertise will help drive critical intelligence insights for Army operations worldwide! *This posting is to collect applications for current and future openings for HII-Mission Technologies. Candidates will be screened as opportunities come available and selected candidates will be contacted about an opportunity. What you will do The Geospatial Analyst shall perform analysis of the full spectrum of US Government and commercial GEOINT assets and maintain expertise in all associated tradecraft, including Synthetic Aperture RADAR (SAR), Electro-Optical (EO), Moving Target Indicator (MTI), Light Detection and Ranging (LiDAR), Overhead Persistent Infrared (OPIR), Geospatial Information and Services (GI&S), Wide Area Persistent Surveillance (WAPS), geospatial data processing, analysis and modeling, and general intelligence analysis Maintain proficiency with all tools and databases necessary to access supporting intelligence information required for the execution of GEOINT support to the customer Use geographic information systems, methods, and tools to answer critical intelligence questions Perform specialized scientific and technical data processing techniques utilizing non-standard and developmental software suites, to include SAP, CAP, and CNWDI level programs; stage for exploitation; and provide requisite training as required by the Government Adhere to all GEOINT related technical publications, policies, and directives at the National, Theater, and local level Responsible for capturing analytical findings in textual, graphic, vector, or other formats as directed by national and local policy and will ensure that GEOINT reporting adheres to national, theater, and local policies which govern content, accuracy, formatting, classification, and timeliness Maintain familiarity and expertise with all relevant classification guides, security policy, and Intelligence Community Directives (ICDs) Remain abreast of geo-political events, topics, atmospherics, and current events as they relate to supported Combatant Commands and respective theaters, to provide informed, insightful, and timely answers to customer intelligence requirements Additional duties as assigned or required What we are looking for GEOINT Analyst 4: 9 years relevant experience with Bachelors in related field; 7 years relevant experience with Masters in related field; 4 years relevant experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 13 years relevant experience GEOINT Analyst 5: 15 years relevant experience with Bachelors in related field; 13 years relevant experience with Masters in related field; 10 years relevant experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 19 years relevant experience Experience with Intelligence Community (IC) and DoD geospatial data and repositories Familiarity with Army, DoD, or IC geospatial processes, policy, and programs Demonstrated experience using geospatial Python, R, SAS, Java or other coding languages to deliver custom geoprocessing and analytical workflows Expert knowledge of industry standard location analysis desktop and server applications such as Esri ArcGIS Platform, QGIS, MapBox, GeoServer, etc Experience using and managing spatial relational databases including Oracle, MSSQL, or PostGreSQL/PostGIS Extensive experience with geographically-derived assessments, enterprise data integration, spatial data governance, metadata management and interpretation of business and performance metrics Expert ability to present geospatial information via multimedia presentations and written reports Experience in coordination and collaboration with industry counterparts on technical projects, software and service assessment, and other related subject material Clearance: Must possess and maintain a TS/SCI clearance Bonus points for... GEOINT Analyst 4: Masters in a technical field such as Geomatics, Geospatial Sciences, or related degree AND 5 years of relevant experience; OR Bachelors in a technical field such as Geomatics, Geospatial Sciences, or related degree AND 10 years of relevant experience; OR High School Diploma/GED AND training with a DoD/ Geospatial Information Services career field/ military occupational specialty AND at least 15 years of Intelligence Analysis experience GEOINT Analyst 5: Masters in a technical field such as Geomatics, Geospatial Sciences, or related degree AND 10 years of relevant experience; OR Bachelors in a technical field such as Geomatics, Geospatial Sciences, or related degree AND 15 years of relevant experience Experience working within common project management frameworks Demonstrated knowledge and experience in cartography, GIS, spatial modeling Private sector (e.g., GISP, Esri Professional, etc.) or government (e.g., GPC series) professional GIS certification Knowledge of Microsoft office tools and graphic design principles Familiarity with DoD/NSG Structured Observation Management (SOM) and object- based production Physical Requirements May require working in an office, industrial, shipboard, or laboratory environment. Capable of climbing ladders and tolerating confined spaces and extreme temperature variances. HII is more than a job - it’s an opportunity to build a new future. We offer competitive benefits such as best-in-class medical, dental and vision plan choices; wellness resources; employee assistance programs; Savings Plan Options (401(k)); financial planning tools, life insurance; employee discounts; paid holidays and paid time off; tuition reimbursement; as well as early childhood and post-secondary education scholarships. Bonus/other non-recurrent compensation is occasionally offered for qualified positions, and if applicable to this role will be addressed by the recruiter at the screening phase of application. Why HII We build the world’s most powerful, survivable naval ships and defense technology solutions that safeguard our seas, sky, land, space and cyber. Our workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals. Recognized as one of America’s top large company employers, we are a values and ethics driven organization that puts people’s safety and well-being first. Regardless of your role or where you serve, at HII, you’ll find a supportive and welcoming environment, competitive benefits, and valuable educational and training programs for continual career growth at every stage of your career. Together we are working to ensure a future where everyone can be free and thrive. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law. Do You Need Assistance? If you need a reasonable accommodation for any part of the employment process, please send an e-mail to buildyourcareer@hii-co.com and let us know the nature of your request and your contact information. Reasonable accommodations are considered on a case-by-case basis. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address. Additionally, you may also call 1-844-849-8463 for assistance. Press #3 for HII Mission Technologies.

AI Architect Job Number: 26-00889 Find your next opportunity in the Financial Services Industry. ECLARO is looking for an AI Architect for our client in Remote, MA. ECLARO’s client’s provides retirement savings, health & investment management and insurance services. If you’re up to the challenge, then take a chance at this rewarding opportunity Position Overview: The AI Architect is responsible for designing, developing, and governing enterprise grade AI solutions that align with business strategy. This role blends deep technical expertise in artificial intelligence, machine learning, Data, and cloud architecture with strong product intuition, security awareness, and leadership. The AI Architect ensures that AI initiatives are scalable, ethical, secure, cost efficient, and integrated into the broader enterprise ecosystem. Responsibilities: AI Strategy & Solution Architecture: Define and evolve the enterprise AI architecture, ensuring alignment with business, data, and technology strategies. Design scalable, secure, and compliant automation solutions to streamline across the enterprise Architect end to end AI solutions including data engineering, RAG model development, model operations (MLOps), and lifecycle management. Partner with business, product, and engineering teams to translate business problems into appropriate AI / ML approaches. Develop reference architectures and reusable patterns for generative AI, Agentic AI, predictive models, conversational systems, and intelligent automation. Technical Leadership: Provide architectural oversight across AI / ML projects to ensure consistency, performance, and maintainability. Evaluate and select AI technologies, frameworks, cloud services, vector databases, LLM orchestration frameworks, and tooling. Support development teams on model selection, training pipelines, prompt engineering, fine tuning, RAG (Retrieval-Augmented Generation), and evaluation methodologies. Mentor engineers, analysts, and product teams on AI best practices. Data, Integration & Platforms: Partner with data architects and engineering to ensure robust data pipelines, governance, feature stores, and architecture. Design secure and performance integration between AI models and enterprise systems (APIs, microservices, events). Governance & Compliance: Ensure AI solutions adhere to enterprise security standards, data privacy policies, and regulatory requirements. Implement responsible AI guardrails, fairness checks, explainability frameworks, and monitoring. Develop and maintain automation governance frameworks, documentation, and audit trails. Operations & Optimization: Define MLOps / LLMOps standards including CI / CD pipelines, model monitoring, drift detection, observability, and rollback processes. Drive continuous improvement of model performance, cost optimization, and operational efficiency. Establish KPIs, telemetry, and feedback loops for production AI systems. Collaboration & Enablement: Partner with IT, compliance, operations, and customer service teams to align automation initiatives with business goals. Mentor and guide developers and analysts to build a center of excellence (CoE) for automation. Required Qualifications: 5 years of experience in application development, engineering, or solution delivery roles. 1 years of hands-on experience in AI / ML engineering, data science, or AI solution architecture. Strong hands-on experience with machine learning frameworks and LLM platforms (e.g., OpenAI, Azure AI Foundry, Copilot Studio / Agent Builder, or comparable generative AI ecosystems). Deep expertise in cloud platforms, particularly Microsoft Azure, and modern architectural patterns (microservices, event-driven architectures, API-first design). Proficiency in one or more of the following: Python, Azure Machine Learning, or related AI / ML tooling. Experience with MLOps / LLMOps ecosystems, including tools such as MLflow, Kubernetes, LangChain, vector databases, and feature stores. Strong hands on experience with ML frameworks, LLM platforms - OpenAI, MSFT / Azure Cloud foundry, Copilot Studio Agent builder, low code / no code platforms, and generative AI tools. Background in RAG systems, model fine tuning, embeddings, vector storage, and retrieval optimization. Preferred Skills: Experience enterprise-wide AI programs or platform buildouts. Strong understanding of data governance, privacy, security, and model risk management. Prior experience with large-scale transformation programs. If hired, you will enjoy the following ECLARO Benefits: 401k Retirement Savings Plan administered by Merrill Lynch Commuter Check Pretax Commuter Benefits Eligibility to purchase Medical, Dental & Vision Insurance through ECLARO If interested, you may contact: Melissa Francisco Melissa.Francisco@eclaro.com 646-849-5125 Melissa Francisco | LinkedIn Equal Opportunity Employer: ECLARO values diversity and does not discriminate based on Race, Color, Religion, Sex, Sexual Orientation, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status, in compliance with all applicable laws.

Job DescriptionAbout Us At Vector Media, we’re building the future of Mobility Marketing, where media moves with people, meets them in real life, and makes a lasting impression. In an advertising world cluttered with screens and scrolls, we deliver real-world media with real results. Our high-impact media, including fully wrapped double decker buses and custom designed experiential experiences, turn heads in cities nationwide. And with assets in 50+ markets, we bring campaigns to life across communities, cultures, and coasts. Our experiential team allows us to activate anywhere in the country. Vector Media’s wide variety from double decker buses, light rail, digital bus shelters and a wide variety of experiential assets enables brands to connect with consumers at the street-level in cities, college campuses and sporting events. We connect brands with audiences in the moments that matter most. Founded in 1998, Vector has grown from an OOH disruptor into a full-service platform built on data, creativity, and movement. We call it Marketing in Motion, which brings unique benefits of high impact and efficiency because we bring the advertising to audiences wherever they are. But what truly sets us apart is how we show up: as partners. With our clients. With our media partners. With each other. Through accountability, innovation, and shared ambition, we’re helping brands do more than reach people, we’re helping them move people. What We Value • Accountability: Taking ownership of our actions, learning from mistakes, and earning trust through responsibility., • Growth: Supporting personal and professional development, knowing that when our team members thrive, the company thrives., • Excellence: Always striving for the best possible results and never settling for “good enough”., • Fun: Bringing energy, creativity, and joy into our work while celebrating our successes together. Position Summary Vector Media is seeking a VP, Brand Partnerships to join our Brand Partnerships team. This is an individual contributor sales position reporting to the EVP, Brand Partnerships & Experiential. This individual is responsible for capturing untapped markets and transforming zero-share brands into long-term partners by proactively calling on senior brand, marketing, media, and experiential decision-makers (including CMOs, VPs of Marketing, and Media Directors). The VP, Brand Partnerships will monetize Vector’s entire national portfolio directly to brands, including our fully wrapped Double Decker buses, public transit, experiential assets, Vector Sports, and Vector College. While the account list covers all consumer verticals, it will heavily focus on beauty and fashion. Relatedly, varied media sales experience with top beauty, fashion, or luxury publications, alongside a strong background in experiential sales, is highly desired. In this role, the VP, Brand Partnerships will leverage Vector’s unique asset offerings to position the company as the premier nationwide media partner. The VP, Brand Partnerships will establish relationships through proactive outreach (phone, email, in person meetings) and partner with Vector’s National agency team to build comprehensive account plans, ensuring transparent collaboration as business transitions from client interest to agency activation. This is a hybrid role based in New York, NY, requiring 3 days a week in office. Total Compensation Package Range Details: $275,000 - $350,000 including salary ($120,000-$155,000), earned commissions and potential for bonus. The salary and total compensation range is subject to change and may be amended in the future. Experience, education, skills, and other factors are considered when determining the salary and level of position offered. Who You Are: • A quick learner, self-motivated with a strong sense of professionalism, good organizational skills, ability to prioritize, multi-task and meet tight deadlines., • A thorough worker focused on attention to detail., • An entrepreneurial spirit that's motivated to drive business growth., • An excellent communicator and presenter with the ability to work independently to find new accounts. A self-motivated individual with a detail oriented and results driven personality. What You’ll Bring:, • Bachelor’s degree., • 7-10+ years of media sales experience, specifically working with top beauty, fashion, and/or luxury publications is highly desired., • 5-7+ years of experience selling to brand-direct clients (not agencies)., • Strong book of direct clients across full spectrum of industry verticals, • Deep relationships with clients at CMO, Media Director, Brand Manager level, • Proven sales track record activating and retaining new brands (has strong brand-direct clients and can make immediate impact)., • Polished sales, presentation, and communication skills., • Exceptional team player, interested in working as part of a highly coordinated, focused organization., • Attention to delivering the highest level of sales and operational customer service.What You’ll Do:, • Proactively identify new revenue opportunities; drive account growth and profitability acceleration including new business, up-sell and cross-sell opportunities., • Own extensive client communication, strategic planning and troubleshooting account complications to promote client satisfaction; develop and improve executive level relationships within named account(s)., • Provide thought leadership and consultation on aligning client business needs to products, solutions and services offered., • Drive contract negotiations for business in support of new sales, account growth and contract renewals., • Own revenue forecasting (via Salesforce.com) and ensure accuracy of sales entries. Vector Media is an Equal Opportunity Employer and does not discriminate on the basis of sex, race, age, national origin, ethnic background, disability, veteran status or any other characteristic protected by law. Powered by JazzHR g8MwhTYnna

Job Title: Data Scientist Duration: 6 Months to hire Location: Newark, NJ Job description: As a Data Scientist supporting U.S. Businesses (USB) Service, Data and Technology organization, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to design, build, and deploy production-grade AI capabilities for our businesses. The role requires a rare combination of sophisticated AI engineering expertise; business acumen; strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. This role is based in our office in Newark, NJ. Our organization follows a hybrid work structure where employees can work remotely and from the office, as needed, based on demands of specific tasks or personal work preferences. This position is hybrid and requires your on-site presence on a reoccurring weekly basis at least 3 days per week. Here is what you can expect in a typical day: • Responsible for the hands-on design and development of production-grade GenAI and Agentic solutions comprising the portfolio developed by the Data Science Lead and the technical requirements specified. Perform hands-on context engineering, agent design, model integration, and end-to-end AI system development., • Design and build AI agent harnesses, orchestration frameworks, and context engineering pipelines; develop and integrate Model Context Protocol (MCP) servers to expose tools, data sources, and enterprise APIs to AI agents in a standardized, secure manner; and implement Agent-to-Agent (A2A) communication patterns and multi-agent architectures to solve complex, multi-step business problems., • Write production-level code and partner with machine learning engineers and platform teams to deliver AI solutions from development through production following the full AI lifecycle., • Continuously research new methods for problem solution, including new algorithms, agentic frameworks, context management techniques, and AI application patterns., • Partner with machine learning engineers to productionize AI solutions. Partner with data engineers to build data pipelines. Partner with software engineers to integrate solutions with business platforms. The Skills and expertise you bring: • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines, • Working on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results., • Ability to learn new skills and knowledge on an ongoing basis through self-initiative and seeking challenges, • Excellent problem solving, communication and collaboration skills Applied experience with several of the following: • AI Engineering & Production AI Lifecycle: Ability to design, build, and deliver AI systems end-to-end in a production environment. Deep understanding of the AI lifecycle — from problem framing and data preparation through model development, evaluation, deployment, monitoring, and continuous improvement. Experience with CI/CD for AI, model versioning, observability, and responsible AI practices., • Generative AI, Agentic & Context Engineering: Expertise in modern Generative AI and NLP technologies including LLMs, RAG, LangChain, LangGraph, vector databases, etc. Skilled in context engineering — prompt engineering, dynamic context construction, context window management, and structured output design. Experience building AI agent harnesses and orchestration frameworks including scaffolding, tool registries, and evaluation loops. Hands-on experience designing MCP servers to expose enterprise tools and APIs to AI agents, and implementing Agent-to-Agent (A2A) communication patterns and multi-agent architectures to solve complex, multi-step business problems., • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models, • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python., • Database Management System: Knowledge of how databases are structured and function in order to use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc., • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured)., • AWS DevOps: Experience in the project development life cycle in an AWS environment. Familiar with development, QA, staging and production deployment stages., • Programming Languages: Python, SQL

DESCRIPTION: The Executive Producer will oversee the production of high-impact events, fashion shows and activations, ensuring seamless execution from concept through live delivery. This role manages all aspects of event production, including planning, budgeting, staffing, and vendor management, while acting as the main liaison between clients and internal teams. The Executive Producer will also drive innovation in event execution, foster strong industry relationships, and identify new business opportunities. RESPONSIBILITIES: Leadership & Team Management: -Lead Producers and Coordinators to ensure timely delivery of projects within budget. -Align full-time and freelance resources to execute project objectives with excellence. -Inspire and challenge project teams by seeking innovative solutions and production methods. Client & Internal Collaboration: -Act as an advocate for the client, translating their business needs to the internal team. -Collaborate with Leadership and Executives to develop proposals, SOWs, and Change Orders, including objectives, approach, estimates, and timelines. -Provide real-time status updates to Executive leadership while anticipating future needs. Project Execution & Strategy: -Develop and implement an engagement strategy, ensuring optimal team involvement for project success. -Manage project goals, deliverables, schedules, budgets, and resources, collaborating with discipline leads. Vendor & Talent Management: -Build and manage strong relationships with vendors and freelance talent to secure the best talent and pricing for projects. QUALIFICATIONS: -10+ years producing events and live activations, including content creation, AV production, and project mapping. -Experience with luxury brand activations, fashion shows, multi-day pop-ups, and live music concerts. -Strong ability to handle sensitive information with integrity and confidentiality. -Skilled in managing multiple projects with budgeting and negotiation expertise. -Established global relationships with fashion industry leaders and high-level event vendors. -In-depth knowledge of vendor pricing for large and small-scale productions. -Strong leadership skills, with a collaborative approach and ability to inspire teams. -Excellent time management, multitasking, and ability to work under pressure. -Strategic thinker with a solution-based mindset. -Exceptional verbal and written communication skills. -Proficient in Microsoft Office Suite, Adobe Creative Suite, and CAD/Vector Worx. -Ability to travel for events, fashion weeks, and client activations. Salary: $160K+

Hi, Hope you are doing well. Please find the below JD. Title: Gen AI Architect Location: NYC, NY/NJ Type of Hire: Full Time Job Description Experience • 10+ years of experience in ML and Engineering, • 5+ years in architecture or solution design roles, • Proven track record of delivering production-grade solutions on Azure, • Hands-on experience owning end-to-end application lifecycle (design → deployment) Responsibilities • Lead architecture and development of enterprise web applications with Generative AI integration, • Define scalable, secure architecture patterns and implementation standards, • Collaborate with product, AI/ML, DevOps, security, and network teams, • Drive full-stack engineering best practices (backend, frontend, infrastructure), • Design and integrate LLMs, embeddings, RAG pipelines, and vector databases, • Ensure production readiness (security, performance, monitoring, compliance) Mandatory Technical Skills Cloud Architecture (Azure) • Design cloud-native, microservices, and event-driven architectures, • Hands-on experience with Azure services (App Services, AKS, Functions, API Management, Event Grid, Service Bus, Storage, Key Vault), • Strong understanding of subscription design, resource hierarchy, and environment isolation Networking & Security • Experience with VNETs, subnets, private endpoints, and service endpoints, • Knowledge of NSGs, ASGs, routing, firewalls, VPN/ExpressRoute, • Familiarity with IP restrictions, TLS, certificates, and authentication flows, • Implementation of Zero Trust, RBAC, managed identities, and secure secrets handling Performance & Scalability • Experience with caching (Redis, CDN), • Knowledge of async processing (Kafka, RabbitMQ), • Hands-on with load balancing, auto-scaling, and performance tuning GenAI Integration • Experience with Azure OpenAI and RAG-based architectures, • Knowledge of embeddings, prompt engineering, and vector search, • Experience with Azure AI Search or PostgreSQL extensions, • Ability to orchestrate LLM pipelines in production Backend Engineering • Strong REST API design (versioning, throttling, API gateways), • Expertise in PostgreSQL and MongoDB (data modeling, optimization), • Experience with OAuth2, SSO, and secure coding practices (GDPR/SOC2 aligned) Frontend Engineering • Experience with React / Next.js, • Knowledge of component libraries and enterprise UI design patterns DevOps & Infrastructure as Code • Experience with Azure DevOps or GitHub Actions for CI/CD, • Proficiency in Docker, Kubernetes (AKS), and Helm, • Infrastructure automation using Terraform or Bicep, • Experience with blue-green deployments and canary releases Real-Time & Scalable UI • Knowledge of WebSockets and Server-Sent Events (SSE), • Experience with state management and high-performance UI rendering Testing & Observability • Experience with automated unit and end-to-end testing, • Strong knowledge of logging, monitoring, and tracing (App Insights, Log Analytics), • Familiarity with alerting and observability best practices We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law. _

Technical Delivery Manager - GenAI Remote - Need some flexibility on time zone. 6-12 months assignment with possibility for extension Job Description: Required Skills & Experience • Proven experience in coordinating, planning, and prioritizing tasks for medium-to-large engineering teams., • Good knowledge of GenAI architectures, RAG pipelines, vector databases, and prompt engineering., • Proficiency in Python, JavaScript, and TypeScript., • Familiarity with FAISS, Pinecone, Milvus, and retrieval optimization., • Understanding of cloud-based LLM providers like OpenAI, Anthropic, Google Vertex AI, and AWS Bedrock., • Experience in API design and integration architecture for AI/ML systems, • Experience in building ETL workflows and data cleaning pipelines for production., • Practical experience with MongoDB, including querying and optimization., • Experience designing reporting and dashboard solutions with Plotly, Dash, PowerBI, or custom tools., • Skilled with Git, Docker, and CI/CD pipelines (GitHub Actions preferred)., • Good debugging and performance optimization skills., • Ability to drive high-quality initiatives to completion in fast-paced environments. Preferred Qualifications • Experience leading production-level GenAI or RAG deployments., • Experience building scalable data visualization frameworks and dashboards., • Proficiency with cloud platforms (Azure, AWS, or GCP) for data and AI., • Background in defining and implementing AI system metrics and KPIs, • Experience in vendor evaluation and management for AI services, • Good ability to collaborate and mentor across engineering, product, and data science teams.

Description Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intelligence (AI) systems? Want to help the largest global enterprises derive business value through the adoption and automation of Generative AI (GenAI)? Excited by using massive amounts of disparate data to develop AI/ML models? Eager to learn to apply AI/ML to a diverse array of enterprise use? Thrilled to be a key part of Amazon, who has been investing in Machine Learning for decades - pioneering and shaping the world's AI technology? The Amazon Web Services Professional Services (ProServe) team is seeking a skilled ML Engineer to join our team as a Delivery Consultant at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS AI/ML and GenAI solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the ML project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure AI/ML and GenAI solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities Key job responsibilities As an experienced technology professional, you will be responsible for: 1. Implementing end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, deployment and monitoring 2. Designing and implementing machine learning pipelines that support high-performance, reliable, scalable, and secure ML workloads 3. Designing scalable ML solutions and operations (MLOps) using AWS services and leveraging GenAI solutions when applicable 4. Collaborating with cross-functional teams (Applied Science, DevOps, Data Engineering, Cloud Infrastructure, Applications) to prepare, analyze, and operationalize data and AI/ML models 5. Serving as a trusted advisor to customers on AI/ML and GenAI solutions and cloud architectures 6. Sharing knowledge and best practices within the organization through mentoring, training, publication, and creating reusable artifacts 7. Ensuring solutions meet industry standards and supporting customers in advancing their AI/ML, GenAI, and cloud adoption strategies This is a customer-facing role with potential travel to customer sites as needed. About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications - Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience - 3+ years of cloud architecture and solution implementation experience - 3+ years data, software, or ML engineering, with understanding of distributed computing (e.g., data pipelines, training and inference, ML infrastructure design) - 3+ years developing predictive modeling, natural language processing, and deep learning, with experience in building and deploying ML models on cloud (e.g., Amazon SageMaker or similar) - 3+ years developing with SQL, Python, and at least one additional programming language (e.g., Java, Scala, JavaScript, TypeScript) Preferred Qualifications - Experience communicating technical concepts to a non-technical audience - Knowledge of security and compliance standards including HIPAA and GDPR - Knowledge of one or more ML Frameworks (e.g., PyTorch, TensorFlow) and ML methods including NLP models (BERT, GPT-2/3), computer vision-based models (object detection, image recognition), and text-based models (Seq2Seq, Topic modeling) - AWS experience preferred, with proficiency in a range of AWS services (e.g., SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch, Step Functions, VPC, CloudFormation) - Experience with automation (e.g., Terraform, Python), Infrastructure as Code (e.g., CloudFormation, CDK), and Containers & CI/CD Pipelines - Experience building ML pipelines with MLOps best practices, including: data preprocessing, model hosting, feature selection, hyperparameter tuning, distributed & GPU training, deployment, monitoring, and retraining - Experience with MLOps (e.g., MLFlow, Kubeflow) and orchestration (e.g., Airflow, AWS Step Functions). Experience building applications using GenAI technologies (LLMs, Vector Stores, LangChain, Prompt Engineering) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, San Diego - 131,300.00 - 177,600.00 USD annually USA, CA, San Francisco - 151,000.00 - 204,300.00 USD annually USA, GA, Atlanta - 131,300.00 - 177,600.00 USD annually USA, IL, Chicago - 131,300.00 - 177,600.00 USD annually USA, NY, New York - 144,500.00 - 195,400.00 USD annually USA, TX, Dallas - 131,300.00 - 177,600.00 USD annually USA, WA, Seattle - 131,300.00 - 177,600.00 USD annually

Scale GP (Scale Generative AI Platform) is an enterprise-grade AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our core infrastructure in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail. What You'll Do: • Architect multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers, • Implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Collaborate with platform, product teams and our customers directly to develop and implement innovative infrastructure that scales to meet evolving needs., • Deliver experiments at a high velocity and level of quality to engage our customers, • Work across the entire product lifecycle from conceptualization through production, • Be able, and willing, to multi-task and learn new technologies quickly What We're Looking For: • 4+ years of full-time engineering experience, post-graduation, • Experience scaling products at hyper growth startups, • Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies, • Proficient in Python or Javascript/Typescript, and SQL, • Experience with Kubernetes, • Experience with major cloud providers (AWS, Azure, GCP), • Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,000—$270,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's _ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our _ for additional information.

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role: Elastic, the Search AI company, is looking for a high-energy Enterprise Account Executive to drive net-new revenue and expansion within strategic Enterprise accounts. You'll be the owner of a defined territory where you'll build your own pipeline, tell the Elastic Search AI story, and close complex, multi-stakeholder deals in a consumption-based model. This role sits at the intersection of sales execution, technical fluency, and cross-functional collaboration-and is critical to our growth in the Enterprise segment. What You Will Be Doing: • Own your territory & build pipeline: Develop and execute a proactive outbound cadence (email, call, social) that generates at least 50% of your booked opportunities., • Deep discovery & qualification: Uncover pain, business impact, budget, and decision criteria using frameworks like MEDDPICC so you chase only the highest-confidence deals., • Value storytelling & demos: Craft and deliver tailored narratives and live demos that map Elastic's Search, Observability, and Security capabilities to measurable business outcomes., • Mutual deal strategy & forecast accuracy: Collaborate with customers to build formal close plans and keep your CRM up-to-date, maintaining at least 90% forecast accuracy within 10%., • Executive negotiation & closing: Lead high-stakes contract and pricing discussions-defend your value, structure give/get trades, and land multi-year consumption commitments., • Domain & cloud acumen: Position Elastic as the Search AI platform of choice by speaking fluently about cloud economics, usage-based pricing, and modern data architectures., • Cross-functional partnership: Work hand-in-glove with Solutions Architects, Customer Success, Marketing, and RevOps to accelerate deals and drive exceptional customer outcomes. What You Bring: • Proven SaaS quota-carrying success: 5+ years closing complex Enterprise deals, consistently overachieving targets in a consumption-based or usage-model environment., • Expert discovery & qualification skills: Demonstrated ability to apply MEDDPICC or equivalent frameworks to drive disciplined pipeline and eliminate low-probability deals., • Compelling value storytellers: Track record of delivering executive-level presentations and demos that tie product capabilities to real dollars saved, revenue gained, or risk mitigated., • Strong negotiation chops: History of landing multi-year, high-ACV contracts while protecting margin and securing executive stakeholder buy-in., • Technical & cloud fluency: Comfortable discussing a broad range of technical topics including observability, security, vector/traditional search, and cloud cost optimization., • Collaborative mindset & coachability: A learner who partners effectively with internal teams, incorporates feedback, and embodies Elastic's values of community and openness., • Open Source enthusiasm: Genuine appreciation for open-source communities and the Elastic model-bonus if you've sold or advocated in an OSS context. Bonus Points: • Prior experience at an open-source or developer-centric infrastructure company., • Familiarity with observability (logs, metrics, traces) or security analytics (SIEM/XDR) use cases. If you're driven to build your own pipeline, master complex deal cycles, and help customers unlock the power of Search AI, we'd love to talk. Apply today! Additional Information - We Take Care of Our People: As a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions, and while regulations differ from place to place, we believe taking care of our people is the right thing to do. • Competitive pay based on the work you do here and not your previous salary, • Health coverage for you and your family in many locations, • Ability to craft your calendar with flexible locations and schedules for many roles, • Generous number of vacation days each year, • Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service, • Up to 40 hours each year to use toward volunteer projects you love, • Embracing parenthood with a minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email _. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws and can view the following posters linked below: _ _ Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries' export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see _ for our Privacy Statement. Compensation for this role is in the form of base salary plus a variable component, that together comprise the On-Target Earnings (OTE). On-Target Earnings (OTE) are based on a 50/50 pay mix (base salary / target variable). The typical starting OTE range for new hires in this role is listed below. This range represents the lowest to highest OTE we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's position within the OTE range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being. The typical starting salary range for this role is: $113,300-$179,100 USD The typical starting Target Variable range for this role is: $113,200-$179,100 USD The typical starting On-Target Earnings (OTE) range for this role is: $226,500-$358,300 USD

Presidio, Where Teamwork and Innovation Shape the Future AtPresidio, we're at the forefront of a global technology revolution, transforming industries throughcutting-edge digital solutions and next-generation AI. We empower businesses-and their customers-to achieve more through innovation, automation, and intelligent insights. The Role A Presidio Digital Services Principal Architect, Healthcare and Life Sciences (HCLS), leads presales discovery, analysis, architecture, design, proposals, and scope-of-work creation, translating customer requirements into outcome-focused solutions through direct client engagement with HCLS accounts. Leveraging sharp business acumen alongside technical expertise, a builder mentality, presales methodology, and strong relationships (clients, Presidio stakeholders, and vendor partners); the Principal Architect assesses industry, customer, technical, and sales context to position solutions that deliver measurable, long-term value. This is a client-facing, 100% presales role that operates at the intersection of sales, delivery engineering, and customer executives to ensure we only propose solutions that are desirable for the client, feasible for delivery, and viable for Presidio This position will be based in any location in the United States with a preference for candidates that live in the EST or CST zones. This role includes up to 30% travel. Key Responsibilities: • Drive Digital Services Sales. In partnership with sales teams, formulate and execute a technical sales strategy to exceed revenue objectives through the adoption of Presidio Digital Services - application modernization, application development, software development lifecycle (SDLC), artificial intelligence (AI), and data estate and platform modernization. You act as the primary technical lead on pursuits, shaping solutions that sales can confidently position and close., • Understand Customer Current State.Proactively drive discovery and understanding of customer IT current state, goals, outcomes, and initiatives across Business, Technical, Operational, and Financial facets. Research industry trends and topics and develop discovery approaches. Develop and lead workshops to drive relevant discovery. Document customer current state to assist customer and sales teams target future state architectures and roadmaps., • Technical Opportunity Leadership.Lead opportunities for relevant services to achieve technical win of Presidio services solutions. Identify customer stakeholders and their individual success criteria and needs. Create and lead technical solution approaches and next steps aligned to customer stakeholders. Align, vet and coordinate Presidio technical resources as needed. Engage Manager/VP/Director level at clients directly., • Practice Delivery Engagement. Act as a bridge between sales and delivery engineering to ensure customer success. Collaborate closely with delivery leads to shape approaches, validate feasibility, right-size risk, and author formal scopes of work. Ensure that what is proposed in presales is realistic, deliverable, and aligned with the way our teams actually execute., • Solution Architecture, Design and Documentation. Analyze and assess client requirements and determine target services approach, solutions, and roadmaps. Create and deliver compelling technical proposals directly to clients, including relevant drawings, diagrams and analysis. Clearly articulate trade-offs, options, and phased approaches that align with client constraints and priorities., • Technical Excellence & Evangelism.Maintain a high level of technical excellence and evangelism across multiple relevant solution architecture and product areas, including emerging AI-driven development and data practices. Understand Presidio's accelerators, reference architectures, and AI-in-SDLC practices well enough to position them credibly in client conversations, while partnering with delivery teams that own detailed implementation. Participate in technical communities, internal knowledge sharing, and external presentations as appropriate., • Account Leadership.Actively participate in client account related activities that establish the Solution Architect as a trusted advisor internally and with customers, such as: Account planning, EBCs, and strategic workshops. Help shape multi-year digital, data, and AI roadmaps in partnership with sales and delivery leadership., • Team Engagement and Enable Culture.Engage Presidio team members, actively participate in team activities, and contribute on collaboration tools to drive an open, positive, inclusive, resilient, change-orientated team culture. Be a steward of the PRESIDIO CORE VALUES -Excellence, Forward-Thinking, Accountability, One Presidio., • Partner Relationships.Develop working relationships with vendor partner teams and peers, prioritizing the hyper-scaler cloud solutions and relevant ecosystems. Contribute to and drive execution of relevant partner vendor GTM strategies., • Continuous Improvement & Innovation. Actively plan and execute growth and career development activities. Seek and collaborate on improvements to presales processes, qualification, and solutioning patterns. Stay current on Presidio's internal practices, methodologies, and AI accelerators so you can continuously refine how you position our differentiated value to clients., • Enable Others.Contribute to the success of others in sales and presales. Actively mentor and enable others. Share methods, content, and lessons learned to raise the overall quality of discovery, solutioning, and proposal development. Required Qualifications: • Bachelor's degree or equivalent experience and/or military experience, • Overall 10+ years of relevant experience, • 7+ years of architecture, design, implementation, and/or consulting in digital and/or cloud technologies, • 5+ years hands-on experience with AWS, Azure, or GCP, with deep expertise in at least one major cloud and readiness to work with others, • Presales experience, • 5+ years of specific domain experience in one or more of the following areas:, • Application development: Building new products, features, or user experiences, • Application modernization: Refactoring legacy codebases, re-architecting monoliths, upgrading frameworks (beyond lift-and-shift or containerization only), • Data engineering and modernization: Modern data platforms (Snowflake, Databricks), data pipelines, large-scale data migration programs, analytics solutions, cloud-native data services (AWS Glue/Redshift/EMR, Azure Synapse/Data Factory, GCP BigQuery/Dataflow), • Software development lifecycle (SDLC) optimization: CI/CD for developer velocity, AI-augmented development, and testing automation, • Artificial intelligence (AI) and Generative AI (GenAI): RAG pipelines, LLM-embedded applications, multi-agent systems, and agentic orchestration approaches, • Extreme ownership mentality with a self-starting approach to ambiguous problems without waiting for direction, • Demonstrated grit and resilience with a track record of running toward tough challenges and navigating uncertainty, • Intellectual curiosity with evidence of independently learning emerging technologies (for example, GenAI, agentic AI, modern data platforms, or cloud services) outside formal training, • Collaborative mindset with humility and the ability to work across sales, delivery engineering, and partner teams, deferring to domain experts when appropriate, • Growth mindset with willingness to course-correct upon feedback and actively seek mentoring and coaching, • Aptitude for consultative presales with a context-first problem-solving approach, • Proven ability to deeply understand customer business friction, desired outcomes, and constraints before architecting solutions, • Demonstrated comfort leading presentations, solution demonstrations, and whiteboard sessions with both technical and executive audiences, • Expert time management and ability to set expectations and provide timely feedback loops to leadership and account teams, • Hands-on engineering background with proven experience writing, reviewing, or refactoring code, or architecting data solutions (not just infrastructure or platform design), • Deep roots in software development or data engineering, with experience building, testing, and shipping software or data solutions, • Prior experience in a presales solution architect, principal architect, or similar role bridging sales and delivery is strongly preferred, • A builder mentality capable of prototyping software and data solution concepts where appropriate, with comfort using AI-accelerated tools as part of your own workflow Preferred Qualifications: • Amazon Web Services (AWS), Google (GCP), and/or Microsoft (Azure) architect-level certifications, • Experience in delivering modern application architectures through hands-on development or code refactoring (for example, microservices, event-driven architectures, serverless, API-first design), • Hands-on software engineering or code development experience (for example, Python, Java, C#, JavaScript/TypeScript, Go, or similar), • Experience with modern data platforms and tools: Snowflake, Databricks, AWS (Glue, Redshift, EMR, Lake Formation), Azure (Synapse, Data Factory, Databricks), GCP (BigQuery, Dataflow, Dataproc), • Data engineering experience including building data pipelines, ETL/ELT, data modeling, data governance, or analytics solutions, • Experience with large-scale data migration or modernization programs, • Experience building GenAI-embedded solutions: RAG pipelines, LLM-based applications, prompt design, vector databases, • Experience with agentic AI frameworks and orchestration: LangGraph, AutoGen, crewAI, Semantic Kernel, or custom multi-agent systems, • Familiarity with data engineering for AI/ML, including feature engineering, vector databases, and data preparation for LLM training or fine-tuning, • Familiarity with AI-accelerated development tools such as GitHub Copilot, Cursor, Amazon CodeWhisperer, Tabnine, or similar, • Experience using AI in the SDLC, including code generation, automated testing, documentation generation, or code review assistance, • Demonstrated curiosity about AI's impact on software and data delivery (for example, through webinars, articles, experiments, or peer discussions), • DevOps experience focused on application delivery and developer productivity (rather than platform operations alone), • Experience with reviewing and/or writing statements of work (SOW), • Experience and/or ability to prepare RFP/RFI responses, proposals, and solution documents, • Demonstrated comfort leading CIO/CTO-level presentations, solution demonstrations, and whiteboard sessions, • Experience working in Healthcare and Life Sciences (HCLS) solutions, companies, or regulated environments, • Awareness of GxP compliance frameworks, 21 CFR Part 11, HIPAA/PHI data handling, and related regulatory constraints, • Familiarity with FHIR interoperability standards, HL7, and EHR/EMR integrations (for example, Epic, Cerner), • Understanding of clinical workflows, payer/provider dynamics, or life sciences R&D and commercialization processes Your future at Presidio JoiningPresidiomeans stepping into aculture of trailblazers-thinkers, builders, and collaborators-who push the boundaries of what's possible. With our expertise inAI-driven analytics, cloud solutions, cybersecurity, and next-gen infrastructure, we enable businesses to stay ahead in an ever-evolving digital world. Here,your impact is real.Whether you're harnessing the power ofGenerative AI, architecting resilientdigital ecosystems, or drivingdata-driven transformation, you'll be part of a team that is shaping the future. Ready to innovate? Let's redefine what's next-together. About Presidio At Presidio, speed and quality meet technology and innovation. Presidio is a trusted ally for organizations across industries with a decades-long history of building traditional IT foundations and deep expertise in AI and automation, security, networking, digital transformation, and cloud computing. Presidio fills gaps, removes hurdles, optimizes costs, and reduces risk. Presidio's expert technical team develops custom applications, provides managed services, enables actionable data insights and builds forward-thinking solutions that drive strategic outcomes for clients globally. For more information, visit www.presidio.com. * Applications will be accepted on a rolling basis. Presidio has a strong commitment to the community we serve and our employees. As an Equal Opportunity Employer, we strive to have a workforce that includes the community we serve. Presidio is an Equal Opportunity Employer Disability/Vets. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information, and other legally protected categories. The "Know Your Rights" Poster is available here: https://www.eeoc.gov/poster Presidio's EEO Policy Statement is available here: https://www.presidio.com/careers Presidio is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an email to recruitment@presidio.com and let us know the nature of your request and your contact information. Presidio is a VEVRAA Federal Contractor requesting priority referrals of protected veterans for its openings. State Employment Services, please provide priority referrals to recruitment@presidio.com. Notice to Massachusetts Candidates: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Recruitment Agencies, Please Note: Presidio does not accept unsolicited agency resumes/CVs. Do not forward resumes/CVs to our careers email address, Presidio employees or any other means. Presidio is not responsible for any fees related to unsolicited resumes/CVs. #LI-JM3 Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the _ notice from the Department of Labor.

Scale GP is building the infrastructure that makes enterprise AI seamless. We are looking for a Senior or Staff Infrastructure Engineer to act as a primary technical lead, engineering the 'paved road' for our knowledge retrieval and inference engines. You won't just be managing resources; you'll be defining the deployment standards for Agentic workflows at scale. Your mission is to bridge the gap between complex AI orchestration and world-class infrastructure, ensuring our platform remains the most reliable destination for enterprise agents The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus. You will architect and implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail. What You'll Do: • Architect multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers., • Use our own data and AI platform to analyze build and test logs and metrics to identify areas for improvement., • Define the architectural patterns for our multi-cloud infrastructure to support secure, reliable, and scalable Agentic workflows for enterprise customers., • Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection., • Collaborate with platform and product teams to develop and implement innovative infrastructure that scales to meet evolving needs., • Design and champion highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale., • Lead the infrastructure roadmap with a strong focus on compliance, privacy, and security standards, including designing change management and data isolation strategies., • Own the development and maintenance of our best-in-class Agentic observability platform (logging, metrics, tracing, and analytics) to proactively ensure system health and enable rapid incident response., • Drive developer efficiency by building automated tooling and championing Infrastructure-as-Code (IaC) paradigms throughout the engineering organization to improve workflows and operational efficiency. What We're Looking For: • Proven experience in a senior role, with 5+ years of full-time software engineering experience., • Deep understanding of modern infrastructure practices, including CI/CD, IaC (e.g., Terraform, Helm Charts), container orchestration (e.g., Kubernetes) and observability platforms (e.g., Datadog, Prometheus, Grafana)., • Extensive experience with at least one major cloud provider (AWS, Azure, or GCP)., • Strong knowledge of security and compliance in enterprise environments, with a focus on access management, data isolation, and customer-specific VPC setups., • Proficiency in Python or JavaScript/TypeScript, and SQL., • Bonus points: Hands-on experience and a passion for working with Agents, LLMs, vector databases, and other emerging AI technologies. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$252,000—$315,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's _ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our _ for additional information.

_ Job Type Full-time Description Vector Solutions is the leader in providing industry-focused SaaS solutions that connect content and technology. Vector's unique product set aims at training and learning management, continuing education (CE), compliance, workforce scheduling, safety management, and more. Our mission is to empower everyday heroes in the public, educational, and commercial sectors to make safer, smarter, and better decisions. Vector Solutions is looking for a Senior Analyst of GtM Operations to join our Revenue Strategy & Operations team. In this role, you will be a core member of the Revenue Leadership team, reporting to the Senior Director of GTM Strategy & Operations. You'll be responsible for supporting the design and execution of Vector's go-to-market strategy, including annual sales planning, territory management, quota and compensation design, pricing, and deal desk operations. This is a high-ownership individual contributor role with no direct reports at this time. This person will partner cross-functionally with the CRO, CFO, and other senior leaders to align business strategy with operational execution. The ideal candidate will thrive in fast-paced, high-growth environments and be passionate about data-driven problem-solving. What You'll Do Territory, Coverage, and Account Governance: • Own/support account assignment and territory design processes across sales and post-sale functions, • Execute strategic analyses to validate and inform the Vector go-to-market strategy, including territory planning and optimization as well as channel and market segmentation Pricing, Deal Desk, and Commercial Governance: • Collaborate with Sector teams to optimize existing pricing structure and define packaging and pricing for new offerings., • Support pricing and deal governance: discount guardrails, approval flows, etc. Forecast, Performance & Insights: • Own board-level bookings and revenue forecasting and build repeatable views on performance (bookings, renewals, productivity, capacity), • Own weekly/monthly/quarterly performance and KPI reporting that provides action-oriented insights for executive leadership and cross-functional partners, • Translate data into clear recommendations and present findings to senior leadership to drive decision-making., • Collaborate as needed with other sales & revenue strategy team members on ad hoc reports, analyses, and projects. Sales and Pre and Post-sales Compensation Design: • Support annual and in-year compensation & incentive design, • Support sales and pre/post sales compensation plan documentation hygiene, crediting rules, exceptions governance, and policy inputs (new hire/ramp, leave treatments, proration rules, close process). Requirements, • BA/BS degree in a business field preferred, or equivalent professional experience, • 4+ years of relevant professional experience in investment banking, management consulting, FP&A, analytics, reporting, and/or revenue strategy/operations, • Demonstrated ability to work with large data sets, build complex driver-based models, and translate quantitative analysis into clear business insights and strategic recommendations. Power user of Excel or Google Sheets; Salesforce CRM required. SQL, Python, or Access experience a plus. Familiarity with BI platforms, including CRM Analytics, preferred. Excellent analytical, problem-solving, and implementation skills, • Thrive in a fast-paced, changing and complex environment, • Outstanding written and verbal communication skills, • A self-starter who is highly accountable, proactive, and capable of managing multiple priorities simultaneously while consistently delivering high-quality work. What You Can Expect From Us: • Friendly, open, and casual work environment, • Comprehensive benefits package effective the first of the month after hire, • Matching 401(k) retirement plan, • Healthy work-life balance with flexible work arrangements and generous time off, • Generous referral incentive program, • Tuition Reimbursement Program, • Pet Insurance, • OnePass Gym/Wellness Discount Program, • Calm Health-Employee Membership, • Company social events, • Employee Resource Groups, • Philanthropic opportunities What We Value • Teamwork - Above all, we're a team. We give and value feedback. We support each other, respect each other and work together to accomplish our common goals and serve our customers. Once we make decisions, we align behind them as a team., • Customers First - Our customers' success is our success. They are why we are here. We work to earn the trust of our customers and always deliver on our commitments., • Make a Difference - It's not a job, it's a calling. We have passion for our mission, for our customers, for our work, and for sharing a fulfilling experience with our fellow team members., • Inclusiveness - Uniqueness is powerful. We support an environment of respect, belonging, and community that promotes a variety of perspectives and crucial conversations, leading to better outcomes., • Act Now - We act with urgency. The best time to get something important done is now. We don't wait and let perfection be the enemy of good., • Curiosity - We love a good challenge. We're scrappy, we stretch ourselves to be the best, ask questions, learn from our mistakes, and are dedicated to continually improving and growing., • Ownership - We own the outcome and don't pass the buck. The score matters. We hold ourselves and each other accountable. We treat company resources like they are our own. Salary Range: 90,000-115,000 Vector Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to sex, gender, race, color, religion, national origin, age, pregnancy, disability, genetic information, or status as a protected veteran. Compensation Disclaimer: The base salary range provided is a good-faith estimate at the time of posting. Actual pay may vary based on factors such as skills, qualifications, experience, and work location. Compensation will always comply with applicable state and local pay laws, including but not limited to those in California, Colorado, New York, and Washington. Salary Description 90-115K

At EisnerAmper, we look for individuals who welcome new ideas, encourage innovation, and are eager to make an impact. Whether you're starting out in your career or taking your next step as a seasoned professional, the EisnerAmper experience is one-of-a-kind. You can design a career you'll love from top to bottom - we give you the tools you need to succeed and the autonomy to reach your goals. EisnerAmper is seeking an AI Platform Architect who will serve as the technical backbone of EisnerAmper's AI transformation, owning the performance, reliability, and cost-efficiency of the EisnerAI Platform. This role is purpose-built to accelerate our journey to 1,000 deployed AI agents by designing and optimizing the infrastructure that powers every solution-from intelligent tax preparation to agentic audit workflows. The Platform Architect will benchmark and evaluate LLMs, codify AI and data governance into platform guardrails, build executive-grade reporting, and relentlessly drive cost and performance optimization across the entire AI stack. Reporting to the AI Development Lead, this is a high-impact, high-visibility role at the intersection of architecture, AI engineering, and strategic operations. A critical dimension of this position is mentoring and developing talent across organizational boundaries-partnering with IT infrastructure teams, the AI Advisory service line, and functional business units to build platform fluency and AI capability firmwide. You will get to be part of one of the largest and fastest growing accounting and advisory firms in the industry You will have the flexibility to manage your days in support of our commitment to work/life balance You will join a culture that has received multiple top "Places to Work" awards We believe that great work is accomplished when cultures, ideas and experiences come together to create innovative solutions We understand that embracing our differences is what unites us as a team and strengthens our foundation Showing up authentically is how we, both as professionals and a Firm, find inspiration to do our best work Architect and scale the EisnerAI Platform on Azure, designing core data, application, and agentic layers to support growth toward 1,000+ AI agents Codify AI governance policies (NIST AI RMF, PCAOB, Section 7216) into enforceable platform-level controls, automated compliance checks, and governance-as-code pipelines Serve as a technical mentor and cross-functional leader, elevating AI platform capabilities across IT, AI Advisory, and engineering teams Lead AI performance engineering across the firm's LLM ecosystem - benchmarking models (GPT-4o, o3, etc.) for accuracy, latency, cost, and quality to drive model selection and routing strategy Build and operate a real-time AI performance monitoring layer tracking hallucination rates, retrieval precision, adoption, cost-per-interaction, and ROI Optimize prompts, model configurations, and routing strategies to maximize output quality while reducing token consumption and overall platform cost Own AI cost management across Azure AI Foundry and related services, implementing intelligent model routing, caching, and token budgeting to continuously lower cost-per-agent Ensure all AI deployments meet regulatory, risk, and firm data governance standards prior to production Deliver executive and board-level dashboards translating AI performance, adoption, and cost metrics into clear business value narratives Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field 8+ years of experience in cloud platform architecture, infrastructure engineering, or AI/ML platform development 5+ years of hands-on experience with Microsoft Azure services (AI Foundry, Azure OpenAI, Cosmos DB, ADLS, Purview, AI Search) 3+ years of experience benchmarking, evaluating, and optimizing LLM-based systems in production environments Master's degree preferred (Computer Science, AI/ML, Cloud Architecture, or MBA with technical focus) Azure Solutions Architect Expert, Azure AI Engineer Associate, or equivalent certifications strongly preferred Data Platforms: ADLS Gen2, Cosmos DB, Azure SQL, Azure Synapse/Databricks for analytics and data engineering AI Search & RAG: Vector search, semantic ranking, knowledge mining, and retrieval pipeline optimization Governance & Compliance Tooling: Microsoft Purview, Azure Policy, data lineage, and audit logging frameworks Monitoring & Observability: Azure Monitor, Application Insights, Log Analytics, custom dashboards (Power BI, Grafana) Programming Languages: Python, C#, TypeScript, SQL, Bicep/Terraform DevOps & MLOps: Azure DevOps, GitHub Actions, Docker, Kubernetes, CI/CD pipeline design Cost Management: Azure Cost Management, FinOps practices, token-level cost tracking and optimization Proven track record of designing and implementing data governance frameworks and compliance controls at enterprise scale Experience managing cloud cost optimization initiatives with demonstrated savings outcomes Demonstrated experience mentoring technical and non-technical teams across organizational boundaries, including IT, advisory, or consulting functions Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa for this position now or in the future. EisnerAmper is proud to be a merit-based employer. We do not discriminate on the basis of veteran or disability status or any protected characteristics under federal, state, or local law. EisnerAmper is one of the largest accounting, tax, and business advisory firms, with approximately 450 partners and 4,500 employees across the world. We combine responsiveness with a long-range perspective; to help clients meet the pressing issues they face today and position them for success tomorrow. Our clients represent enterprises of every form, ranging from sophisticated financial institutions to startups, global public firms to middle-market companies, governmental entities as well as high-net-worth individuals, family offices, nonprofit organizations and entrepreneurial ventures across a variety of industries. We are also engaged by the attorneys, financial professionals, bankers, investors, and key stakeholders who serve these clients. Should you need any accommodations to complete this application please email:talentacquisition@eisneramper.com #LI-JK3 #LI-Hybrid Philadelphia

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. As a Senior Forward Deployed AI Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. • Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements, • Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows, • Deploy and configure AI models and agents within customer security and compliance boundaries, • Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation, • Architect multi-agent systems that orchestrate between different models, tools, and data sources, • Implement evaluation frameworks to measure agent performance and iterate toward business objectives, • Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement, • Create sophisticated prompt engineering strategies optimized for customer-specific domains and data, • Build and maintain prompt libraries, templates, and best practices for customer use cases, • Conduct systematic prompt experimentation and A/B testing to improve model outputs, • Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate, • Serve as the primary technical point of contact for strategic enterprise accounts, • Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration, • Provide technical training and knowledge transfer to customer teams, • Work closely with Scale's product and engineering teams to translate customer needs into product improvements, • Document technical architectures, integration patterns, and best practices, • Debug complex technical issues across the entire stack, from data pipelines to model outputs, • Rapidly prototype solutions to unblock customers and prove out new use cases, • Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems, • Identify opportunities for productization based on common customer patterns, • 5+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design, • Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API), • Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure, • Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions, • Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences Agent Development Wiz • Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures, • Experience building and deploying AI agents or autonomous systems in production, • Knowledge of vector databases and semantic search systems, • Contributions to open-source AI/ML projects Infrastructure Guru • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines, • Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools, • Previous work in a devops, platform, or infra role, • Familiarity with enterprise security, compliance, and governance requirements (SOC 2, GDPR, HIPAA) Customer Product Whisperer • Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role, • Domain expertise in verticals like finance, healthcare, government, or manufacturing, • Experience with technical enablement or teaching programs The following are some examples of the types of projects we've worked on with customers. All of these projects leverage customer data, integrate directly into customers' existing systems, and are deployed on their infrastructure. For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly. Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn. We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,000—$270,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's _ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our _ for additional information.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. As a Forward Deployed AI Engineering Manager on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, lead a team that architects specific AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a Management role that combines deep engineering and AI expertise, leading a team, and working on customer-facing problems. You'll work directly with customer engineering teams to integrate AI into their critical workflows. • Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements, • Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows, • Deploy and configure AI models and agents within customer security and compliance boundaries, • Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation, • Architect multi-agent systems that orchestrate between different models, tools, and data sources, • Implement evaluation frameworks to measure agent performance and iterate toward business objectives, • Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement, • Create sophisticated prompt engineering strategies optimized for customer-specific domains and data, • Build and maintain prompt libraries, templates, and best practices for customer use cases, • Conduct systematic prompt experimentation and A/B testing to improve model outputs, • Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate, • Serve as the Engineering Manager and technical point of contact for strategic enterprise accounts, • Lead a team that is collaborating with customer data scientists, ML engineers, and software developers to ensure smooth integration, • Work closely with Scale's product and engineering teams to translate customer needs into product improvements, • Document technical architectures, integration patterns, and best practices, • Debug complex technical issues across the entire stack, from data pipelines to model outputs, • Rapidly prototype solutions to unblock customers and prove out new use cases, • Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems, • Identify opportunities for productization based on common customer patterns, • 5+ years of software engineering experience with 2+ yrs of Management experience with strong fundamentals in data structures, algorithms, and system design, • Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API), • Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure, • Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions, • Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences Agent Development Wiz • Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures, • Experience building and deploying AI agents or autonomous systems in production, • Knowledge of vector databases and semantic search systems, • Contributions to open-source AI/ML projects Infrastructure Guru • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines, • Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools, • Previous work in a devops, platform, or infra role, • Familiarity with enterprise security, compliance, and governance requirements (SOC 2, GDPR, HIPAA) Customer Product Whisperer • Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role, • Domain expertise in verticals like finance, healthcare, government, or manufacturing, • Experience with technical enablement or teaching programs The following are some examples of the types of projects we've worked on with customers. All of these projects leverage customer data, integrate directly into customers' existing systems, and are deployed on their infrastructure. For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly. Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn. We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,000—$270,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's _ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our _ for additional information.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. As a Staff Forward Deployed AI Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. • Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements, • Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows, • Deploy and configure AI models and agents within customer security and compliance boundaries, • Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation, • Architect multi-agent systems that orchestrate between different models, tools, and data sources, • Implement evaluation frameworks to measure agent performance and iterate toward business objectives, • Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement, • Create sophisticated prompt engineering strategies optimized for customer-specific domains and data, • Build and maintain prompt libraries, templates, and best practices for customer use cases, • Conduct systematic prompt experimentation and A/B testing to improve model outputs, • Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate, • Serve as the primary technical point of contact for strategic enterprise accounts, • Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration, • Provide technical training and knowledge transfer to customer teams, • Work closely with Scale's product and engineering teams to translate customer needs into product improvements, • Document technical architectures, integration patterns, and best practices, • Debug complex technical issues across the entire stack, from data pipelines to model outputs, • Rapidly prototype solutions to unblock customers and prove out new use cases, • Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems, • Identify opportunities for productization based on common customer patterns, • 8+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design, • Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API), • Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure, • Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions, • Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences Agent Development Wiz • Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures, • Experience building and deploying AI agents or autonomous systems in production, • Knowledge of vector databases and semantic search systems, • Contributions to open-source AI/ML projects Infrastructure Guru • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines, • Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools, • Previous work in a devops, platform, or infra role, • Familiarity with enterprise security, compliance, and governance requirements (SOC 2, GDPR, HIPAA) Customer Product Whisperer • Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role, • Domain expertise in verticals like finance, healthcare, government, or manufacturing, • Experience with technical enablement or teaching programs The following are some examples of the types of projects we've worked on with customers. All of these projects leverage customer data, integrate directly into customers' existing systems, and are deployed on their infrastructure. For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly. Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn. We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$252,000—$315,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's _ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our _ for additional information.

Company Shared Services Argo and Farm Family are specialty property and casualty insurance brands whose underwriting companies are wholly-owned subsidaries of Clearbrook Holdings Inc. Argo and Farm Family partner with agents and brokers to provide insurance solutions that enable businesses to manage risks with confidence. Job Description Senior Data Engineer AI-First Data Strategy for P&C Insurance Carrier Lead Innovation in Property & Casualty Insurance Data Solutions We are seeking a Senior Data Engineer to spearhead our transition to a modern, AI-first data strategy tailored to the unique demands of a property & casualty (P&C) insurance carrier. Lead the design and implementation of AI-powered data products and solutions that address business goals in underwriting, claims, risk management, and customer experience within the P&C insurance sector. Define, develop, and register curated, reusable data products for lines of business such as auto, home, agriculture, commercial, and specialty insurance, enabling rapid insights and novel analytics across teams. Collaborate with data analysts, data scientists, actuaries, underwriters, claims specialists, and business leaders to gather requirements and deliver scalable, secure, and reliable data solutions in compliance with insurance regulations. Establish best practices for data engineering specific to P&C insurance, ensuring adherence to engineering excellence, data quality, governance, and privacy standards. Mentor team members and foster a culture of innovation, continuous improvement, and cross-disciplinary collaboration. Bachelor's or Master's degree in Computer Science, Engineering, or related field. Extensive experience (5+ years) in data engineering, with proven expertise in technical development, data design, and implementation in the insurance industry, preferably within P&C. Solid understanding of property & casualty insurance operations, including actuarial science, claims processing, underwriting, and pricing landscape. Ability to multitask and manage competing priorities in a fast-paced, compliance-driven environment. Experience implementing AI-first strategies and working with modern data platforms (e.g., Snowflake; Databricks, big data, analytics) relevant to P&C insurance. Excellent communication and problem-solving skills, with the ability to translate complex business needs into actionable data solutions. Experience with cloud-based data architectures commonly used in the P&C insurance industry (e.g., Snowflake, AWS). Proficiency in Python, SQL, and industry-standard data engineering tools and frameworks. Focuses on researching, building, and fine-tuning models from scratch or using frameworks. Exposure with Generative AI, Large Language Models (LLMs), LangChain, and vector databases. Experience with other advanced analytics approaches in property & casualty insurance for AI-centric products. Knowledge of predictive modeling, telematics, geospatial analytics, and other advanced analytics applications in property & casualty insurance. Join us to redefine how data empowers property & casualty insurance, accelerating speed to insight and enabling next-generation analytics and solutions powered by AI. This is a 100%in-office position. Candidates must be able to work on-site at a designated company office during standard business hours. The base salary range provided below is for hires in those geographic areas only and will becommensuratewith candidate experience. Pay ranges for candidates in other locations may differ based on the cost oflaborin that location.In addition to base salary, this position is eligible for an annual bonus based on company and individual performance as well as a generous benefits package. NY Pay Range $113,000 - $160,000 PLEASE NOTE: Applicants must be legally authorized to work in the United States. At this time, we are not able to sponsor or assume sponsorship of employment visas. If you have a disability under the Americans with Disabilities Act or similar state or local law and you wish to discuss potential reasonable accommodations related to applying for employment with us, please contact our Benefits Department at 210-321-8400. Notice to Recruitment Agencies: Resumes submitted for this or any other position without prior authorization from Human Resources will be considered unsolicited. BWS and / or its affiliates will not be responsible for any fees associated with unsolicited submissions. We are an Equal Opportunity Employer. We do not discriminate on the basis of age, ancestry, color, gender, gender expression, gender identity, genetic information, marital status, national origin or citizenship (including language use restrictions), denial of family and medical care leave, disability (mental and physical) , including HIV and AIDS, medical condition (including cancer and genetic characteristics), race, religious creed (including religious dress and grooming practices), sex (including pregnancy, child birth, breastfeeding, and medical conditions related to pregnancy, child birth or breastfeeding), sexual orientation, military or veteran status, or other status protected by laws or regulations in the locations where we operate. We do not tolerate discrimination or harassment based on any of these characteristics. The collection of your personal information is subject to our_ Benefits and Compensation We offer a competitive compensation package, performance-based incentives, and a comprehensive benefits program-including health, dental, vision, 401(k) with company match, paid time off, and professional development opportunities.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. As a Forward Deployed AI Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. • Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements, • Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows, • Deploy and configure AI models and agents within customer security and compliance boundaries, • Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation, • Architect multi-agent systems that orchestrate between different models, tools, and data sources, • Implement evaluation frameworks to measure agent performance and iterate toward business objectives, • Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement, • Create sophisticated prompt engineering strategies optimized for customer-specific domains and data, • Build and maintain prompt libraries, templates, and best practices for customer use cases, • Conduct systematic prompt experimentation and A/B testing to improve model outputs, • Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate, • Serve as the primary technical point of contact for strategic enterprise accounts, • Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration, • Provide technical training and knowledge transfer to customer teams, • Work closely with Scale's product and engineering teams to translate customer needs into product improvements, • Document technical architectures, integration patterns, and best practices, • Debug complex technical issues across the entire stack, from data pipelines to model outputs, • Rapidly prototype solutions to unblock customers and prove out new use cases, • Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems, • Identify opportunities for productization based on common customer patterns, • 4+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design, • Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API), • Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure, • Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions, • Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences Agent Development Wiz • Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures, • Experience building and deploying AI agents or autonomous systems in production, • Knowledge of vector databases and semantic search systems, • Contributions to open-source AI/ML projects Infrastructure Guru • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines, • Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools, • Previous work in a devops, platform, or infra role, • Familiarity with enterprise security, compliance, and governance requirements (SOC 2, GDPR, HIPAA) Customer Product Whisperer • Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role, • Domain expertise in verticals like finance, healthcare, government, or manufacturing, • Experience with technical enablement or teaching programs The following are some examples of the types of projects we've worked on with customers. All of these projects leverage customer data, integrate directly into customers' existing systems, and are deployed on their infrastructure. For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly. Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn. We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$180,000—$225,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's _ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our _ for additional information.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. As a Senior Staff Forward Deployed AI Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. • Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements, • Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows, • Deploy and configure AI models and agents within customer security and compliance boundaries, • Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation, • Architect multi-agent systems that orchestrate between different models, tools, and data sources, • Implement evaluation frameworks to measure agent performance and iterate toward business objectives, • Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement, • Create sophisticated prompt engineering strategies optimized for customer-specific domains and data, • Build and maintain prompt libraries, templates, and best practices for customer use cases, • Conduct systematic prompt experimentation and A/B testing to improve model outputs, • Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate, • Serve as the primary technical point of contact for strategic enterprise accounts, • Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration, • Provide technical training and knowledge transfer to customer teams, • Work closely with Scale's product and engineering teams to translate customer needs into product improvements, • Document technical architectures, integration patterns, and best practices, • Debug complex technical issues across the entire stack, from data pipelines to model outputs, • Rapidly prototype solutions to unblock customers and prove out new use cases, • Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems, • Identify opportunities for productization based on common customer patterns, • 12+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design, • Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API), • Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure, • Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions, • Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences Agent Development Wiz • Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures, • Experience building and deploying AI agents or autonomous systems in production, • Knowledge of vector databases and semantic search systems, • Contributions to open-source AI/ML projects Infrastructure Guru • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines, • Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools, • Previous work in a devops, platform, or infra role, • Familiarity with enterprise security, compliance, and governance requirements (SOC 2, GDPR, HIPAA) Customer Product Whisperer • Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role, • Domain expertise in verticals like finance, healthcare, government, or manufacturing, • Experience with technical enablement or teaching programs The following are some examples of the types of projects we've worked on with customers. All of these projects leverage customer data, integrate directly into customers' existing systems, and are deployed on their infrastructure. For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly. Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn. We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$288,000—$360,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's _ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our _ for additional information.

You want more out of a career. A place to share your ideas freely - even if they're daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love - driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together - lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What you'll be doing... The Director of AI/ML Engineering oversees the critical bridge between experimental AI science and highly scalable, production-grade systems with a heavy emphasis on Large Language Models (LLMs) and enterprise-level Generative AI applications. This leader will manage high-impact initiatives and a team of top-tier talent to deploy transformative AI solutions that optimize operational efficiency, lower cost barriers, and elevate both customer and employee experiences across VBG. This role requires far more than technical stewardship; it demands a cultural change agent who naturally thinks outside the box and inherently operates with an innovation-first mindset with a goal of "getting things done". The successful candidate does not accept processes just because "that's how they've always been done." You must be willing to constructively challenge legacy tech debt, comfortable questioning traditional software development lifecycles that slow down deployment, and ready to disrupt established boundaries to unlock true AI capabilities. Instead of simply retrofitting AI into existing, outdated systems, you will champion an AI-native approach to engineering and operations. This means pioneering entirely new ways of working by shifting teams from manual coding paradigms to agent-assisted development and replacing heavy, multi-turn human procedural bottlenecks with zero-shot or one-shot autonomous agent actions. It also requires transforming rigid, deterministic software gates into fluid, probabilistic AI-driven logic, while seamlessly infusing rapid experimentation, continuous testing, and failure-tolerant prototyping into the daily DNA of the engineering organization. Key Responsibilities: AI Industrialization & Scaling: Lead the deployment, operationalization, and maintenance of high-availability AI services; architect robust, reliable AI/ML pipelines capable of handling millions of concurrent requests. Compute & Latency Management: Balance high-performance compute costs against the business value generated by models, ensuring systems satisfy the strict latency and scaling requirements of a global enterprise. Modern MLOps Foundations: Establish rigorous engineering standards around MLOps, software SDKs, containerization, instrumentation, and distributed infrastructure to safely move experimental lab models into high-volume production. Ethical AI & Compliance: Institutionalize strict standards for responsible AI, including safety, bias mitigation, data privacy, and compliance guardrails across all automated platforms Advanced Architectural Design: Direct the end-to-end development, evaluation, and lifecycle management of enterprise GenAI platforms and application frameworks. Adaptive Model Routing: Move the organization from monolithic model structures toward adaptive, specialized clusters by pioneering frameworks like Mixture of Experts (MoE) and multi-tasking systems that dynamically route queries based on domain expertise. Ecosystem Evaluation: Autonomously evaluate evolving open-source and proprietary LLM frameworks, selecting optimal technologies, API design patterns, and orchestration engines while protecting enterprise data privacy. Digital Twin and Predictive Systems Oversee operational digital twins and simulation frameworks to model workflows, stress-test pre-production GenAI models and tools, and utilize predictive insights to transition enterprise systems from static decision support into autonomous, self-learning networks. People leadership & talent development : Build, manage, and scale a highly technical, talent-dense organization of senior AI Scientists, Machine Learning Engineers, and automation developers. Culture of Excellence: Foster a progressive engineering environment dedicated to continuous testing, rapid prototyping, and staying abreast of state-of-the-art academic and industry AI research. Engineering Architecture: Holds autonomy over the selection of core ML frameworks, toolchains, API platforms, and the prioritization of the AI/ML Engineering backlog. Build vs. Buy Strategy: Owns the definitive recommendation and roadmap for multi-million dollar technology investments-including fine-tuning internal proprietary solutions versus integrating external vendor ecosystems. What we're looking for... You'll need to have: Bachelor's degree or four or more years of work experience. Ten or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training. Ten or more years of experience in AI/ML Engineering, Software Engineering, or AI Science environments. Six or more years of progressive technical people leadership experience (Director or high-level Manager) directing multi-disciplinary teams of data scientists and engineering specialists. Generative AI experience including technical fluency across the modern ML stack, with knowledge of LLMs, agentic orchestration, prompt engineering, vector databases, and multi-agent systems. Even better if you have one or more of the following: Scale and Deployment Track Record. Proven success building and scaling AI industrialization frameworks, modern MLOps pipelines, distributed training methodologies, and detailed simulation or digital twin networks. Change Management and Influence experience. A clear history of introducing alternative, highly productive methodologies to a traditional enterprise environment. Exceptional communication skills with a proven history of collaborating directly with VP and C-suite leaders to fund, execute, and scale disruptive technological solutions. If Verizon and this role sound like a fit for you, we encourage you to apply even if you don't meet every "even better" qualification listed above. In this hybrid role, you'll have a defined work location that includes working from home and a minimum of three days per week in the office, which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies. 40 Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics. Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance. We also offer a matched 401(k) savings plan, up to 8 company paid holidays per year and up to 6 personal days per year, paid parental leave, adoption assistance and tuition assistance, plus other incentives, we've got you covered with our award-winning total rewards package. Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc. Newly hired employees receive up to 15 days of vacation per year, which grows with additional service. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances. The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part-time roles, your compensation will be adjusted to reflect your hours. The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $143,500.00 - $275,000.00. The annual salary range for the New York location(s) listed on this job requisition based on a full-time schedule is: $157,500.00 - $275,000.00.

_ is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance. The world's leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku , , , and . As a Generative AI Engineer on the ED&A team, you will build the agentic AI systems that change how Dataiku runs internally. The role is hands-on and end-to-end: you'll work close to the business, turn real problems into working software, and see your solutions through from first conversation to production. This position can be based in our New York office or remotely within the Eastern Time Zone. Design end-to-end AI solutions on Dataiku's platform, leveraging Dataiku Agent Hub, Prompt Studio, LLM Mesh, and Knowledge Banks (Vector Stores), or Python-based frameworks where needed. Build and orchestrate multi-agent systems using Dataiku's Visual Agents (simple and structured), as well as code-based frameworks (LangGraph, CrewAI, Claude Agent SDK, OpenAI Agents SDK) as appropriate. Integrate and optimize LLM APIs across providers (OpenAI, Anthropic, Google Gemini, AWS Bedrock, Azure, open-source models via Dataiku's LLM Mesh), applying model routing strategies to balance cost, latency, and quality. Implement Retrieval-Augmented Generation (RAG) pipelines, including agentic RAG and GraphRAG, using Dataiku's Knowledge Banks with reranking, dynamic filtering, and document extraction capabilities. Work exclusively with the Marketing organisation, partnering across functions such as Demand Generation, Content Marketing, Product Marketing, Field Marketing, Marketing Operations, Brand, and Communications. Engage marketing stakeholders to gather business requirements, then go further: identify the underlying user or team pain points those requirements represent, and design solutions that address both the stated need and the deeper problem. Own projects end-to-end, from requirements intake and solution design through to build, deployment, and handover. Develop autonomous and semi-autonomous AI agents, using Dataiku's Agent Builder, custom Python-based architectures (LangGraph, CrewAI, Claude Agent SDK, etc.), or a combination of both. Exercise judgment on when to leverage platform capabilities and when to build custom solutions. Design and build Agent Tools beyond documented examples, including custom API integrations, data retrieval modules, decisioning logic, and automated workflows, pushing past out-of-the-box patterns to deliver solutions tailored to specific business problems. Build, publish, and consume MCP (Model Context Protocol) servers to enable agent-to-tool integration across systems, including designing custom MCP servers where needed. Develop evaluation and monitoring approaches for agent systems, combining Dataiku's built-in capabilities with custom instrumentation to measure reliability, accuracy, cost, and business impact in production. Design and maintain evaluation frameworks (evals) for LLM-based systems, measuring accuracy, latency, cost, and reliability in production. Adhere to data governance, security, and regulatory compliance requirements (EU AI Act awareness, responsible AI practices) for all AI solutions. Leverage Dataiku's Cost Guard and Quality Guard features to manage LLM spend, enforce usage policies, and maintain output quality standards. Work closely with analytics and data engineering teams to maintain metadata on reference datasets for LLM consumption. Create front-end user interfaces for AI applications using HTML, CSS, and JavaScript, within Dataiku's webapps framework, Dataiku Answers for chat-based interfaces, or standalone applications built with Vue.js and Node.js. Collaborate on UX design, ensuring internal stakeholders find AI solutions intuitive and responsive. Provide product feedback to the development team to improve the platform. Stay current with the rapidly evolving AI engineering landscape, agent frameworks, model capabilities, evaluation practices, governance requirements, and tools like MCP and A2A protocols. Must have strong Python skills (including familiarity with typical data science and AI engineering libraries). Must have hands-on experience building agentic AI systems, multi-agent orchestration, tool chaining, autonomous decision-making, and production deployment of AI agents. Experience with Go-to-Market motions, nomenclature, and technology, including Salesforce, HubSpot, 6sense, Gong, Outreach, and related tools. Experience with modern agent orchestration frameworks (LangGraph, CrewAI, Claude Agent SDK, OpenAI Agents SDK, or similar); familiarity with LangChain is still relevant but not sufficient on its own. Understanding of RAG architectures (vector databases, embedding strategies, agentic RAG, GraphRAG) and when to apply each approach. Familiarity with MCP (Model Context Protocol) for agent-to-tool integration, or demonstrated ability to quickly adopt new integration standards. Experience with structured outputs, function/tool calling, and prompt engineering across multiple LLM providers. Web development fundamentals (HTML, CSS, JavaScript); experience with Vue.js and Node.js preferred. Exposure to AI evaluation practices, building evals, monitoring model/agent performance in production, and iterating based on metrics. Comfort with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code, or similar). Familiarity with Dataiku a bonus. Strong communication and presentation skills, capable of collaborating effectively with both technical and non-technical stakeholders. Problem-solving mindset with a passion for innovation and delivering measurable business value. Openness to learning new tools (e.g., Dataiku) and adapting to a rapidly evolving AI landscape. Compensation and Benefits The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program. Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time. US only national base pay ranges$160,000—$240,000 USD What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you'd like to learn even more about working here, you can visit our . Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer.All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity_

At EisnerAmper, we look for individuals who welcome new ideas, encourage innovation, and are eager to make an impact. Whether you're starting out in your career or taking your next step as a seasoned professional, the EisnerAmper experience is one-of-a-kind. You can design a career you'll love from top to bottom - we give you the tools you need to succeed and the autonomy to reach your goals. EisnerAmper is seeking multiple AI Solution Architects who will serve as lead developers on the EisnerAI Platform, designing and implementing the technical architecture that powers EisnerAmper's intelligent solutions across tax, audit, outsourcing and advisory services. This role is essential to delivering the comprehensive AI platform that will transform how we serve clients and enable our vision of becoming the industry-leading AI-powered professional services firm. You will get to be part of one of the largest and fastest growing accounting and advisory firms in the industry You will have the flexibility to manage your days in support of our commitment to work/life balance You will join a culture that has received multiple top "Places to Work" awards We believe that great work is accomplished when cultures, ideas and experiences come together to create innovative solutions We understand that embracing our differences is what unites us as a team and strengthens our foundation Showing up authentically is how we, both as professionals and a Firm, find inspiration to do our best work Ensure seamless integration across the platform's Data Management, Governance, AI, Agents and Application layers. Drive model evaluation frameworks and post-training optimization for custom LLMs and AI agents Lead technical development of the EisnerAI Agent Workforce such as TaxPrepBot, ComplianceRiskBot, DocIntake, and M&A Targeting Bot Design agentic frameworks supporting initiation, execution, state management, logging, and error handling Ensure adherence to data governance policies and responsible AI practices Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field 6+ years of software development experience with 4+ years in AI/ML architecture role 3+ years of hands-on experience with Azure cloud services and enterprise-scale solutions Master's degree preferred (Computer Science, AI/ML, or MBA with technical focus) Microsoft Azure AI Foundry: Deep expertise in Azure AI services ecosystem Azure Machine Learning: MLOps, model deployment, and lifecycle management Azure OpenAI Service: GPT models, prompt engineering, and fine-tuning Azure Cognitive Services: Document Intelligence, Language Understanding, and Computer Vision Azure AI Search: Vector search, semantic search, and knowledge mining Azure Databricks: Data engineering and ML model development Programming Languages: Python, C#, JavaScript/TypeScript, SQL AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Transformers Vector Databases: Azure Cosmos DB, Pinecone, or Weaviate DevOps & MLOps: Azure DevOps, GitHub Actions, Docker, Kubernetes Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa for this position now or in the future. EisnerAmper is one of the largest accounting, tax, and business advisory firms, with approximately 450 partners and 4,500 employees across the world. We combine responsiveness with a long-range perspective; to help clients meet the pressing issues they face today and position them for success tomorrow. Our clients represent enterprises of every form, ranging from sophisticated financial institutions to startups, global public firms to middle-market companies, governmental entities as well as high-net-worth individuals, family offices, nonprofit organizations and entrepreneurial ventures across a variety of industries. We are also engaged by the attorneys, financial professionals, bankers, investors, and key stakeholders who serve these clients. Should you need any accommodations to complete this application please email:talentacquisition@eisneramper.com #LI-JR1 #LI-Hybrid #LI-Remote Iselin

Job DescriptionWhat We Do Gecko Robotics is helping the world’s most important organizations ensure the availability, reliability, and sustainability of critical infrastructure. Gecko's complete and connected solutions combine wall-climbing robots, industry-leading sensors, and an AI-powered data platform to provide customers with a unique window into the current and future health of their physical assets. This enables real-time decision making to increase the efficiency and safety of operations, promote mission readiness, and protect the environment and civilization from the effects of infrastructure failure. Role at a Glance Gecko is building the unified knowledge system industrial facilities have always lacked: a continuously evolving facility context graph that connects every dimension of asset intelligence. At the center of this system is Rolodex, our central data platform and the flexible technical backbone powering the company. As part of the Software Platform team, your mission is to accelerate how Gecko ships world-class products by advancing our foundational cloud infrastructure. We’re looking for an ambitious engineer to lead the next evolution of Rolodex, expanding its architecture and capabilities to support Gecko’s growing data needs. In this role, you’ll shape the future of a core platform that streamlines infrastructure, reduces operational risk, and enables product and pipeline teams to build and ship faster on top of a robust, scalable context graph. What you will do Drive the Rearchitecture: Lead Rolodex's evolution. Rebuild it for the scale of our context graph, preserving its centralized flexibility while unlocking the full performance of underlying storage technologies (time series, vector, etc.). Empower the Graph & Elevate DevEx: Deliver clear ontologies, predictable APIs, and core tooling (SDKs, local dev) that unlock AI agent workflows and eliminate bespoke integrations. Secure the Foundation: Own the evolution of our centralized permissioning system, transforming a robust security model into an intuitive, frictionless experience for developers. Optimize Data Performance: Design and optimize query abstractions (indexing, SQL/GraphQL) and smart routing for heavy workloads. Build Shared Platforms: Establish productized patterns for cross-cutting data needs like schemas, data modeling, chunked uploads, and pipelines. Automate Cloud Infrastructure: Share ownership of Gecko's Cloud footprint. Write Terraform, build self-serve tooling, and systematically eliminate engineering toil through automation. Technologies We Use Backend: Python Frontend: React, TypeScript Cloud Infrastructure: Google Cloud Platform (GCP) Infrastructure as Code: Terraform Developer Tooling: Agentic coding workflows and AI-assisted development tools We use a broad and evolving technology stack, and this list is not exhaustive. We’re tech agnostic in our interview process and encourage candidates from all backgrounds to apply. About You Required Skills 5+ years of hands-on software development experience in a production environment Expertise in writing clean, maintainable code, with a focus on backend infrastructure, databases, or developer tooling Experience designing secure, user-friendly APIs that enable intuitive data interaction Exceptional communication skills and a passion for Developer Experience (DevEx); you care deeply about how other engineers use the systems you build Ability to own and execute long-lived technical projects, coordinating across teams and contributing to critical architectural decisions Open-mindedness, intellectual curiosity, and strong problem-solving skills Excited to dive into new technologies and embrace strong DevOps practices, treating operational resilience and automation as core engineering challenges High self-motivation and a passion for self-directed learning Bachelor’s degree in Computer Science or a closely related field (or equivalent practical experience) Preferred Skills Real-world experience building, maintaining, or scaling central datastores, knowledge graphs, or shared data platforms Experience with Infrastructure as Code (e.g., Terraform) and managing cloud deployments in GCP or AWS Familiarity with complex authorization and permissioning systems Strong judgment around data modeling, storage formats, access patterns, and developer ergonomics Understanding of data pipelines and data processing infrastructure Who We Are At Gecko, our people are our greatest investment. In addition to competitive compensation packages, we offer company equity, 401(k) matching, gender-neutral parental leave, full medical, dental, and vision insurance, mental health, ongoing professional development, family planning assistance, and flexible paid time off. Gecko values collaboration, innovation, and partnership, and we believe we do our best work when we're together in person. We’re an office-first culture but understand that sometimes you may need to work from home. Many people are in the office five days a week, others need a bit more flexibility. Ultimately, we care about the outcomes we achieve - and creating a culture of autonomy and trust that enables that impact. Gecko is committed to creating a culture of inclusion and belonging, and we are proud to be an equal opportunity employer. We believe it is our collective responsibility to uphold these values and encourage candidates from all backgrounds to join us in our mission to protect today’s infrastructure and give form to tomorrow’s. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, veteran status, age, or any other protected characteristic per federal, state, or local law. If you are passionate about what you do and want to use your talents to support our critical mission, we’d love to hear from you. Compensation Range: $200K - $250K

Job DescriptionWhy Choose Us? Novolex is a leading manufacturer of food, beverage, and specialty packaging that supports multiple industries including foodservice, restaurant delivery and carryout, food processing, grocery and retail, and industrial sectors. Novolex manufacturing and sourcing expertise spans a diverse range of substrates including resin, paper, molded fiber, aluminum and more. We provide customers a broad array of stock and customized solutions with 120 product categories, 250 brands and over 39,000 SKUs. Our Sustainability Commitment The Novolex sustainability vision is built upon three pillars: our products, our operations and our people. Each is critically important to our growth and future as a business. These pillars form the foundation of our company-wide commitment to sustainability, helping us achieve our ambitious goals through our wide-ranging initiatives. Job Description This position provides support for the reliability of all automation and control systems throughout the facility. The individual will work closely with all plant personnel to perform tests, diagnostics, repairs, improvements and upgrades to all equipment, instrumentation, process and procedures. Responsibilities: ● Drive a zero EHS incident culture, support and participate in incident investigations to determine root cause and identify preventive actions, correct unsafe conditions and acts immediately, and use every incident or near miss as a teaching moment for others ● Monitor, adjust, calibrate and repair manufacturing equipment, instruments, fixtures, etc. ● Conduct in-depth PLC, HMI, motor and drive troubleshooting and provide effective solutions – Allen Bradley required with at least one other manufacturer (i.e. Mitsubishi, Schneider, GE, Opto 22, etc.) ● Read and modify PLC ladder diagrams ● Perform electrical and electronic installations and modifications including drives and programming controllers ● Working knowledge of AC vector and servo drive technology. ● Understand in-depth electric circuitry, electronics and electromechanical concepts - AC and DC, Sinking / Sourcing, Analog, etc. ● Troubleshoot and maintain Fanuc robotic automation. (Palletizers, Case erectors, Pick and Place) ● Basic understanding of hydraulics, pneumatics and mechanical concepts ● Basic understanding of PC components ● Interpret all levels of drawings, wiring diagrams, schematics, specifications, etc. Knowledge of CAD system (i.e. AutoCAD, Vizio, etc.) ● Stay up to date with the latest state-of-the-art automation and control techniques ● Utilize problem solving techniques including PDCA to solve problems to root cause, implement actions that prevent reoccurrence, improve operations, etc. ● Supply higher level technical assistance to plant shift electrician team ● Provide training to all levels of the organization ● Ability to supervise contractors to minimize scheduled and unscheduled downtimes ● Maintain and manage the engineering department technical procedures, manuals and drawings, including records of as-built equipment and process changes ● Occasional need to work flexible hours. May include weekend and/or holiday work, subject to call-ins Qualifications: ● High school graduate or equivalent required ● Apprenticeship or equivalent training ● Associate’s degree in maintenance or industrial technology preferred ● Minimum five years of industrial maintenance experience with extensive automation and controls work ● Proficient in computer applications including Microsoft applications, Outlook, SAP, etc. ● Knowledge OSHA Electrical Standards, National Electric Code (NEC) ● Strong troubleshooting skills and logic to solve problems to root cause ● Proactive and self-motivated to work effectively with minimal supervision ● Good written and verbal communication skills ● Ability to make decisions under time constraints and tight deadlines ● Able to interact with other associates in a team-oriented environment A reasonable estimate of the current range is $59,500/yr. - $99,100/yr. + bonus + benefits. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by job-related skills, experience, and relevant education or training. At Novolex, it is not typical for an individual to be hired at the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. The benefits for this role include 401(k) plan with company match, comprehensive medical, dental, and vision insurance, flexible spending and health savings accounts, paid vacation and sick days, paid parental leave, paid holidays and wellness program. What You'll Get From UsBenefits With safety as our top priority and a commitment to employee well-being an important focus, we offer comprehensive and competitive benefits that include medical, dental and vision insurance as well as a variety of other well-being resources focused on mental, physical and financial health. Specific benefits and well-being programs may vary depending on where you work. Community Engagement At Novolex, giving back to the local communities that support us is important. Our Focused Giving Program prioritizes support for organizations whose missions promote sustainability initiatives or address food and hunger needs. We also encourage facility level support of activities in the communities where our employees live and work. Training and Development We offer constant opportunities for advancement. From skills development to advanced education programs, training and development programs and courses are available through MyLearning. Programs include company and industry training curricula, support for formal education through the Tuition Reimbursement Program (Non-Union), and a Learning Management System that supports and enhances employee skills at all levels of the organization. Novolex is committed to providing equal employment opportunity in all employment practices, including but not limited to selection, hiring, promotion, transfer, and compensation to all qualified applicants and employees without regard to age, race, color, national origin, sex, pregnancy, sexual orientation, gender identity, religion, handicap or disability, genetics, citizenship status, service member or veteran status, or any other category protected by federal, state, or local law. Any individual who, because of his or her disability, needs an accommodation in connection with an aspect of the Company's application process should contact myHRservices@novolex.com. You should be proficient in: • Commercial Electrical Expertise, • Electrical Installation, • Electrical Troubleshooting, • Electrical Repair, • OSHA 10-Hour Certification (OSHA 10), • High Voltage Systems, • Pneumatics Troubleshooting, • Powerhouse Operation, • Industrial Electrical Experience Machines & technologies you'll use: • Packaging Machines, • Corrugated Press, • Extrusion Machine, • Programmable Logic Controller (PLC) (Allen Bradley, Mitsubishi, Schneider Electric, Fanuc)

Job DescriptionDescription: About the Guideline Guideline is a global provider of ad intelligence and media plan management technology, powering the strategy, planning, and management of advertising buying and selling for the world’s leading enterprises. Our solutions deliver the industry’s most comprehensive and timely insights, enabling publishers, agencies, brands, investors, and consulting firms to optimize media performance and drive superior business outcomes. Guideline’s proprietary spend and pricing data represents approximately $200 billion in annual media investment across 65 countries, providing the most complete and transparent view of the global advertising marketplace available today. In 2026 we are accelerating our investment in analytics and AI-powered solutions for the advertising and capital markets industries. Job Description The Software Developer, reporting to the Chief AI Systems Officer, will design, build, and operate production-grade AI agents that automate workflows across Guideline’s ad intelligence, media planning, and analytics products. This role owns the full agent lifecycle — from prompt and tool design, to orchestration with frameworks such as LangGraph and the Model Context Protocol (MCP), to evaluation, observability, and safe deployment at scale. This role sits at the intersection of managed agents and traditional backend software engineering. You will partner closely with product, data science, and security to ship agents that meet a high bar for accuracy, latency, cost, and reliability in a regulated, customer-facing environment processing $200B+ in annual media spend data. This role is hybrid and requires 2 days per week in our Toronto office. Key Responsibilities • Design and ship multi-step AI agents using modern orchestration frameworks (Claude, OpenAI Agents SDK, or equivalent), including prompt design, state management, tool calling, and human-in-the-loop control., • Build and maintain MCP servers and tool integrations connecting agents to internal services, data warehouses, and third-party APIs; define clean schemas, error handling, and least-privilege authorization scopes., • Implement retrieval-augmented generation (RAG) pipelines — ingestion, chunking, embedding, hybrid retrieval, reranking — grounded in Guideline’s proprietary spend, pricing, and media datasets., • Develop offline and online evaluations (LLM-as-judge, deterministic checks, golden sets, regression suites) that measure agent quality, tool-use correctness, task completion, latency, and cost before each release., • Instrument agents with end-to-end tracing and observability (e.g., OpenTelemetry, LangSmith, MLflow) and operate them in production: monitor drift, regressions, prompt-injection attempts, and hallucination rates., • Apply security and safety controls — input/output filtering, prompt-injection defenses, sandboxed tool execution, PII handling, data residency — in collaboration with Security and Compliance., • Optimize for cost and latency through model routing, caching, batching, and choosing the right level of agency — deterministic workflow vs. autonomous agent — for each problem., • Write production-quality Python with strong testing discipline; contribute to backend services, APIs, and CI/CD pipelines that host agent workloads., • Partner with product, data science, and design to translate ambiguous business problems into well-scoped agent specifications, success metrics, and rollout plans., • Stay current on the rapidly evolving agent ecosystem and bring back patterns the team should adopt — or reject — with a clear rationale. Benefits Guideline offers full-time employees a comprehensive benefits package based on location. Some benefits may include, but are not limited to: · Health, dental, life, and disability insurance · RRSP with company match · Paid time off and parental leave · Teledoc Health services · Employee recognition and referral bonuses Equal Opportunity Employer Guideline is an equal opportunity employer, committed to our diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability, or age. We strongly encourage women, people of color, members of the LGBTQIA community, people with disabilities, and veterans to apply. Requirements • 3+ years of professional software engineering experience shipping production systems, with at least 1 year focused on LLM-powered or agentic applications., • Strong Python skills, including async programming, type hints, testing, and clean API design. Comfort with Git-based development and modern CI/CD., • Hands-on experience with one or more agent frameworks (LangGraph, LangChain, OpenAI Agents SDK, Anthropic SDK, CrewAI, AutoGen, Pydantic AI) and provider APIs from at least one of OpenAI, Anthropic, or Google., • Practical experience with the Model Context Protocol (MCP) or equivalent tool-protocol patterns; ability to design clean tool interfaces and reason about authorization scopes., • Demonstrated experience building RAG systems, including vector stores (e.g., pgvector, Pinecone, Weaviate), embedding selection, hybrid search, and reranking., • Working knowledge of agent evaluation: designing evals, building golden sets, running LLM-as-judge, and interpreting results to make ship/no-ship decisions., • Familiarity with prompt engineering tradecraft and an empirical mindset — preferring measurement over intuition for agent behavior., • Solid grasp of cloud infrastructure (AWS, GCP, or Azure), containers (Docker), and at least one production runtime — Kubernetes, serverless, or comparable., • Understanding of LLM security and safety: prompt injection, data exfiltration, output validation, sandboxing, and least-privilege tool access., • Strong written and verbal communication; ability to write design docs, present trade-offs, and collaborate across product, data, and security functions. Preferred • Bachelor’s or Master’s in Computer Science, Engineering, or a related quantitative field — or equivalent practical experience., • Experience operating multi-agent or hierarchical agent systems (planner/executor, supervisor patterns)., • Background in advertising technology, media analytics, or financial/capital markets data., • Experience with fine-tuning, distillation, or open-weights model deployment (vLLM, TGI, llama.cpp)., • Open-source contributions to agent frameworks, MCP servers, or eval tooling. Requirements:

Job DescriptionCompany Description Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. Sia’s AI & Data Business Unit is the powerhouse of our firm’s innovation—merging cutting-edge Data Science, Generative AI, and advanced digital solutions to transform industries. With over 350 experts worldwide, we tackle projects from proof-of-concept to large-scale deployment, always pushing the boundaries of AI capabilities. Our 12 R&D labs in Europe and North America drive continuous research in areas like computer vision, MLOps, and deep learning, partnering closely with our business consultants for real-world impact. By joining Sia’s AI & Data team, you’ll step into a vibrant, collaborative environment that nurtures professional growth and empowers you to shape the future of AI-driven consulting. Job Description A AWM (Asset Wealth Management) Google AI Forward Deployed Engineer (FDE) at Sia is an embedded "builder-doer" who acts as a bridge between Google’s frontier AI products (Gemini, Vertex AI etc.) and real-world AI production systems in AWM. They work directly with large AWM customers to build, deploy, and ship custom Generative AI / Agentic AI applications, building prototypes and production-ready agents while troubleshooting technical integration challenges. Core Responsibilities • Customer Embedding: Act as a technical partner on-site or directly with clients to drive AI adoption., • PoC / Pilot: Rapidly prototype to go from ideation to PoC / pilots, • Productionizing AI: Develop, debug, and deploy Generative AI applications (e.g., agentic workflows, RAG systems, MCP servers etc.) using Python., • Integration and Coding: Architect solutions that connect Google's AI products with customer legacy infrastructure, APIs, and databases., • High-Impact Troubleshooting: Solve complex blockers to production, including data readiness, model latency, and system evaluation.Qualifications, • Experience: 7+ years in a technical, customer-facing role (e.g., FDE, Solutions Engineer, SRE, Software Engineer)., • Technical Expertise: Strong proficiency in Python and experience with LLM orchestration frameworks (e.g., LangChain, LangGraph)., • AI Knowledge: Experience with API development, vector databases, and Retrieval-Augmented Generation (RAG). Experience with Google Gemini Enterprise Platform and Google data services (e.g. Big Query etc.), • Data platform knowledge: Experience with Databricks delta lake and other parts of the data bricks data stack, • Agent Building: Experience with Agent building technologies (e.g. ADK, A2A, MCP etc). Experience with Agent Ontologies and memory management, • WAM: 5+ years of Wealth / Asset Management experience, • Problem Solving: High agency, ability to operate under ambiguity, and a "product" mindset Preferred Qualifications • Experience with Google Cloud products., • Experience implementing multi-agent systems and advanced prompt engineering. Additional Information Compensation & Benefits We believe in supporting our team professionally and personally. Here’s a snapshot of the comprehensive benefits you’ll enjoy as part of Sia. Competitive Compensation • Annual Base Salary Range: $135,000 - $147,000, commensurate with experience and qualifications, • Annual performance based discretionary bonus Robust Health Coverage • 3 Medical plans, • Dental and Vision, • Life, AD&D and other voluntary insurance Tax-Advantaged Accounts • 401K retirement plan, • 4% matching and 100% vested upon enrollment, • Health Savings Account (HSA), • Flexible Spending Account (FSA), • Health, Dependent Care, Commuter Family Friendly Benefits • 100% paid parental leave for all new parents with eligible tenure, • Building Healthy Families program if enrolled through Medical plan Time Off to Recharge • Generous Paid Time Off (PTO) policy, • 9 company holidays plus 1 floating holiday Extras that Make Life Easier • College savings and student loan repayment assistance, • Monthly cell phone stipend, • Access to wellness programs at no cost if enrolled through Medical plan, including:, • Gym membership reimbursement, • LiveHealth Online virtual care, • Personalized support from a Well-being Coach, • Employee Assistance Program at no cost, • Free confidential counseling and emotional support services, • On-demand access to Emotional Well-being resources (ranging from relaxation techniques to stress management) Diversity, Equity, Inclusion & Belonging At Sia, we believe in fostering a diverse, equitable and inclusive culture where our employees and partners are valued and thrive in a sense of belonging. We are committed to recruiting and developing a diverse network of employees and investing in their growth by providing unique opportunities for professional and cultural immersion. Our commitment toward inclusion motivates dynamic collaboration with our clients, building trust by creating an inclusive environment of curiosity and learning which affects lasting impact. Please visit our website for more information. Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs. Office Workplace Guidelines Sia is committed to providing a flexible workplace environment that supports client, business, and market needs. Consultants located in our primary market office locations—New York City, Charlotte, Seattle, and San Francisco—are expected to live within a reasonable commuting distance and attend the office at least three days or more per week. For Consultants outside of our primary markets, we can offer more flexible in-person requirements in accordance with your location. Work Authorization & Sponsorship At this time, Sia does not intend to employ any applicant who will require, either now or in the future, employment visa sponsorship or sponsorship for work authorization (i.e., H1-B visa, F-1/OPT) or STEM OPT, TN, etc). Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

Job Description Responsibilities: • Design, build, and deploy end‑to‑end agentic AI solutions, spanning frontend interfaces, backend services, and autonomous agent workflows., • Develop autonomous and semi‑autonomous agents capable of planning, task decomposition, tool selection, execution, and self‑correction., • Implement agent orchestration logic using modern agent frameworks, enabling multi‑step reasoning and coordinated agent behavior., • Design and maintain RAG pipelines, embeddings, vector databases, and memory/state management for contextual grounding., • Build secure and scalable backend APIs and services to support agent execution, tool calling, and workflow automation., • Develop user‑facing interfaces for agent interaction, monitoring, and feedback using modern web frameworks., • Integrate agents with enterprise systems and external tools via APIs, function calling, and workflow orchestration., • Deploy, monitor, and optimize agentic systems on cloud platforms, ensuring reliability, observability, performance, and cost efficiency., • Implement guardrails, evaluation, and monitoring to reduce hallucinations and ensure safe, predictable agent behavior., • Collaborate with cross‑functional and global teams to translate business problems into production‑ready agentic solutions., • Engage directly with stakeholders and clients, communicating agent capabilities, limitations, and solution outcomes clearly., • Continuously improve agent performance through experimentation, telemetry analysis, and iterative refinement Candidate Profile: • Bachelor's or Master's degree in Computer Science, AI, Engineering, Data Science, or equivalent hands‑on industry experience., • Proven experience delivering end‑to‑end agentic AI solutions, covering frontend, backend, and autonomous agent workflows., • Hands‑on expertise with agentic frameworks such as LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar., • Strong experience building autonomous or semi‑autonomous agents with planning, task decomposition, tool use, and self‑reflection., • Advanced prompt engineering skills for agent behavior, planning, constraints, and guardrails., • Practical experience with RAG pipelines, embeddings, vector databases, and agent memory/state management., • Ability to enable agents to take actions via APIs, function/tool calling, and workflow orchestration., • Strong backend development skills (Python/Java) and API‑driven system design., • Frontend experience using modern web frameworks (e.g., React, Angular) for agent interaction and monitoring., • Experience deploying agentic systems on cloud platforms (Azure, AWS, or GCP) with CI/CD, observability, and cost awareness., • Proficiency working with structured and unstructured data, including ingestion and retrieval optimization., • Experience integrating AI solutions into enterprise environments with security and access controls., • Strong client‑facing, communication, and problem‑solving skills., • Comfortable working in fast‑paced, evolving AI environments and global, cross‑functional teams.

Job DescriptionCompany Description EBG powers a proprietary suite of e-commerce platforms and technology solutions to deliver exclusive deals and special offers from the world's top brands and experiences. Specializing in live entertainment, travel, retail products and services, EBG operates a network of employee and membership-based marketplaces with a reach exceeding 100 million users. EBG owns the nation’s most comprehensive employee savings program, serving over 40,000 corporate clients through its B2B2C platforms TicketsatWork, Plum Benefits, Working Advantage, and Beneplace and offers additional value through its loyalty program, FunLife Rewards. Undercover Tourist®, a prominent online travel site, is owned by EBG. Visit www.ebgsolutions.com to learn more about EBG and its commitment to connecting people to exceptional experiences. EBG is a b2b2c company headquartered in Miami (Aventura), with offices in New York, Orlando, and Austin. You must be commutable to one of EBG's locations to be considered for a hybrid role. Job Description The Email Developer will be responsible for the coding, creation, execution, scheduling, and analysis of all email programs across multiple platforms and brands. In this role, they will collaborate with internal business partners to execute and scale email campaigns that are critical to driving growth. They will maintain an ongoing awareness of trends and best practices of email design and coding principles. In addition, the email developer will work closely with all members of the Marketing and Product teams in multiple offices to ensure seamless execution. Responsibilities • Develop complex and customized HTML/CSS code, including the following:, • Ability to code complex email templates from scratch, modify/update existing templates, and troubleshoot existing email code as needed., • Provide technical guidance and expertise on how to make our emails more automated and personalized, through knowledge of advanced coding and scripting techniques., • Create custom email templates using HTML, CSS, and liquid scripting to create clean, responsive, modular code that can connect and utilize data sources, logic, and segmentation to populate dynamic offers within email campaigns, be it stand-alone campaigns or automated experiences/journeys., • Develop customer experiences/journey flows utilizing logic, rules, and segmentation criteria., • Code with “mobile-first” mindset and adheres industry best practices for email coding and development., • Manage end-to-end email production that supports our eCommerce business – including: coding, development, deployment, and analysis of email campaigns, utilizing a major ESP (i.e., Zeta, Salesforce Marketing Cloud, etc.). This also includes, but is not limited to:, • Participating in the QA/QC process for all email campaigns, working with account managers, marketing leads, and developers to ensure all details, links, spelling, products, and content are correct., • Coordinating with cross-functional account managers on campaign assets, reviews and approvals., • Collaborating with merchandising and marketing teams on campaign calendars., • Leverage existing segments and create new custom segments for email deployment utilizing data within the email service provider/platforms. Partner with marketing & data analytics for additional custom segment creation that falls outside the scope of the ESP., • Use problem-solving skills to address and solve technical problems that arise as it relates to email campaigns and CRM projects., • Mentor others on coding standards and perform code reviews. Salary range : $85-95,000/ yr. plus bonus. Salary to be determined by multiple factors including but not limited to relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data. Qualifications • 5+ years of hands-on coding and email production experience within an enterprise level Marketing Automation platforms/Email Service Providers, such as Salesforce Marketing Cloud, Zeta Global, etc., ideally in a B2B/ DTC or other high volume email environment, • Advanced expertise coding in HTML, CSS, and liquid scripting (or AMPscripting) for use in a variety of custom marketing campaigns, • Advanced knowledge in dynamic personalization & audience segmentation, • Understands how to utilize ETL data files and data exchanges, such as JSON, APIs, within Marketing Automation Platforms/ESPs, • Experience with project management tools (JIRA) required, as well as strong project management skills, • Current on the latest email inbox changes, code standards, and industry standards, • Able to work proficiently in an independent and collaborative capacity, • Ability to manage multiple deadline-oriented projects concurrently and thrive in a fast-paced environment, • Excellent verbal and written skills, with proven ability to communicate complex ideas clearly and concisely, • Technical/mathematical aptitude; excellent Excel skills, • Knowledge of debugging techniques and usage of browser developer tools, • Experience in cross-device/browser/OS coding techniques for responsively designed emails, • Ability to use Microsoft applications (Word, PowerPoint, Excel & Outlook) effectively for business purposes. Strong Excel skills are required for this role., • Bachelor’s degree or equivalent combination of education and experience What Sets You Apart • Experience with any versioning control (Git, SVN, Gitlab, Github, Bitbucket, etc), • Exposure to other programming languages (TypeScript, Python, or Rust), • Experience with Figma or has worked directly with UX/UI teams, • Understanding of VML (Vector Markup Language), • Experience in retail, entertainment, sports and/or travel industry is preferred, • Experience using Adobe Analytics, Google Analytics, and other marketing automation platforms, • Understanding of CAN-SPAM and email best practices, • Previous experience as a Front End Developer Additional Information Entertainment Benefits Group offers outstanding employee benefits including: • Medical, Dental & Vision, • 401k Match, • Short Term Disability, Long Term Disability (Company Paid), • Company Paid Basic Life and AD&D, • Additional Voluntary Benefits, • Flexible Work Arrangements, • 3 Weeks of PTO + 5 Personal Days, • Paid Holiday Break from Christmas to New Year, • Paid Holidays, • Fitness Centers (location dependent), • Annual Day of Giving, • Share in the FUN! EBG gives $1000 per year in Tickets-At-Work gift cards to full-time employees to experience and enjoy the savings marketplace! Your information will be kept confidential in accordance with EEO guidelines. The statements contained herein reflect general details as necessary to describe the principal functions of this job, the level of knowledge and skill typically required, and the scope of responsibility, but should not be consider an all-inclusive listing of work requirements.

Job DescriptionAbout Invoca Invoca is an AI-powered revenue execution platform that brings together marketing, commerce, and contact center teams to turn every customer interaction into measurable, profitable growth. Join our dynamic, fast-growing team, where innovation and collaboration are at the core of our culture. About the Engineering Team You'll join a team where everyone, including you, is striving to constantly improve their knowledge of software development tools, practices, and processes. We are an incredibly supportive team. We swarm when problems arise and give excellent feedback to help each other grow. Working on our close-knit, multi-functional teams is a chance to share and grow your knowledge of different domains from databases to front ends to telephony and everything in between. We are passionate about many things: continuous improvement, working at a brisk but sustainable pace, writing resilient code, maintaining production reliability, paying down technical debt, hiring fantastic teammates; and we love to share these passions with each other. About the Role We are hiring a Staff AI Platform Engineer to help build the core platform that powers AI development at Invoca. This role is not focused on building isolated AI features or one-off model applications; this is a platform engineering role. You will design and build the reusable systems, abstractions, interfaces, and operating standards that enable product teams to develop, ship, and operate AI capabilities quickly and safely. You will work at the intersection of developer experience, backend systems, AI infrastructure, and platform architecture. Your job is to turn common AI development problems into durable platform capabilities: SDKs, APIs, gateways, orchestration primitives, evaluation frameworks, context-management tooling, and governance mechanisms that can be used broadly across teams. The right person for this role thinks in terms of platform as a product. You care not only about technical correctness, but also adoption, ergonomics, standardization, and long-term leverage. You know how to create opinionated golden paths that help teams move faster without sacrificing reliability, observability, or governance. What you'll have the opportunity to do: • Build the AI platform foundations: Design and maintain the core APIs, SDKs, libraries, and services that standardize how teams at Invoca build AI and agentic capabilities., • Create reusable agentic platform primitives: Build the platform components that product teams can assemble into real applications, such as orchestration building blocks, tool interfaces, workflow contracts, context-handling systems, and retrieval primitives., • Own platform-level evaluation infrastructure: Build the shared evaluation framework that enables teams to test AI systems consistently and at scale. This includes CI/CD integration, dataset and experiment workflows, scoring pipelines, and support for offline and online evaluation., • Standardize orchestration and interoperability: Help define the contracts, schemas, and interfaces that allow tools, runtimes, and services to work together cleanly. This includes platform patterns for MCP-style interoperability, tool discovery, and agent-to-agent or agent-to-system interactions., • Build for production scale and reliability: Design and improve the serving, routing, and control layers that sit between applications and model providers. You will help ensure low latency, high availability, cost efficiency, and strong production behavior.Drive observability and governance: Build and enforce the platform capabilities that make AI systems measurable, debuggable, and governable in production, including tracing, auditing, policy enforcement, and operational standards.Improve developer experience and platform adoption: Treat engineers and product teams as customers. Create tools, templates, documentation, and reference implementations that make the platform easy to adopt and hard to misuse., • Shape technical direction: As a staff engineer, you will influence architecture, standards, and long-term technical strategy for AI Platform. You will identify repeated patterns across teams and convert them into reusable platform solutions. As a Staff AI Platform Engineer, you will help define the technical foundation for AI development at Invoca. You will not be building isolated AI features; you will be creating the shared platform capabilities, standards, and operating model that enable many teams to build AI products quickly, safely, and consistently. You will: • Architect the AI platform foundations: Design and evolve the core libraries, SDKs, APIs, and shared services that standardize how teams build agentic and GenAI-powered products at Invoca., • Build reusable agentic and retrieval primitives: Create modular platform components for orchestration, retrieval, tool execution, workflow composition, adoption of latest protocols and standards, and A2A/MCP-compatible interoperability that product teams can use to build production-grade AI systems., • Own the evaluation platform: Build the shared evaluation infrastructure that enables teams to measure and improve AI quality through datasets, scoring pipelines, experiment workflows, and CI/CD-integrated offline and online evaluations., • Standardize context engineering: Develop the systems and tooling for prompt management, context versioning, templating, testing, and governance so teams can iterate safely and consistently on AI applications., • Engineer for scale, reliability, and governance: Build/Establish the serving, routing, and control layers between applications and model providers, ensuring strong production performance, cost efficiency, policy enforcement, and operational resilience., • Drive technical strategy and platform adoption: Partner with product and engineering leaders to turn recurring architectural needs into shared standards, reference implementations, and developer-friendly golden paths that accelerate delivery across the organization.Our Commitment to You At Invoca, AI Engineers are empowered by mentorship from leading experts across our data science, engineering, and architecture teams. Our dedicated AI platform team leverages a powerful combination of proprietary, and best-in-class vendor tools to create an scalable AI platform. Our goal is to seamlessly deliver transformative AI-powered experiences through our robust AI platform, and your expertise will contribute significantly in accelerating this mission. What You Bring to the Table: We're looking for a creative and driven AI Platform Engineer who is excited to tackle complex problems and build impactful solutions. You likely have: • Staff-level Platform Engineering Depth: 7+ years of professional experience in Platform engineering in AI/ML disciplines, with a strong focus on building shared infrastructure, platform products, developer tooling, or foundational backend systems used by a large number of users., • AI platform or agentic systems experience: You have worked on the infrastructure and framework layers behind AI systems such as agent orchestration, model-serving abstractions, evaluation systems, retrieval infrastructure, prompt/context tooling, MCP/A2A stack, platform APIs for AI development, etc., • Developer-facing product mindset: You care deeply about developer experience. You know how to design systems, interfaces, and abstractions that engineers actually want to use., • Strong distributed systems and backend engineering skills: You are highly effective in Python and/or TypeScript and are comfortable designing resilient services, APIs, asynchronous systems, and distributed workflows., • API and contract design ability: You have designed robust, typed, well-structured interfaces such as REST, gRPC, SDKs, or platform contracts that support long-term extensibility and adoption., • AI Systems Thinking Ability: You haven't just used frameworks like LangChain, LangGraph or LlamaIndex; you understand how they work under the hood and know when to abstract them away. You have built frameworks using them to solve various AI concerns for developers., • Experience with model infrastructure and operational concerns: You understand latency, throughput, reliability, token/cost management, model-provider integration, and the realities of running AI systems in production., • Experience with observability and evaluation: You have built or contributed to tracing, quality measurement, automated evaluation, or other systems that help teams understand and improve AI system performance., • Platform standardization instincts: You know how to take repeated engineering problems and turn them into reusable golden paths, shared components, and organizational standards., • Infrastructure as Code: Familiarity with Kubernetes, Docker, and Terraform., • Web Technologies: Intermediate to Expert level proficiency with TypeScript/JavaScript, React, and other web technologies., • Educational Foundation: Bachelor's Degree in Computer Science, Engineering, or a related field (or equivalent practical experience). An advanced degree (Master's or Ph.D.) is a strong plus. It would be a strong bonus if you have: • Experience with agent frameworks and orchestration runtimes such as LangGraph, LangChain, LiveKit or similar systems, • Experience with model gateways, inference infrastructure, or provider-routing layers, • Experience with retrieval systems, vector databases, and context-management infrastructure, • Familiarity with MCP-style interfaces, tool interoperability patterns, or workflow schemas, • Experience with multi-tenant platform design, governance, or enterprise-grade controls, • Experience creating reference implementations, templates, or internal developer platforms This role is a strong fit if you have built: • developer-facing AI platforms, • reusable orchestration or workflow systems, • evaluation and experimentation infrastructure, • platform APIs and SDKs for internal and/or external product/engineering teams, • model-serving, routing, or AI control-plane infrastructure, • shared AI tooling with strong operational rigor 📍 Location This is a remote-first role. We are currently hiring in the following locations: 📍 United States: Greater Los Angeles Area (including Santa Barbara and San Diego) · SF Bay Area · Denver Metro · Austin Metro · Chicago Metro · Greater NYC Area Canada: Toronto (AI/ML technical roles only) Candidates must be based within ~2 hour drive of these areas. Occasional business travel may be required. Please note that we are unable to provide initial visa sponsorship for this position. Salary, Benefits & Perks: At Invoca, all new hires in the U.S. receive benefits starting on day one of employment. Our benefits offerings include: Please note that benefits for teammates outside the U.S. may vary in accordance with their country's laws and regulations. • Flexible Time Off – We encourage a healthy work-life balance. Our flexible paid time off policy allows you to recharge and take time away as needed., • Paid Holidays – Invoca provides 16 U.S. paid holidays, including a winter break, giving you ample opportunity to refresh and spend time with friends and family., • Health Benefits – Our healthcare program includes medical, dental, and vision coverage, with multiple plan options so you can choose what works best for you and your family. Fertility assistance is also included., • Retirement – Invoca offers a 401(k) plan through Fidelity with a company match of up to 4%., • Stock Options – All employees are invited to share in Invoca's success through stock options., • Mental Health Program– Well-being support on a broad range of issues is available through our SpringHealth program., • Paid Family Leave – Up to 6 weeks of 100% paid leave is provided for baby bonding, adoption, and caring for family members., • Paid Medical Leave – Up to 12 weeks of 100% paid leave is provided for childbirth and medical needs., • InVacation – As a thank-you to our long-term team members, we offer a bonus after 7 years of service., • Wellness Subsidy – We provide a subsidy that can be applied toward gym memberships, fitness classes, and more., • Position Base Range - Salary Range $180,000 - $273,000 plus bonus + equity #LI-Remote

Job Description Applecart is the leading technology company that C-suites rely on to reach business-critical decision makers. The most important decisions are made by the hardest people to reach and influence. Historically, C-suite leaders have lacked the tools to reach the stakeholders who matter most to their business. The C-suites of hundreds of Fortune 500 companies, major agencies, trade associations, nonprofits, and governments use Applecart to put their best content in front of business-critical decision makers and those they trust — from policymakers and investors to CEOs, key employees, members of the media and more. Decision makers are informed by what they read, learn from advisors, hear from colleagues, and discuss with family and friends. To break through to them, you must reach them through the only channel that really moves them: those they know and trust. Applecart's platform uses publicly available data to map billions of social relationships between nearly every American adult and enable clients to deliver content directly to decision makers and those who matter most to them. We are hiring a Staff AI Engineer in our New York City office. About the Role: The role is for the Identity team at Applecart. The team builds and maintains best in class identity data products, tying multiple systems and data sources together. As a Staff AI Engineer, you will be responsible for leading the design and deployment of our next-generation AI-powered platforms. You will shape the technical destiny of our organization, moving beyond individual features to architect the agentic ecosystems that will handle our next phase of growth. This role will report to the Director of Engineering. What You'll Do: • Lead the design of end-to-end AI solutions using foundation models, multi-agent orchestration (MAS), and RAG pipelines. Ensure that today's technology choices support long-term scalability., • Identify systemic risks and infrastructure bottlenecks before they impact production and ensure the reliability, availability, and scalability of data pipelines and systems through effective monitoring, alerting, and incident management., • Mentor other engineers. Provide design feedback that teaches thinking, recommends scalable abstractions, and builds a culture of technical excellence., • Implement efficient Retrieval-Augmented Generation (RAG) architectures and integrate with enterprise data infrastructure., • Stay up to date with industry advancements in GenAI and apply modern technologies and methodologies to our systems., • Work closely with the data infrastructure team to build a unified data management and processing platform using Apache Spark, Unity Catalog, Iceberg, Dagster, etc. Experiences and Capabilities You Bring: • You have 8+ years of professional software development experience, especially in the fields of data engineering and AI/ML, • Deep expertise in applied AI/ML techniques (Deep Learning, NLP, GNNs), technologies (Agentic AI, RAG, Prompt/Context Engineering), and fluency in Python or a similar backend language, • You have designed and implemented scalable data processing pipelines, and understand how to store and retrieve large sets of data, • You have experience implementing various data warehousing architectures, including products like Snowflake or Databricks, • You have proven records of leading AI/ML projects, ideally RAG applications, • Proven experience with agentic frameworks (LangGraph, CrewAI, AutoGen) and modern data infrastructure (Kafka, Spark, Vector Search)., • You are an excellent verbal and written communicator. You are an expert at producing visuals for technical communication. Preferred qualifications: • Hands-on experiences with graph data models and graph data processing (with graph data engines such as Neo4 or PuppyGraph) is a big plus., • You have hands-on experience in implementing the Lakehouse architecture., • You are familiar with identity resolution and have experience building identity resolution systems., • You have experience with backend API designing and implementation, • You have experience optimizing the end to end performance of distributed systems, • Impeccable attention to detail and superior organizational skills This is a hybrid role. Work from home on Monday and Friday and in Applecart's New York City office Tuesday through Thursday. Compensation: Our compensation package consists of three components: (i) a base salary, (ii) annual cash bonus, and (iii) generous equity compensation. The base salary range for this role is between $200,000 - 250,000 based on the candidate's experience and skills relative to the requirements listed above. The salary range provided is exclusive of discretionary annual cash bonus and equity compensation. The salary range provided for this role is specific to candidates located in the New York City area. A few facts about us: • Applecart's platform has been used by hundreds of industry-leading clients spanning Fortune 500 companies like Blackstone and Intuit, leading nonprofit organizations like the Environmental Defense Fund, and top-tier advertising and communications agencies like Teneo, FGS, Weber Shandwick, and OMD., • Applecart is growing quickly — over the last 4 years, we've increased our revenue by 10X, grown our headcount by almost 5X, and we're cashflow positive., • Our senior leadership team includes two members of the Forbes 30 under 30 list for Marketing and Advertising, the former Head of Product at Moat, Oracle's online ad measurement platform, a former senior White House advisor, early sales and talent leaders from Google and Twitter, two of the Democratic Party's most successful pollsters and strategists, and alums of top-tier organizations like Bain & Company, Amazon and Simpson Thacher., • Applecart raised a $100M Series C from Blackstone's tech growth fund at the end of 2025. The company's other investors include Bain & Company, global sports, entertainment and marketing giant Endeavor, KKR Co-Founder Henry Kravis, entrepreneur Chris Burch, a founder of Palantir, senior engineering leaders at Twitter and Yelp, former Fortune 50 and advertising agency CEOs, and a number of well-known venture capitalists. Ari Emanuel, CEO of TKO and Executive Chairman of WME, Wayne Berman, Blackstone's Head of Global Government Affairs, and Risa Heller, CEO of HELLER, serve on our board., • Our work has been featured on Morning Joe on MSNBC, BloombergTV, and The Colbert Report, and in Axios, Semafor, BusinessWeek, the Associated Press, Forbes, the Washington Post, and Politico, among many others.

Job DescriptionCompany Description Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. Sia’s AI & Data Business Unit is the powerhouse of our firm’s innovation—merging cutting-edge Data Science, Generative AI, and advanced digital solutions to transform industries. With over 350 experts worldwide, we tackle projects from proof-of-concept to large-scale deployment, always pushing the boundaries of AI capabilities. Our 12 R&D labs in Europe and North America drive continuous research in areas like computer vision, MLOps, and deep learning, partnering closely with our business consultants for real-world impact. By joining Sia’s AI & Data team, you’ll step into a vibrant, collaborative environment that nurtures professional growth and empowers you to shape the future of AI-driven consulting. Job Description We are growing our Generative AI consulting practice and looking for motivated recent graduates to join as GenAI Consultants. You'll work at the intersection of cutting-edge AI and real business problems — helping clients across industries design, build, and deploy LLM-powered solutions that create tangible value. This is a hands-on technical role. You'll contribute to the full lifecycle of GenAI projects: from architecture and prototyping through to production deployment, evaluation, and iteration. We invest heavily in your development, and expect you to do the same. What You'll Do You'll design and implement GenAI/LLM solutions leveraging models such as Claude, GPT, Gemini, Llama, and Mistral — selecting the right approach (RAG, agents, fine-tuning, prompt engineering) for each client context. You'll support senior architects in designing scalable, secure, and compliant AI applications while building hands-on experience across the full stack. Responsibilities • LLM/GenAI System Development: Design, build, train, fine-tune, and deploy sophisticated AI models leveraging LLMs (e.g., GPT-x, Claude, Gemini, Llama, Mistral) and other generative techniques., • Assist in Solution Architecture: Support the GenAI Solution Architect in designing robust, scalable, and secure applications., • Application Development: Develop applications powered by GenAI models (both self-managed and API-accessible) that meet business needs and comply with applicable regulations (GDPR, EU AI Act, model licenses, etc.)., • Advanced Prompt Engineering: Design and optimize effective prompts (e.g., few-shot, Chain/Tree/Graph of Thought, ReAct, Self-reflection, guardrails), balancing simplicity and complexity to enhance analytical capabilities, refine outputs, improve user experience, and control interactions., • RAG Implementation: Design and implement Retrieval-Augmented Generation (RAG) architectures to improve accuracy and relevance by retrieving information from pre-determined knowledge sources, providing traceability (source attribution)., • Model Selection & Fine-Tuning: Select and fine-tune appropriate models (including multimodal - VLM, SLM - Visual Language Models, Small Language Models) to create higher-quality content (text, image, audio, code, etc.) and maximize business value creation opportunities., • Integration & Deployment (MLOps): Implement MLOps best practices for the GenAI lifecycle, including automated pipelines (CI/CD), versioning, monitoring, and maintenance in production environments (Cloud platforms like AWS, Azure, GCP). Ensure seamless integration into existing systems and with external tools/APIs, potentially utilizing standardized protocols (MCP)., • Evaluation & Responsible AI: Develop and execute rigorous evaluation frameworks to measure model performance, reliability, fairness, and safety. Ensure adherence to Responsible AI principles and help teams and clients navigate end-to-end security and compliance processes., • Research & Innovation: Stay abreast of the latest advancements in GenAI techniques, technologies, and frameworks. Experiment with new approaches and contribute to internal knowledge sharing., • Collaboration: Work effectively within cross-functional teams, communicating complex technical concepts clearly to diverse stakeholders (both technical and non-technical)., • Documentation: Document processes, methodologies, and best practices for knowledge sharing and future reference., • Use Case Differentiation: Distinguish between use cases suited for Generative AI versus traditional NLP applications (e.g., NER, sentiment analysis). Qualifications, • Bachelors Degree Required, • Recent graduate (within 2 years) in CS, Engineering, Data Science, or equivalent, • Strong Python programming skills, • Familiarity with at least one GenAI framework (LangChain, LlamaIndex, or similar), • Foundational knowledge of NLP concepts, vector embeddings, and semantic search, • Exposure to cloud platforms (AWS, Azure, or GCP), • Ability to explain technical concepts clearly to diverse audiences Claude Certified Architect (CCA) Requirement All candidates must hold — or demonstrate the clear ability to obtain within one week of hire — the Claude Certified Architect – Foundations (CCA-F) certification from Anthropic. Preferred Qualifications • Masters Degree Preferred, • Prior experience building agentic AI systems (LangGraph, AutoGen, etc), • Familiarity with vector databases (Pinecone, Chroma, pgvector, OpenSearch), • Experience with or understanding of the Model Context Protocol (MCP), • Hands-on fine-tuning experience with open-source LLMs, • Familiarity with Docker, Git, and CI/CD workflows Additional Information Compensation & Benefits We believe in supporting our team professionally and personally. Here’s a snapshot of the comprehensive benefits you’ll enjoy as part of Sia. Competitive Compensation • Annual Base Salary Range: $80,000-110,000 annually, commensurate with experience and qualifications, • Annual performance based discretionary bonus Robust Health Coverage • 3 Medical plans, • Dental and Vision, • Life, AD&D and other voluntary insurance Tax-Advantaged Accounts • 401K retirement plan, • 4% matching and 100% vested upon enrollment, • Health Savings Account (HSA), • Flexible Spending Account (FSA), • Health, Dependent Care, Commuter Family Friendly Benefits • 100% paid parental leave for all new parents with eligible tenure, • Building Healthy Families program if enrolled through Medical plan Time Off to Recharge • Generous Paid Time Off (PTO) policy, • 9 company holidays plus 1 floating holiday Extras that Make Life Easier • College savings and student loan repayment assistance, • Monthly cell phone stipend, • Access to wellness programs at no cost if enrolled through Medical plan, including:, • Employee Assistance Program at no cost Diversity, Equity, Inclusion & Belonging At Sia, we believe in fostering a diverse, equitable and inclusive culture where our employees and partners are valued and thrive in a sense of belonging. We are committed to recruiting and developing a diverse network of employees and investing in their growth by providing unique opportunities for professional and cultural immersion. Our commitment toward inclusion motivates dynamic collaboration with our clients, building trust by creating an inclusive environment of curiosity and learning which affects lasting impact. Please visit our website for more information. Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs. Office Workplace Guidelines Sia is committed to providing a flexible workplace environment that supports client, business, and market needs. Consultants located in our primary market office locations—New York City, Charlotte, Seattle, and San Francisco—are expected to live within a reasonable commuting distance and attend the office at least three days or more per week. For Consultants outside of our primary markets, we can offer more flexible in-person requirements in accordance with your location. Work Authorization & Sponsorship At this time, Sia does not intend to employ any applicant who will require, either now or in the future, employment visa sponsorship or sponsorship for work authorization (i.e., H1-B visa, F-1/OPT) or STEM OPT, TN, etc). Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

Job Description Portfolio BI's flagship platforms - PBI Axiom, PBI Vector, and PBI Stratus - empower alternative asset managers to solve complex data challenges across analytics, workflow, governance, and security. Our Stratus practice delivers fully managed IT and cybersecurity services to hedge funds, private equity firms, and other financial services clients who demand enterprise-grade reliability from a team that understands their business. We are seeking a seasoned Sr. System Engineer - Onsite to serve as the primary technical presence at a high-profile financial services client. This is not a traditional support role - you will be the trusted technical lead and day-to-day partner to the client's leadership, owning the reliability, security, and continuous improvement of their entire technology environment. You will bring deep cloud and infrastructure expertise, a strong automation mindset, and the client-facing maturity to translate technical complexity into business outcomes. You will serve as the escalation anchor for all Level 1 and Level 2 issues, partner with our engineering teams on complex initiatives, and ensure the client's environment evolves alongside their business. Requirements • 4 to 8 years of experience in systems engineering, cloud operations, or a closely related role, • Proven track record as a senior technical resource in a dedicated or client-facing environment, ideally within an MSP or financial services firm, • Strong hands-on experience with Microsoft Azure (IaaS, PaaS, hybrid architectures) - Azure Administrator Associate certification preferred, • Deep expertise across the Microsoft 365 ecosystem: Exchange Online, SharePoint, OneDrive, Intune, Entra ID, Teams Calling, • Solid command of cloud networking: VNets, VPNs, load balancing, DNS, NSGs, ExpressRoute, and hybrid connectivity, • Windows Server administration including Active Directory, Group Policy, DNS, DHCP, and DFS, • Scripting and automation proficiency in PowerShell, Python, and Bash - you write code to solve operational problems, not just for documentation, • Hands-on experience with infrastructure-as-code tools: Terraform, ARM templates, or Bicep, • Solid networking fundamentals: LAN/WAN/DMZ architecture, routing, switching, firewalls, DHCP, and DNS, • Experience supporting market data platforms and vendor integrations common in financial services environments (Bloomberg, Refinitiv/LSEG, CapIQ, Advent, or similar), • Excellent client-facing communication skills - able to engage confidently with both technical teams and business leadership Preferred Qualifications: • Prior experience in the alternative investment industry (hedge funds, private equity, asset management), • Microsoft certifications such as Azure Administrator Associate (AZ-104) or Microsoft 365 Certified: Enterprise Administrator Expert, • Experience with cybersecurity tools: Microsoft Defender for Endpoint, Microsoft Sentinel, CrowdStrike, or Darktrace, • Familiarity with Citrix Virtual Apps and Desktops (XenApp) or similar application delivery platforms, • Experience supporting hybrid cloud and on-premises integrations including VMware or Hyper-V environments, • Working knowledge of Linux server administration, • Familiarity with ITIL practices and ITSM tools such as ServiceNow or Jira Service Management Key Responsibilities: Client Partnership & Onsite Leadership • Serve as the senior onsite technical lead and trusted advisor to the client's CTO and senior stakeholders, • Build and maintain a strong client relationship grounded in technical credibility, proactive communication, and follow-through, • Translate business requirements into technical solutions, providing guidance on infrastructure decisions, vendor evaluations, and technology roadmap considerations, • Represent Portfolio BI's standards and quality of service in every client interaction Infrastructure Operations & System Health • Own the day-to-day health, performance, and availability of the client's cloud and hybrid infrastructure, • Provide hands-on support across end-user systems, server infrastructure, networking, storage, identity, and security layers, • Proactively monitor systems using cloud-native and third-party tools, identifying and resolving risks before they affect operations, • Execute and oversee operational activities including patching cycles, backup validation, disaster recovery readiness, and scheduled maintenance, • Support and administer the full Microsoft 365 ecosystem including Exchange Online, SharePoint, OneDrive, Intune, Entra ID, and Teams Calling Incident & Problem Management • Serve as the primary escalation point for critical incidents, ensuring timely resolution within defined SLA commitments, • Lead root cause analysis (RCA) efforts and implement durable corrective actions to prevent recurrence, • Drive continuous improvement of incident response processes, runbooks, and escalation paths, • Maintain clear and timely communication with clients during active incidents, providing status updates and post-incident summaries Automation, IaC & Cloud Engineering • Design and maintain infrastructure-as-code (Terraform, ARM templates, Bicep) to ensure consistent, repeatable deployments, • Develop and enhance automation scripts (PowerShell, Python, Bash) to reduce manual operational overhead and improve reliability, • Support cloud deployments, configuration changes, and infrastructure updates under strict change control procedures, • Identify automation opportunities across operational workflows and lead implementation through to production Security & Compliance • Enforce security best practices, compliance standards, and patch management policies across all managed environments, • Administer identity and access management (IAM) including Entra ID policy design, conditional access, and privileged access controls, • Ensure proper implementation of logging, monitoring, and audit frameworks using tools such as Microsoft Sentinel, • Collaborate on security incident response, threat hunting, and remediation efforts in line with client risk posture Documentation & Continuous Improvement • Maintain high-quality documentation including operational runbooks, and change records, • Participate in regular business reviews and provide technical input on client roadmap discussions Benefits This is a full time role with the following employment benefits: • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Life Insurance (Basic, Voluntary & AD&D), • Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Short Term & Long Term Disability, • Training & Development, including support for cloud and security certifications

Job DescriptionCompany Description On-Site 1yr contract $10950/month About the Role We are seeking a Senior Generative AI Engineer to design, build, and deploy production-grade AI applications powered by large language models (LLMs). In this role, you will lead the end-to-end development of Generative AI solutions, including LLM-powered applications, retrieval-augmented generation (RAG) systems, agentic workflows, model evaluation pipelines, and production infrastructure. You will work cross-functionally with product, finance, data, and business stakeholders to translate real-world business problems into scalable AI systems that deliver measurable value. Job Description • Design and develop algorithms for generative models using deep learning techniques, • Design and build LLM-powered applications for internal and/or customer-facing use cases, • Develop and productionize RAG pipelines using enterprise data sources, vector databases, and retrieval systems, • Build and optimize AI agents / agentic workflows for task automation, reasoning, and orchestration, • Integrate model providers such as OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, and open-source models where appropriate, • Create robust evaluation frameworks for response quality, factuality, latency, safety, and reliability, • Implement prompt engineering, structured outputs, tool calling, and model optimization strategies, • Deploy scalable AI services to cloud environments using modern software engineering and MLOps practices, • Build monitoring, observability, and feedback loops for model and application performance in production, • Establish and maintain guardrails, responsible AI practices, and security controls for enterprise AI systems, • Collaborate with product managers, designers, and business stakeholders to identify high-impact AI opportunities, • Mentor other engineers and contribute to architecture, technical direction, and engineering best practices Qualifications • Bachelor’s degree in Computer Science, Engineering, Machine Learning, or a related field, • 5+ years of software engineering, machine/deep learning engineering, or applied AI experience, • 2+ years of hands-on experience building and deploying Generative AI / LLM-based systems in production, • Strong programming skills in Python and experience with backend/API development, • Experience with LLM application development, including prompt engineering, RAG, tool use, and structured output design, • Experience in optimizing RAG pipelines using both structured and unstructured data, • Experience with orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent, • Experience in generative AI techniques such as GANs, and VAEs, • Hands-on experience with vector databases / retrieval systems such as Pinecone, Weaviate, Chroma, FAISS, Elasticsearch, or Azure AI Search, • Experience with cloud platforms such as AWS, GCP, or Azure, • Experience with Docker, Kubernetes, CI/CD, and production deployment practices, • Strong understanding of software architecture, scalability, reliability, and distributed systems, • Experience building evaluation, testing, and monitoring for AI systems, • Strong communication skills and ability to work closely with technical and non-technical stakeholder Preferred Qualifications • Experience fine-tuning or adapting open-source LLMs, • Advanced knowledge of natural language processing for text generation tasks, • Experience with PyTorch, TensorFlow, JAX, or related ML frameworks, • Experience with MLOps tools such as MLflow, SageMaker, Vertex AI, Azure ML, Kubeflow, or similar, • Experience building multi-agent systems or advanced orchestration workflows, • Experience with AI safety, guardrails, red-teaming, privacy, and governance, • Familiarity with search, ranking, recommendation, conversational AI, or enterprise knowledge systems, • Experience in customer-facing or enterprise SaaS products, • Experience in semiconductor/manufacturing, retail and e-commerce sectors Additional Information All your information will be kept confidential according to EEO guidelines.

Job Description Who We Are Kargo creates powerful moments of connection between brands and consumers to build businesses. Every day, our 600+ employees work to radically raise the bar on what agentic AI, CTV, eCommerce, social, and mobile can do to deliver unique ad experiences across the world's most premium platforms. Taking a creative science approach to all we do, we continuously innovate solutions that outperform industry benchmarks and client expectations. Now 20+ years strong, Kargo has offices in NYC, Chicago, LA, Dallas, Sydney, Auckland, London and Waterford, Ireland. Who We Hire Techies who want to build the future. Creatives who want to design it better. Communicators to win business. Collaborators to build it. Data pros who turn numbers into insights. Product builders who turn ideas into innovations. Anyone eager to be on a team that doesn't stop to ask what's next, because they're already building it. Mission As the AI Engineer at Kargo, you will architect, build, and scale AI-powered products and automations for Kargo's commercial organization. Operating within the Data & AI team, you are the connective tissue between revenue teams and AI infrastructure — proactively identifying high-value use cases, building intelligent workflows and agentic applications, and deploying trustworthy systems across Salesforce, Snowflake, Slack, and other internal platforms. You're both hands-on and capable of owning the strategic roadmap for AI operations at Kargo. This is a hybrid role requiring onsite presence 4 days per week. Outcomes - What Success Looks Like in 6-12 Months • At least 3 high-impact AI automations are live and actively used by commercial teams — measurably reducing manual work or improving data quality across Salesforce, Slack, or Snowflake, • A governance model is in place covering prompt engineering standards, audit trails, and a feedback loop that drives continuous iteration, • Cross-functional stakeholders trust and use the tools you've built, and Kargo's Data & AI leadership has a clear, prioritized AI Ops roadmap that you own and drive, • You've established yourself as Kargo's internal thought leader on applied AI — the person teams come to when they have a problem AI might solve Skills - Core Capabilities Design & Automation • Design, build, deploy, and maintain AI-powered automations and agent workflows using modern orchestration frameworks — LangGraph, n8n, OpenAI Responses/Agents tooling, MCP-compatible architectures — with integrations across Salesforce, Slack, Snowflake, Atlassian, Google Workspace, Looker, and Airtable, • Translate business pain points into modular, extensible automation flows that are observable, debuggable, and fault-tolerant; proficient in Python or JavaScript for custom connectors and scripting, • 5–8+ years in systems automation, internal tools, or process/data engineering; hands-on with orchestration platforms such as n8n, LangGraph, Zapier, or Make; strong familiarity with SaaS APIs and system interoperability AI Agent Deployment • Build production-grade LLM applications — agent workflows, retrieval systems, internal copilots — using ChatGPT Enterprise and related LLM APIs for knowledge surfacing, workflow routing, decision support, and dynamic content generation, • Maintain a governance model for prompt engineering, agent testing, and audit trails; leverage AI-assisted development tools (Claude Code, Cursor, Codex) to accelerate velocity; familiar with evaluation and observability frameworks for LLM applications Internal Enablement & Strategy • Work cross-functionally with Sales, Client Services, Media Strategy, Marketing, Product, and Ops to discover automation opportunities, prototype quickly, document tooling, and drive self-service adoption, • Own and communicate the AI Ops roadmap to Data & AI leadership — prioritized by business impact, sequenced by feasibility, and grounded in real discovery with commercial teams Nice to Have • Prompt libraries, embeddings-based retrieval, or vector databases (Pinecone, Weaviate) and RAG pipelines, • Retool or Streamlit for lightweight internal UIs; ArgoCD or Kubernetes CI/CD experience Competencies - Behaviors We Like to See Builder's Instinct • Ships fast, iterates on real feedback, and knows when to build vs. buy — comfortable defining the problem and executing without a fully specified brief Cross-Functional Fluency • Translates between engineers and revenue leadership, earns trust by delivering things that work, and stays close to adoption after deployment Bias for Impact • Prioritizes automations that move a real business metric and measures success by adoption and friction reduction — not lines of code Ownership & Accountability • Owns the roadmap end-to-end, communicates proactively, flags blockers early, and treats internal users like customers Growth Mindset • Stays current on the LLM and AI agent landscape, applies new tooling when it matters, and shares knowledge generously to raise AI fluency across teams In accordance with applicable federal, state, and local pay transparency laws, the anticipated base salary range for this position is listed below. Actual compensation may vary based on factors such as geographic location, work experience, education, and skills. U.S Salary Range $140,000—$180,000 USD Our Laurels • AdAge Best Places to Work, • ThinkLA Partner of the Year, • Built In Best Places to Work, • Cynopsis 2025 Top Women in Media - Jeannine Shao Collins, • Martech Breakthrough Awards - Best Overall Adtech Company, • Digiday Media Awards Best Event, • Cynopsis Media Impact Awards-Best CTV Platform, • Martech Breakthrough Awards-CTV Innovation, • Adweek Media Plan of the Year Awards - Best Use of Insights Follow Our Lead • Big Picture: kargo.com, • The Latest: Instagram (@kargomobile) and LinkedIn (Kargo) Kargo is an Equal Opportunity Employer. We are committed to building an inclusive and diverse workplace where all employees and applicants are treated with respect and dignity. We do not discriminate on the basis of race, color, ethnic origin, religion or belief, sex, sexual orientation, gender identity or expression, age, disability, marital or family status, national origin, veteran status, or any other characteristic protected by applicable local, state, or federal law. All qualified applicants will receive consideration for employment. Pursuant to applicable fair chance laws, including the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Kargo will consider qualified applicants with arrest and conviction records for employment.

Job DescriptionWHO WE ARE Consumer Reports is an independent, nonprofit organization dedicated to a fair and just marketplace for all. CR is known for our rigorous testing and trusted ratings on thousands of products and services. We report extensively on consumer trends and challenges, and survey millions of people in the U.S. each year. We leverage our evidence-based approach to advocate for consumer rights, working with policymakers and companies to find solutions for safer products and fair practices. Our mission starts with you. We offer medical benefits that start on your first day as a CR employee that include behavioral health coverage, family planning and a generous 401K match. Learn more about how CR advocates on behalf of our employees. OVERVIEW We're hiring a Senior Full-Stack Engineer to turn our AI and machine learning capabilities into real products used by millions of consumers and internal teams. This is a product engineering role,not model training. You'll focus on delivering AI through scalable, intuitive applications. You'll report to the Associate Director, AI/ML & Data Science and work closely with AI/ML engineers and data scientists to bring models, APIs, and data pipelines into production-ready experiences. You'll own the full stack, from frontend to backend to cloud—ensuring performance, reliability, and usability at every layer. You'll also partner with product and design to create AI experiences that are clear, trustworthy, and impactful. If you enjoy turning complex technology into products people actually use, this is your role. This is a hybrid position; it is not eligible for sponsorship or relocation assistance. How You'll Make An Impact You'll help power a multi-year AI strategy focused on consumer value, employee tools, and responsible AI. In this role, you will: • Build full-stack applications, data APIs, and AI-powered dashboards, • Develop backend services (Python: FastAPI/Django, Node.js), • Integrate with Databricks and AWS SageMaker, • Create responsive frontends (React, Next.js, TailwindCSS), • Deploy cloud-native apps (AWS, GCP, or Azure), • Connect RAG pipelines, vector databases, and model endpoints, • Implement authentication, data access, and API management, • Build CI/CD pipelines, testing, and performance optimization, • Collaborate with product and design on AI-driven experiences ABOUT YOU You'll Be Highly Rated If: • You have the experience. 5+ years building production full-stack applications with Python, JavaScript, and SQL/NoSQL systems., • You've earned the degree. Bachelor's in Computer Science, Engineering, or a related field., • You've integrated software with AI/ML services, data APIs, or model endpoints — as a consumer of those services., • You've deployed on AWS, GCP, or Azure, ideally with Databricks or SageMaker. You'll Be One of Our Top Picks If: • You love turning complex AI models into products people actually use., • You move fluently across frontend, backend, and cloud., • You're as comfortable debating UX as you are optimizing a data pipeline. FAIR PAY AND A JUST WORKPLACE At Consumer Reports, we are committed to fair, transparent pay and we strive to provide competitive, market-informed compensation.The target salary range for this position is $100K-$140K. It is anticipated that most qualified candidates will fall near the middle of this range. Compensation for the successful candidate will be informed by the candidate's particular combination of knowledge, skills, competencies, and experience. We have three locations: Yonkers, NY, Washington, DC and Colchester, CT. We are registered to do business in and can only hire from the following states and federal district: Arizona, California, Connecticut, Illinois, Maryland, Massachusetts, Michigan, New Hampshire, New Jersey, New York, Texas, Vermont, Virginia and Washington, DC. Salary ranges • NY/California: $120K-$140K annually, • DMV/Massachusetts: $115K-$135K annually, • Colchester, CT and additional approved CR locations: $100K-$120K annually Consumer Reports is an equal opportunity employer and does not discriminate in employment on the basis of actual or perceived race, color, creed, religion, age, national origin, ancestry, citizenship status, sex or gender (including pregnancy, childbirth, related medical conditions or lactation), gender identity and expression (including transgender status), sexual orientation, marital status, military service or veteran status, protected medical condition as defined by applicable state or local law, disability, genetic information, or any other basis protected by applicable federal, state or local laws. Consumer Reports will provide you with any reasonable assistance or accommodation for any part of the application and hiring process.

Job DescriptionSalary: Senior AI/ML Engineer Client: Global advertising company Location: Chicago or NYC; 3 days a week onsite. Were seeking a senior AI/ML Engineer with minimum 9-10 yrs experiencewho can serve as a Technical Architect owning end-to-end design and delivery of machine learning solutions. This role blends hands-on model development, ML platform engineering, and architectural governanceto build scalable, secure, and cost-effective AI systems that power high-impact business use cases. Responsibilities • Collaborate with software engineers, business stake holders and/or domain experts to translate business requirements into product features, tools, projects, AI/ML, NLP/NLU and deep learning solutions., • Develop, implement, and deploy AI/ML solutions., • Preprocess and analyze large datasets to identify patterns, trends, and insights., • Evaluate, validate, and optimize AI/ML models to ensure their accuracy, efficiency, and generalizability., • Deploy applications and AI/ML model into cloud environment such as AWS/Azure/GCP etc., • Monitor and maintain the performance of AI/ML models in production environments, identifying opportunities for improvement and updating models as needed., • Document AI/ML model development processes, results, and lessons learned to facilitate knowledge sharing and continuous improvement. Qualifications • Bachelor's or masters degree in Computer Science, Data Science, Engineering, or a related field., • Experience on Agentic AI/ Frameworks, • Strong programming skills in languages such as Python, SQL/NoSQL etc., • Build analytical approach based on business requirements, then develop, train, and deploy machine learning models and AI algorithms, • Exposure to GEN AI models such as OpenAI, Google Gemini, Runway ML etc., • Experience in developing and deploying AI/ML and deep learning solutions with libraries and frameworks, such as TensorFlow, PyTorch, Scikit-learn, OpenCV and/or Keras., • Knowledge of math, probability, and statistics., • Familiarity with a variety of Machine Learning, NLP, and deep learning algorithms., • Exposure in developing API using Flask/Django., • Good experience in cloud infrastructure such as AWS, Azure or GCP, • Exposure to Gen AI, Vector DB/Embeddings, LLM (Large language Model), • Familiarity with Microsoft Foundry and Copilot Studio

Job Description Project Overview HireScale is partnering with an innovative organization looking to accelerate their AI capabilities and embed intelligent systems into core workflows. This engagement is built around rapid 0→1 product development—taking ideas from concept to working prototypes and MVPs with speed, precision, and real-world applicability. The focus is on shipping, not speculating. You’ll leverage AI-assisted development as a force multiplier—using modern tooling to compress build cycles, iterate quickly, and validate ideas in-market—without compromising on code quality, system design, or long-term scalability. This is a hands-on role for a consultant who can operate across the full lifecycle: • Rapidly translating ambiguous ideas into tangible prototypes, • Building MVPs that balance speed with solid engineering fundamentals, • Making smart trade-offs between velocity and technical rigor, • Establishing patterns that can evolve from prototype → production You’ll work at the intersection of product, engineering, and AI—bringing structure to fast-moving environments while maintaining a high bar for accuracy, performance, and maintainability. The end goal isn’t just to build something quickly—it’s to build the right thing, prove it works, and set the foundation to scale it. Scope of Work & Core Capabilities • Design and ship AI-driven solutions aligned to clear business outcomes, • Translate ambiguous use cases into fast, working prototypes and MVPs, • Build, test, and deploy scalable AI applications end-to-end, • Apply strong engineering fundamentals to balance speed, accuracy, and maintainability, • Optimize models, pipelines, and system performance for production readiness, • Leverage modern AI/ML frameworks and LLMs (OpenAI, Anthropic, LLaMA, Mistral), • Develop across Python, JavaScript/TypeScript, and SQL-based environments, • Utilize frameworks like LangChain, LlamaIndex, PyTorch, TensorFlow, FastAPI, and Node.js, • Deploy and manage infrastructure across AWS, GCP, or Azure using Docker and modern hosting platforms (Vercel, Netlify), • Work with vector databases and data systems (PostgreSQL, Pinecone, Weaviate, FAISS), • Collaborate with stakeholders and communicate complex concepts clearly, • Document solutions and enable clean handoff for internal teams Engagement Brief This consulting engagement is focused on delivering real, production-ready AI outcomes within a defined timeframe by balancing speed, scalability, and measurable business impact. It’s structured for experienced builders who can own execution end-to-end and deliver work that lasts beyond the engagement. • Target Outcomes: Production-ready AI solutions aligned to defined use cases, delivering measurable improvements in efficiency, accuracy, or cost, with scalable architecture and a clean handoff for internal teams, • Duration: 8–12 weeks, with potential extension based on outcomes, • Commitment: Full-service or fractional, depending on scope, • Budget: Flexible based on timeline, scope, and proposal, • Start Date: ASAP Portfolio Requirements: • 2–3 relevant AI/ML projects (production or near-production), • Demonstrated end-to-end ownership (problem → solution → outcome), • Clear evidence of impact (metrics, business results, or adoption), • Supporting materials such as GitHub, case studies, or technical write-ups preferred About HireScale HireScale is redefining how people and organizations grow and work together. We connect companies with top-rated independent consultants to build agile, highly skilled and resilient teams; while also empowering talent to shape their own paths and align meaningful work with personal freedom and purpose. Our goal is a future where opportunity is open, work is self-directed, and everyone thrives.

Job Description Who We Are: Alpaca is a US-headquartered self-clearing broker-dealer and brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Our recent Series D funding round brought our total investment to over $320 million, fueling our ambitious vision. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 9 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by top-tier global investors, including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Unbound, SBI Group, Derayah Financial, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 230+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: We are looking for a Head of Data to lead Alpaca's ~15-person data department across Platform Engineering, Analytics Engineering, and Data Science. You will own the data strategy, the team's execution, and the department's roadmap. The Data department serves every function at Alpaca: it powers partner invoicing and revenue attribution, provides the analytical foundation for sales, product, and compliance, and operates the data platform that processes hundreds of millions of events daily. You will manage three team leads, balancing operational delivery (invoicing, embedded analytics, regulatory reporting) with strategic bets (self-service warehouse, AI-powered analytics, enterprise search). This is a player-coach role. You will set direction for the team while staying close enough to the technical details to make architecture decisions, unblock your leads, and represent data's capabilities to the executive team. Things You Get To Do: • Lead and develop three sub-teams: Platform Engineering & ETL, Analytics Engineering, and Data Science & Analytics. Manage leads, set priorities, and ensure delivery., • Own the Data Lakehouse architecture: Trino, Iceberg/GCS, Airflow, Airbyte, Redpanda CDC, dbt. Make build-vs-buy decisions on tooling., • Drive partner invoicing accuracy and evolution: ensure invoicing logic is versioned, reproducible, and scales with new pricing mechanisms and product launches., • Deliver embedded analytics: expose warehouse data to partners via BrokerDash, SSR pipelines, and API-based reporting. Own row-level security and entitlements., • Support product launches with data change management: coordinate data impact analysis for new products (fixed income, global stocks, perps, 24/5 trading) across downstream datasets, dashboards, and reverse ETL., • Accelerate self-service: move the organization toward self-serve analytics via semantic layers, data catalogues, and conversational BI so the data team can shift from ad-hoc queries to strategic projects., • Guide AI/ML enablement: oversee enterprise AI search, agent-based workflow automation, and LLM-powered analytics. Help balance vendor solutions with in-house development., • Collaborate with Finance, Sales, Product, Compliance, and Customer Success to translate business needs into data products., • Manage infrastructure costs: keep data + cloud cost ratio under target as AUC grows., • Operate production systems: own on-call processes, incident response, and SLOs for data freshness, accuracy, and availability. Who You Are (Must-Haves): • 8+ years in data engineering or analytics, including 3+ years managing data teams (leads + ICs)., • Deep experience with modern data stack: dbt, Trino/Presto or equivalent query engines, Apache Iceberg or similar table formats, cloud object storage., • Hands-on experience with ETL/ELT patterns at scale: CDC (Debezium/Kafka), batch (Airflow/dbt), streaming, and reverse ETL., • Track record of building self-service analytics capabilities for non-technical stakeholders., • Experience with financial data: trading, invoicing, revenue attribution, or regulatory reporting in fintech or financial services., • Proficiency in Python and SQL. Comfortable reading code, reviewing PRs, and making architecture decisions., • Experience managing distributed/remote teams across multiple time zones., • Strong stakeholder management: you can translate between executive priorities and engineering execution., • Experience with GCP (GKE, GCS, BigQuery migration), Kubernetes, Helm, Terraform. Who You Might Be (Nice-to-Haves): • Experience with brokerage or broker-dealer operations (clearing, settlement, market making, reconciliation)., • Familiarity with LLM/AI tooling: MCP, vector databases, enterprise search, conversational BI (WrenAI, Cube)., • Background in compliance analytics (AML/Actimize, KYC, margin calls)., • Exposure to open-source data catalogues (OpenMetadata, Collate) and data quality frameworks.How We Take Care of You:, • Competitive Salary & Stock Options, • Health Benefits, • New Hire Home-Office Setup: One-time USD $500, • Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy

Job DescriptionSalary: $100,000 - $140,000 About Us True Ventures Group (TVG) is the parent organization behind three mission-driven healthcare brands: True Care (licensed home care, New York City & Westchester), Andrea's Angels (IHSS and Brain Injury Waiver services, Colorado), and Pod Health (telehealth and chronic care management, New York, Colorado and Florida). We are seeking a highly motivated and hands-on Software Engineer to design, develop, integrate, and support technology solutions that improve operational efficiency across our healthcare and home care organization. This role will collaborate with stakeholders across the organization to identify opportunities for automation, systems integration, workflow optimization, and technology innovation. The successful candidate will help design, build, and support scalable technology solutions that improve operational efficiency, data accessibility, and user experience across the business. The ideal candidate is equally comfortable meeting with stakeholders to understand business challenges, designing technical solutions, writing production-quality code, integrating third-party platforms, and evaluating emerging technologiesincluding artificial intelligence and automation solutionsto solve real business problems. This position is highly autonomous and ideal for an engineer who enjoys building solutions from concept through deployment while helping shape the organization's long-term technology strategy. Key Responsibilities Software Engineering & Application Development • Design, develop, test, deploy, and maintain internal web applications, portals, forms, APIs, automation services, and supporting infrastructure., • Write clean, maintainable, secure, and well-documented code using modern software engineering practices., • Participate in all phases of the software development lifecycle, including discovery, design, development, testing, deployment, and ongoing support., • Develop scalable solutions that support operational, clinical, compliance, billing, recruiting, and administrative workflows., • Troubleshoot and resolve application, integration, and performance issues. Systems Integration & Automation • Design and implement integrations between internal and third-party systems using APIs, web services, middleware, and automation frameworks., • Develop solutions that reduce manual processes, improve data accuracy, and streamline operational workflows., • Build and maintain secure data exchange processes between healthcare, CRM, communication, document management, and reporting platforms., • Evaluate integration opportunities and recommend scalable architectural approaches. Innovation & Emerging Technologies • Research, evaluate, prototype, and implement emerging technologies that improve business operations and user experience., • Identify opportunities to leverage artificial intelligence, intelligent automation, workflow orchestration, and modern development frameworks where appropriate., • Develop proof-of-concept solutions to validate technical feasibility and business value., • Stay current with industry trends, development tools, cloud technologies, and AI advancements. Data & Reporting Infrastructure • Support the development and integration of data pipelines, data warehouses, and reporting platforms., • Collaborate with analytics teams to ensure systems and integrations support accurate reporting and business intelligence initiatives., • Design and optimize data structures, APIs, and integrations that improve data accessibility and consistency across systems. Architecture, Security & Compliance • Recommend technology platforms, frameworks, and architectural approaches aligned with business requirements., • Ensure applications and integrations follow security best practices and healthcare privacy requirements., • Implement secure coding standards, authentication, authorization, encryption, auditing, and monitoring practices., • Maintain documentation for applications, integrations, and technical processes. Vendor & Solution Evaluation • Evaluate third-party platforms, products, APIs, and vendor-proposed solutions., • Assist leadership in determining whether solutions should be developed internally, purchased, or integrated from external vendors., • Review vendor architecture, technical documentation, and implementation approaches., • Provide technical guidance and oversight for externally developed solutions. Required Qualifications • Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Information Systems or a related technical field., • 5+ years of progressive software engineering experience with demonstrated success delivering production applications, integrations, and technical solutions., • Experience with cloud platforms, including AWS, Azure, or Google Cloud., • Experience designing and developing modern web applications utilizing front-end technologies and frameworks such as React, TypeScript, JavaScript, Angular, Vue.js, HTML5, CSS3, or similar technologies., • Strong proficiency in one or more modern programming languages such as Python, Node.js, C#, Java, PHP, or similar., • Strong experience building and consuming RESTful APIs and web services., • Advanced SQL proficiency, including complex query development, stored procedures, performance tuning, data modeling, ETL/ELT processes, and relational database design., • Experience working with relational databases such as SQL Server, PostgreSQL, MySQL, or similar platforms., • Experience designing and troubleshooting integrations between multiple enterprise systems., • Strong understanding of software architecture, security, authentication, and application lifecycle management., • Experience using Git-based source control and modern software development practices., • Ability to independently research solutions, perform technical discovery, and translate business requirements into scalable technical solutions. Preferred Qualifications • Experience with AWS cloud services including Lambda, API Gateway, S3, RDS, IAM, CloudWatch, and related technologies., • Experience with Microsoft Azure and/or Microsoft Fabric., • Experience working within healthcare or other regulated industries., • Experience designing and implementing integrations between enterprise applications, third-party platforms, APIs, and cloud-based services., • Experience building workflow automation and process orchestration solutions., • Familiarity with retrieval-augmented generation (RAG), AI agents, vector databases, document intelligence, or natural language processing solutions., • Experience integrating AI services, Large Language Models (LLMs), or intelligent automation solutions into business applications and workflows., • Experience with Docker, Kubernetes, CI/CD pipelines, infrastructure automation, and cloud-native development., • Experience supporting data warehouse, analytics, or business intelligence initiatives.

Job Description Company Overview With an annual budget of $2.3 billion and more than 7,000 employees throughout the five boroughs, the New York City Department of Health and Mental Hygiene (NYC Health Department) is one of the largest public health agencies in the world, serving 8 million New Yorkers from diverse ethnic and cultural backgrounds. We're tackling a broad range of public health issues with innovative policies and programs and getting exceptional results, but our work is never finished. The breadth of our innovative programs provides the widest range of choices for every member of our team. With grant funds from the Centers for Disease Control and Prevention (CDC), the NYC Health Department is undertaking an initiative to prevent, prepare for, and respond to the expanding multistate outbreak of Influenza A/H5N1 and strengthen readiness for any respiratory disease threat with the potential to result in large, disruptive outbreaks to communities. The selected candidate will be an employee of Public Health Solutions, a nonprofit organization which is the fiscal and administrative manager of the grant but will be supervised by the NYC Health Department. This is a grant-funded position ending in January 2027 The Division of Disease Control performs identification, surveillance, treatment, control, and prevention of 90+ infectious diseases. It is one of the largest Divisions within the Health Department with seven bureaus including the Bureau of Communicable Diseases. The Bureau of Communicable Diseases is responsible for the surveillance, prevention, and control of over 70 infectious diseases, including foodborne, waterborne, respiratory, zoonotic and vector-borne diseases. Within the Bureau of Communicable Diseases, the Community Outreach and Health Education Unit is a collaborative and cross-cutting team that is in development. The team works across diseases on planning outreach and engagement with communities impacted by infectious diseases and on developing health education materials for preventing and controlling infectious diseases. Job Description The NYC Health Department has an opening for an outreach coordinator and health educator. This position will help develop and foster relationships with members of the agricultural and animal health community in NYC and develop health education materials for various public and provider audiences. They will report to the Community Outreach and Health Education Unit lead. Duties • Coordinating health education initiatives related to avian influenza and respiratory diseases, in collaboration with the Respiratory Pathogens Unit, as well as assisting with initiatives on other diseases and conditions managed by the Bureau of Communicable Diseases (BCD) including foodborne, waterborne, zoonotic and vector-borne diseases., • Arrange and conduct in-person visits to poultry markets in NYC to develop and foster relationships in order to facilitate communication with owners and staff., • Establish and foster relationships with backyard flock groups in collaboration with partners at the NYS Department of Agriculture and NYC Parks Community Garden program,, • Explore ways to engage and share information with the public and people at high risk of exposure to infected birds or animals, and people at greater risk of severe disease., • Create materials for the provider community as needed to support rapid identification and appropriate testing of patients at risk of avian influenza testing,, • Working with disease subject matter experts to develop and implement theory- and evidence-based health education materials or initiatives with a focus on populations most at-risk for zoonotic and vectorborne diseases. Materials and initiatives may include instructional activities and other strategies to change individual health behavior, as well as contributing to bureau and agency driven organizational efforts, policy directives, mass media, and community-level programs., • Collaborating with subject matter experts in BCD to maintain disease specific webpages, fact sheets, and existing health education materials for both a public and provider audience., • Developing social media proposals that promote health using innovative, targeted, and timely posts. Evaluating metrics to inform future social media posts., • Understanding and addressing cultural differences, health inequities, and disabilities when creating content and materials. Qualifications: • Undergraduate or graduate degree in field related to health education., • Previous experience working in fields related to health education., • Capacity and willingness to travel within NYC and be in the field 50% of the time., • The ideal candidate for this position must be a pro-active and self-motivated individual with the ability to work in teams and in a highly dynamic environment with multiple stakeholders and timelines. Additional Desired Qualities • Experience developing health education material and performing outreach activities., • Experience with stakeholder engagement and project management., • Ability to effectively work independently as well as collaboratively and effectively on an interdisciplinary team., • Excellent communication (verbal & written) and interpersonal skills., • Desire to grow professionally, develop new skills, and willingness to explore novel approaches., • Experience working with the public health sector and coordinating projects involving multiple stakeholders., • Ability to prioritize and work in fast-paced environment with hard deadlines., • Proficiency in Microsoft Word, Excel, Outlook, and PowerPoint., • Fluency in Spanish, Mandarin, or Arabic. Benefits: • Hybrid Work Schedule., • Generous Paid Time Off and Holidays., • An attractive and comprehensive benefits package including Medical, Dental and Vision., • Flexible Spending Accounts and Commuter Benefits., • Company Paid Life Insurance and Disability Coverage., • 403 (b) + employer matching and discretionary company contributions., • College Savings Plan., • Ongoing training and continuous opportunities for professional growth and development. Additional Information: • This is a temporary grant-funded position ending January 2027., • This individual must reside in the tri-state area (NY, NJ, CT) by their confirmed start date., • Preference may be given to individuals residing in New York City (5 boroughs) or surrounding New York State counties., • This individual will be expected to work non-business hours during emergencies. At PHS, we place immense value on diversity within our teams, understanding that varied backgrounds and experiences significantly enhance our community and propel us toward our goals. If you find you don’t have experience in all the areas listed above, we still encourage you to apply and share your background and experiences in your application. We are eager to discover how your unique perspective can bring positive transformations to our team and help advance our mission of creating healthier, more equitable communities. We look forward to learning more about you! PHS is proud to be an equal opportunity employer and encourages applications from women, people of color, persons with disabilities, LGBTQIA+ individuals, and veterans. Monday-Friday 35 Hours Per Week

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. As a Senior Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. Key Responsibilities • Serve as a resource for creating AI agents and RAG databases to solve problems. Develop AI Agent tools to automate the retrieval, wrangling, and analysis of data., • Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to prepare datasets, conduct analytics, and develop deployable solutions with guidance from more senior resources., • Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions., • Collaborate with customers and key stakeholders on initiating ideas, performing design, analysis, and process improvement., • Develop and deploy AI and ML solutions on Google Cloud Platform., • Utilize massive data sources to craft business insights and features for innovative solutions., • Understand diverse data sources, both structured and unstructured., • 9+ years of overall experience, 4+ years working as a GenAI Data Scientist., • Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git, • Machine learning and deep learning fundamentals, natural language processing (NLP), cloud computing, multi-agent systems understanding, data analysis, programming proficiency, and a grasp of ethical considerations in AI development., • Experience with agents frameworks (preferably Langchain)., • Experience with Prompt engineering- Chatbots and virtual assistants, Image generation etc., • Experience with proprietary and/or open source LLMs., • Experience in prompt engineering., • Experience with RAG and Vector Databases Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. Empowering the world starts with living _ and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. The Context Hub is a knowledge store within Oura's HealthOS platform. It ingests data from diverse sources, transforms it through both pipelines and LLM-based interpretation layers, and serves structured User Context. If Oura's intelligence systems are the brain, the Context Hub is the memory. This is an opportunity to be part of teams that are at the forefront of wearable technology, innovating and defining the future of Oura’s products through collaboration across different teams. This is a platform-building role. You'll design foundational data infrastructure that multiple product teams depend on - not ship features in isolation. • Design data transformation pipelines that convert raw health signals, user inputs, and third-party data into structured, queryable context, • Architect event-driven ingestion using tools like Kinesis, EventBridge, and SQS - handling duplicate events, traffic spikes, and partial failures gracefully, • Define flexible data models and schemas for a hierarchical health context ontology that evolves as new context types emerge, • Build multi-consumer APIs and data contracts serving LLM-powered reasoning engines, mobile apps, and analytics pipelines through clean, well-documented interfaces, • Operate and design data storage at scale, • Create SDKs and integration surfaces that let other squads contribute and own contexts with minimal friction, • Collaborate effectively in a globally distributed, diverse, and cross-functional team, adapting as Oura evolves and new opportunities emerge., • Own production quality end-to-end: testing, monitoring (Grafana, Prometheus, OpenTelemetry), alerting, and documentation At Oura, AI is a core part of how we build software. We encourage senior engineers to use tools like Cursor, Claude Code, and GitHub Copilot to accelerate pipeline development, iterate on schema design, prototype integration patterns, and reduce boilerplate - so you can focus on the hard problems. All code is reviewed and owned by the engineer. AI is a multiplier, not a crutch. We're looking for engineers who view AI as a coworker in the development loop, not just autocomplete. • 5+ years building and operating production data systems at scale in Python, • Experience designing event-driven architectures - message brokers, event streams, CDC pipelines, with understanding of delivery guarantees, fan-out, and backpressure, • Deep experience with data transformation pipelines - ingesting from heterogeneous sources, normalizing, enriching, and serving with clear data contracts, • Strong technical grasp of AWS ecosystems with a focus on varied data storage solutions (RDS, DynamoDB, etc.), asynchronous messaging (SQS, EventBridge), and scalable compute environments like EKS and Lambda., • A data-model-first mindset - you start with the shape of the data and access patterns before jumping to service architecture, • Experience building shared platforms or APIs that multiple teams depend on, with thoughtful versioning and self-service integration patterns, • Strong systems design instincts - you think in terms of data integrity, resilience, and failure modes before they become incidents, • Excellent communication - you explain your thinking before acting, ask incisive questions upfront, and articulate trade-offs clearly, • Have a team-oriented mindset and enjoy working in a diverse environment with distributed teams, • Experience with FastAPI or AWS Lambda Powertools, • Background in health data, wearables, or familiarity with FHIR/SNOMED/ICD, • A privacy-first approach to engineering, with a solid understanding of the best practices for handling sensitive data (PHI/PII)., • Building infrastructure that feeds data to/from LLM-powered services, • Familiarity with feature stores, embeddings, or vector databases, • Experience in building efficient, scalable database schemas and/or query optimization, • Infrastructure-as-code (AWS CDK, Pulumi), • Observability tooling: Grafana, Prometheus, OpenTelemetry, • Experience in globally distributed teams working asynchronously across time zones, • Commitment to continuous learning. You’re someone who stays adaptable and is always looking to expand your technical toolkit as the industry evolves. At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health. What we offer: • Competitive salary and equity packages, • Health, dental, vision insurance, and mental health resources, • An Oura Ring of your own plus employee discounts for friends & family, • 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off, • Paid sick leave and parental leave Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future. • Region 1 $172,550 - $203,000, • Region 2 $158,950 - $187,000, • Region 3 $147,900 - $174,000 A recruiter can determine your Region based on your US location. We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI). Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Disclaimer: Beware of fake job offers! We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note: • Our jobs are listed only on the ŌURA Careers page and trusted job boards., • We will never ask for personal information like ID or payment for equipment upfront., • Official offers are sent through Docusign after a verbal offer, not via text or email. Stay cautious and protect your personal details. To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.

About Niyam IT (Niyam) Niyam IT was founded in 2007 by a group of consultants who shared a unique vision: a technology company steeped in orderly process yet driven by passion and innovation. Over the following decade, we fine-tuned our craft and built an impressive track record of successful outcomes, securing our reputation as the go-to provider of smart, innovative solutions. Today, Niyam is at the forefront of the industry, leading the way in crafting mission-critical technologies for Emergency Preparedness & Response, Natural Resource Management, Law Enforcement & Justice, Health IT, and Global Citizen Services. What We Offer: • Flexible Work Hours: Life doesn’t always fit into a 9-to-5 schedule. We offer flexibility to help you manage your work-life balance effectively., • Remote Work: Niyam IT understands the value of flexibility. We offer remote work., • Career Growth: Niyam IT is not just a job; it’s a career journey. We provide a supportive environment for your professional development and offer fully paid opportunities for training and advancement within the company., • Great People: Our people are the blueprint of who Niyam IT is to the industry and community., • Great Environment: Niyam IT fosters a great environment where innovation, collaboration, and personal growth thrive., • Diversity & Inclusion: We believe in the strength of diverse perspectives. Your unique ideas are welcomed and celebrated every day at Niyam IT. Join us in creating a workplace where innovation, diversity, and well-being thrive. Your journey at Niyam IT awaits. Apply today! Niyam is seeking a Senior GIS Developer to join our team in support of our work with a federal client. We offer competitive compensation and benefits. This full-time position allows for remote work. Roles and Responsibilities • Lead the design and development of scalable, modern JavaScript web applications using frameworks such as React, NextJS, ExtJS and OpenLayers., • Provide advanced troubleshooting and root cause analysis for complex GIS and non-GIS application issues, driving timely and effective resolution., • Architect, implement, and optimize end-to-end CI/CD pipelines to support efficient, secure, and reliable application delivery., • Design and oversee the development of automated testing frameworks to ensure high-quality, resilient GIS applications., • Develop and maintain robust Java-based RESTful web services integrating both relational and geospatial data sources., • Develop, deploy, and maintain mobile applications across iOS and Android platforms using modern frameworks such as React Native, Swift, ensuring seamless integration with Esri ArcGIS geospatial services., • Knowledge in PostgreSQL/PostGIS, including spatial data manipulation and advanced geospatial queries, • Hands-on experience in developing applications in AWS environment, • Evaluate technical solutions and provide strategic recommendations, technical assessments, and detailed reports to stakeholders and leadership., • Author and review comprehensive technical designs, code documentation, and standard operating procedures to support maintainability and scalability., • Lead and actively contribute to Agile Scrum processes, including mentoring team members and conducting thorough peer code reviews., • Oversee configuration, administration, and performance optimization of ArcGIS platforms and related geospatial systems., • Champion best practices in application security, code quality, and performance, driving continuous improvement across the development lifecycle. Qualifications and Education Requirements: • US Citizenship with ability to obtain a Public Trust., • Bachelor’s degree in Computer Science, Information Systems, or related field with a minor or proven technical training in Geographic Information Systems., • Ten (10) or more years of relevant GIS software development, including user authenticated web mapping applications with analytical and query components and tools for processing, migrating, or producing GIS data., • 7+ years of experience in Java Development, with a strong focus on building and maintaining RESTful services in enterprise environments., • Extensive experience with geospatial technologies including ArcGIS Server, ArcGIS Desktop/Pro, ArcPy, ESRI File Geodatabases (FGDB), PostgreSQL/PostGIS, and Oracle Spatial/Geospatial datasets., • Strong expertise in implementing and optimizing vector tile services and working with GeoServer and/or MapServer in enterprise environments., • Advanced proficiency in designing and executing complex spatial and relational queries for high-performance data processing and analysis., • Demonstrated ability to analyze, refactor, and modernize legacy codebases while ensuring continuity of operations and improved system performance., • Deep experience troubleshooting application and system logs, conducting root cause analysis, and resolving complex performance and scalability issues., • Proven ability to communicate effectively with technical and non-technical stakeholders, including delivering clear technical guidance and documentation. Preferred Skills: • Master's Degree in Computer Science, Information Systems, or related field., • Experience developing front-end applications using ExtJS within geospatial solutions., • Familiarity with Microsoft IIS and development experience with C#/.NET in enterprise environments., • Working knowledge of the ESRI ArcGIS JavaScript API and modern web-based GIS application development. Application Deadline: This position will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. Niyam IT, Inc. is an Equal Opportunity (“EEO”) Employer. All qualified applicants will receive consideration without regard to race, color, creed, religion, sex, sexual orientation, gender identity, pregnancy, marital status, partnership status, age, citizenship status, veteran or military status, medical condition, genetic information, national origin, disability, unemployment status or any other characteristic prohibited by federal, state and/or local laws. If you require a reasonable accommodation due to a disability to complete your application, or if you face challenges using our online application system and need an alternative way to apply, please reach out to us at +1 703.429.2450 or email hr@niyamit.com.