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Recruitment Incentive: Applicants may be eligible for a $40,000 recruitment incentive in accordance with regulatory requirements. Click apply for complete details on the recruitment incentive details and eligibility. At their core, those who join the Secret Service are courageous, intelligent, strong and determined. A diverse team capable of balancing our investigative mission and fulfilling our protective legacy. Proven to be worthy of trust and confidence. Be tomorrow's Secret Service. During the course of their careers, special agents carry out assignments in both investigations and protection and may be assigned to multiple duty stations throughout the U.S. and abroad. Duties include: • Providing protection for various protectees., • Conducting criminal investigations pertaining to financial obligations of the United States., • Planning and implementing security designs for National Special Security Events. This is no ordinary job, and our special agents are no ordinary individuals. Show us you have the talent and background we need, and we'll show you the rewards that come with being a special agent in the U.S. Secret Service. We invite you to become part of our elite team. Explore a career that will take you to new heights while you serve your country with honor, distinction and pride. Requirements • U.S. citizenship is required, • Possess a current valid driver's license, • Carry and use a firearm. Maintaining firearm proficiency is mandatory., • Be at least age 21 at the time of application and less than age 37 at the time you receive a conditional offer of employment, unless you have previous service in a Federal Civilian Law Enforcement position covered by special law enforcement or firefighter retirement provisions, including early or mandatory retirement. Applicants with veteran's preference must receive a conditional offer of employment prior to reaching age 40 to continue in the application process., • You must obtain a Top Secret Clearance and retain it during your career., • Possess uncorrected visual acuity of no worse than 20/100 binocular, possess corrected visual acuity of 20/20 or better in each eye., • Hearing loss, as measured by an audiometer, must not exceed 25 decibels (A.S.A. or equivalent I.S.O.) in either ear in the 500,1000 and 2000Hz ranges., • Submit to a drug test prior to your appointment and random drug testing while you occupy the position., • Complete 13 weeks of intensive training at the Federal Law Enforcement Training Center(FLETC) in Glynco, GA and 18 weeks of specialized training at the James J. Rowley Training Center in Laurel, MD., • Sign a mobility agreement stating your willingness to accept assignments anywhere within the United States and overseas., • Certify that you have registered with the Selective Service System or are exempt from having to do so, if you are a male applicant born after December 31, 1959.

ROLE SUMMARY: - Design, configure, deploy, and support ServiceNow Customer Service Management (CSM) solutions. - Translate business requirements into scalable applications with robust reporting and governance. RESPONSIBILITIES: - Lead end to end CSM implementations from discovery through deployment and hyper care. - Configure core CSM: case management, SLAs/entitlements, knowledge, portals/communities, omnichannel intake. - Build reports and Performance Analytics dashboards with KPIs, indicators, and scheduled reporting. - Automate workflows using Flow Designer, IntegrationHub, Business Rules, Client Scripts, Script Includes, Glide APIs. - Integrate systems via REST/SOAP; implement secure auth (OAuth2, API keys) and SSO (SAML/OIDC). - Manage data imports/transforms, data quality rules, and align models with legacy Siebel CRM System. - Enforce platform security and governance: ACLs, roles, RBAC, update sets, source control, environment promotion. - Optimize performance and reliability; troubleshoot incidents/problems and perform root cause analysis. - Drive quality assurance (ATF, unit/UAT plans), release notes, upgrades, and regression testing. - Produce documentation (design specs, runbooks) and deliver stakeholder training. REQUIRED QUALIFICATIONS: - ServiceNow certification: CIS CSM (Customer Service Management). - 4 6 years hands on ServiceNow admin/development; 2 full CSM implementations. - Platform expertise: configuration/customization across CSM/CRM; Flow Designer, IntegrationHub, Business Rules, Client Scripts, Script Includes, Glide APIs. - Reporting and Performance Analytics: KPIs, indicators, widgets, dashboards, scheduled reports, scorecards. - Security and governance: ACLs, roles, data policies, encryption, update sets, source control, CI/CD promotion practices. - Architecture and data: SaaS/multi tenant concepts; data modeling; CMDB relationships; familiarity with CSDM. - Integrations: REST/SOAP, webhooks; JSON/XML; auth via OAuth2 and SAML/OIDC. - Delivery excellence: ATF, versioning, release/change management, documentation. - Education: Bachelor's in CS/IS/Engineering or equivalent experience. - Professional skills: analytical problem solving, reliable follow through, deadline ownership, independent work, and cross team collaboration. PREFERRED / NICE TO HAVE: - Service Portal, Virtual Agent, Workforce Optimization, Communities for CSM. - Integrations with ITSM, Field Service, CRM, or contact center platforms. - CI/CD (Azure DevOps/Jenkins) and Git for update sets/source control. - Security/compliance awareness (e.g., SOC2, ISO 27001). - Jira/ADO for backlog management; Confluence for documentation. SUCCESS INDICATORS (6 12 MONTHS): - Production ready CSM implementation improving case resolution time and CSAT. - Role based dashboards and PA KPIs live for operations and leadership. - Established governance (coding standards, ACL model, CI/CD flow) with reduced platform incidents. Must be ServiceNow Certified Implementation Specialist Customer Service Management (CIS CSM) Customer Service Management (CSM)

Position: Project Management Technical – Decisioning Location: US- Remote Duration: 2+ year Contract Pay range: $53-$58/hour on W2 Job ID: 177311 Job Overview: Role Purpose: Become part of a team that is responsible for interpreting business requirements and translating them into Decisioning solutions. Intake Decisioning requirements from various business units and translate into decisioning logic used to present relevant and eligible offers to customers. Responsible for testing changes to decisioning logic/strategy and interfacing with various development teams regarding requirements and defect fixes. Role will require in-depth knowledge of Pega 23' or greater CDH Decisioning capabilities, business strategy, customers/agent experiences, products/offers, and IT systems. Will need to translate business ‘vision’ into thorough business requirements while managing project scope/deliverables end-to-end. Acts as the 'business stakeholder' on behalf of the stakeholders when working with IT. Key Responsibilities: Work closely with teammates to determine process improvements related to client’s Pega decisioning platform and governance process. Maintain process flow documentation for Pega decisioning logic changes from ideation to production through Share Point and project management systems like Asana. Consolidate information and present it to senior management in a clear and concise manner. Understand and effectively communicate business requirements of projects to Technology teams and be able to assess whether the technical delivery will meet the business requirements. Execute testing of decisioning system changes implemented by Tech Dev (UAT). Other Responsibilities: Translate Marketing offer strategy into decisioning logic based on customer attributes and customer intent. Develop and build decisioning logic to meet Marketing offer strategy requirements Document and maintain development standards for ongoing decisioning logic changes Create test cases for iterations of Marketing offers strategy via decisioning Execute and validate test cases (UAT and Regression), identify defects and investigate failures to help uncover appropriate solutions. Maintain and execute regression testing of the decisioning system to ensure consistent quality Create PowerPoint documentation to help explain project changes to the business Skills: In depth Understanding of Pega Decisioning In depth understanding of IT (Agile and Waterfall methodologies) Knows how write business requirements Oral and written communication skills Ability to influence Ability to manage, facility, and lead a project/team Knowledge of business structures/stakeholder analysis Self-Starter Organized Flexible/Adaptable Detailed oriented Team Player Required Qualifications and Education: Bachelor’s Degree in computer science, information systems, data science or other technical area and 5 plus years of Marketing Technology or related, relevant Technical experience. Experience or strong knowledge of Pega CDH. Strong problem-solving and analytical skills, including a qualitative and quantitative skill set. ·Familiar with marketing database, digital and orchestration technologies ex. Adobe, Pega, Unica. These technologies will be leveraged when executing marketing offer strategy via decisioning logic. Familiar with SQL, SAS, or similar data analysis language. Data analysis is required to validate decisioning logic transactions and identify trends or potential issues with the logic strategy. Familiar with programming languages and logic development ex. C, Java, PHP. Background in programming concepts and algorithms will be essential when translating the offer strategy into decisioning logic. Experience with Retail or Call Center CRM systems. Offers are presented in CRM systems such as Oracle, Salesforce, and Clarify. Knowledge of these systems is needed to confirm the decisioning logic is executing and presenting as expected. Proficient with reading and understanding XML transactions. XML transactions are leveraged to simulate the decisioning logic via API request with variable attributes. The subsequent XML responses are evaluated to confirm the logic is executing as expected and the correct offers are presented. Experience in Agile methodology. Experience in creating and documenting business requirements. Experience working with cross-functional teams within Marketing, Sales, Customer Care, Finance, IT, etc. Demonstrated ability to analyze complex issues and design appropriate solutions. Ability to manage heavy workload, accommodate change and adapt accordingly. Experience delivering results in a fast moving, challenging environment. Excellent communication skills, including ability to tailor communication to audience to achieve desired results. Proficiency in standard MS Office applications. Occasional travel required. (up to 5%) Additional Information: The environment is positive and provides the opportunity for team and individual contributions. Client is based out of west coast (El Segundo, CA). Typical hours are Monday to Friday 8.00 to 5.00 PST 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: $53 - $58/hour on W2 The specific compensation for this position will be determined by several 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 PTO, sick leave, and other benefits mandated by applicable 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

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

Immediate need for a talented Product Reliability Engineering Lead . This is a 12+ Months Contract opportunity with long-term potential and is located in US (Remote-CST) . Please review the job description below and contact me ASAP if you are interested. Job ID:26-15460 Pay Range: $85 - $95/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: Define and lead the reliability strategy for the Acquisition Platform, ensuring alignment with product, platform, and enterprise goals. Establish SLOs, SLIs, and error budgets that tie reliability targets to business outcomes and partner expectations. Shift reliability requirements into early design and development phases so resiliency, failover, and graceful degradation are architected in, not bolted on. Design reliability patterns across platform services, APIs, workflows, and dependent systems both internal and external. Architect end to end observability across the platform including metrics, structured logging, distributed tracing, and alerting. Establish monitoring standards and dashboards that provide real time visibility into platform health, partner facing services, and integration dependencies. Embed observability into platform services from design through deployment so teams can detect, diagnose, and resolve issues rapidly. Drive adoption of synthetic monitoring and canary deployments to validate production behavior proactively. Collaborate closely with the Acquisition delivery team and stakeholders to align outcomes with the reliability strategy. Partner with AMS, infrastructure, and other tech teams to ensure clear ownership boundaries and smooth operational handoffs. SRE principles – SLOs, SLIs, error budgets, toil reduction, blameless postmortems Observability design – distributed tracing, APM telemetry, structured logging, real time alerting, synthetic monitoring Resilience and fault tolerance – circuit breakers, bulkheads, retry/backoff, graceful degradation, failover validation Chaos engineering and reliability testing – fault injection, load/stress testing, failure mode analysis CI/CD reliability integration – automated reliability gates, canary deployments, feature flags, progressive rollouts AI assisted reliability techniques – anomaly detection, predictive alerting, prompt driven runbook automation, agent based remediation Responsible AI use – including consideration of security, data exposure, and operational risk Cloud native operations – containerized platforms, event driven architectures, infrastructure as code Growth oriented mindset – ability to think beyond constraints of today and identify what is required to build the future Excellent communication skills – ability to translate reliability concerns between engineering, product, and business teams Key Requirements and Technology Experience: Must have skills: - Site Reliability Engineering (SRE), AWS Cloud (EKS/ECS/Lambda), Observability & Monitoring (Prometheus/Grafana/Datadog/Splunk), Kubernetes & CI/CD Automation, Chaos Engineering & Reliability Testing, SLO/SLI/Error Budget Management 5+ years of experience in site reliability engineering, platform engineering, or production operations roles Experience defining and operating SLO/SLI frameworks tied to business outcomes Hands on experience designing observability for distributed, API driven platforms Experience with reliability and resiliency testing including chaos engineering and fault injection Experience guiding and mentoring engineers on reliability practices Enterprise scale delivery experience with both onshore and offshore cross functional teams Direct experience applying Agile methodologies in product centric delivery models AWS operational experience – CloudWatch, X Ray, Fault Injection Simulator, ECS/EKS, Lambda, EventBridge Experience integrating reliability practices with DevSecOps and CI/CD pipelines Familiarity with AI/ML driven operations tools and incident management platforms Our client is a leading Insurance Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here .

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.

Salesforce Lead/Architect Must be available in CST or EST working hours Remote Role Pay rate range : $55/hr - $65/hr. W2 Strong Agentforce and Data Cloud experience is a Must to have Agentforce Certified Nice to have. Role Overview We are looking for a highly skilled Salesforce Lead with strong expertise in Salesforce platform development, AI-powered agentic systems, and solution prototyping. This role requires a combination of hands-on technical development and business consulting capabilities. The ideal candidate will work closely with stakeholders to understand business needs, design intelligent agent-driven solutions, and rapidly build prototypes demonstrating how AI agents can improve productivity and business outcomes. This position is ideal for someone who understands both the Salesforce ecosystem and emerging AI/agentic architectures, including Agentforce 2.0, MCP architecture concepts, and enterprise AI integrations. Key Responsibilities Business & Solution Consulting Partner with business stakeholders to understand functional requirements, pain points, and transformation opportunities. Translate business needs into scalable Salesforce and AI-enabled solutions. Lead discovery workshops and define solution approaches for agent-driven workflows and automation. Build rapid prototypes and proof-of-concepts demonstrating how AI agents can improve user productivity and customer experiences. Provide strategic recommendations on Salesforce platform capabilities and AI adoption. Salesforce Platform Leadership Design and develop scalable solutions on the Salesforce platform. Lead hands-on development across: Apex Lightning Web Components (LWC) Salesforce Flows Integrations and APIs Platform Events Drive architecture and technical design decisions for enterprise Salesforce implementations. Ensure best practices around performance, scalability, security, and maintainability. AI / Agentforce Responsibilities Design and implement Agentforce 2.0 solutions and intelligent agent experiences. Build agentic workflows leveraging Salesforce AI capabilities and external AI systems. Understand and apply MCP architecture concepts and modern AI orchestration patterns. Collaborate on AI-enabled use cases involving: Conversational agents Workflow automation Knowledge retrieval Productivity enhancement Autonomous task execution Evaluate and integrate AI technologies into Salesforce ecosystems. Technical Leadership Mentor developers and provide technical guidance across the Salesforce stack. Lead code reviews and enforce development standards. Collaborate with architects, product managers, and business teams. Drive innovation and continuous improvement initiatives. Epik Solutions is an Equal Opportunity Employer. All qualified applicants are encouraged to apply and will receive consideration for employment. All employment decisions at Epik are based on business needs, job requirements and individual qualifications and merit, without regard to race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, parental status, military service, or any other status protected by applicable law or regulations. Epik participates in the E-Verify program.

Account Executive - Remote A Company Committed to Your Success: Nowhere else in America will you find a better opportunity to enjoy personal satisfaction and professional achievement... because nowhere else in America will you find a company that is more committed to your success than USHA. You will work directly with Americas self-employed, small business owners and individuals to help them access a product suite of affordable benefits and business services. As demands for our products continue to increase, our Account Executives will advise clients on a portfolio of solutions that best fits their individual needs and budget... in one seamless package. We provide service that is fast, fair, and caring. Because the only thing better than delivering a superior product, is seeing the difference it makes in the lives of our customers. Our Mission: Helping Other People Everyday (HOPE) is more than a clever acronym for the people of USHA. For them, it is a mission that is lived on a daily basis; an organization wide commitment to make a positive difference in the lives of others. We're Growing! Our clients are looking for viable alternatives to their current benefit programs and as a result of current economic conditions, the demand for our products and services has never been greater! Career Benefits: Fast Track Career Advancement Based on Your Hard Work (promote within 1-2 years) State-Of-The-Art Training Platforms (we'll train you) Multiple Product Lines - Extensive Portfolio Industry Leading Compensation and Rewards Programs $75k - $125k (DOE\DOP) Monthly and Quarterly Bonuses (up to 16 bonuses per year) Performance and Growth Sharing Bonuses in the company you're helping to build Long Term Wealth Building Opportunities Career Development and Mentorship from Servant Leadership Relaxed Flexible Work Environment (we are fun and family) USHA Checks All the Career Boxes: Job Security in a Recession Proof Industry Industry Leading Compensation and Rewards Programs Leadership Development and Rapid Career Advancement Meaningful Work with our Mission of HOPE Coaching and Mentorship from Servant Leadership Safe and Clean Work Areas Remote Work Opportunities Inclusive and Diverse Teams Flexible and Fun Work Environment Advanced Support and Training: Our success depends on your success, that's why we have a super-responsive team of experts making sure every Account Executive has everything they need to be at the top of their game. Real support means real leadership backing you up. You'll be armed with the tools and know how to best serve clients and take your career to the next level. In the classroom, online and in the field, our most accomplished business leaders will teach you their most successful formulas and execution strategies that directly lead to success. Account Executive Essentials: Accountable and Coachable Team Player A Passion for Helping Other People Everyday Computer and Internet Savvy (CRM helpful) Excellent Verbal and Written Communication Skills Commitment to Excellence High Personal Integrity and Character Good Work Ethic, Self-Motivation About USHA - Over 50 Awards For Business Excellence in Just 9 Years!!! Nowhere else in America will you find a better opportunity to enjoy personal satisfaction and professional achievement... because nowhere else in America will you find a company that is more committed to your success than USHA. You will work directly with Americas self-employed, small business owners and individuals to help them access a product suite of affordable benefits and business services. As demands for our products continue to increase, you will advise clients on a portfolio of solutions that best fits their individual needs and budget... in one seamless package. We provide service that is fast, fair, and caring. Because the only thing better than delivering a superior product, is seeing the difference it makes in the lives of our customers. Our Mission: Helping Other People Everyday (HOPE) is more than a clever acronym for the people of USHA. For them, it is a mission that is lived on a daily basis; an organization wide commitment to make a positive difference in the lives of others. Account Executive position is also relevant to job seekers with various work experiences such as: Business Manager Finance Marketing Banking Regional and Territory Sales Office Appointment Setter Tele Teacher Support Customer Service Real Estate and Auto Sales Pharm Sales Retail Educators Graduates Agent Financial Services Assistant Leasing Accountant Coordinator Representative Transitioning Military Personnel Business Graduates Leasing and Loan Services

Role :- Contact Center Architect Remote Job Type: C2C/W2/1099 This is Contract to Hire role so need only visa independent candidates As per the latest requirement update, we are specifically looking for candidates who are either former Amazon employees or were recently laid off from Amazon. Please prioritize and share suitable profiles accordingly. Role Summary We are seeking a hands-on, business-savvy Contact Center Architect to own the end-to-end design of our healthcare contact center on Amazon Connect, spanning member, provider, and self-service experiences. This is not a back-room engineering role. The person we are looking for is the connective tissue between the business and IT — a trusted advisor who can sit with operations, product, compliance, and member-experience leaders, understand what they are truly trying to achieve, and translate that into a resilient, secure, measurable technical architecture that the development teams can build with confidence. The ideal candidate is a genuine “jack of all trades”: equally comfortable whiteboarding a contact flow with a business sponsor, debating IAM and PHI handling with seacurity, and pairing with developers on a Lambda integration. Above all, they earn trust quickly on both sides of the house — the business believes this person understands their world, and IT believes this person understands theirs. What You Will Own Business Partnership & Discovery (the bridge role) Drive the conversation with the business — lead working sessions with operations, member/provider experience, product, and compliance stakeholders to surface goals, pain points, and the “why” behind every requirement. Bridge business and IT — translate business intent into clear technical requirements for development teams, and translate technical constraints and trade-offs back into language the business can act on. Earn and keep trust — act as the single, credible point of contact who both sides rely on; embrace the customer's perspective and represent it faithfully throughout delivery. Facilitate decisions — run design reviews, build consensus across competing priorities, and keep initiatives moving without losing either business value or technical integrity. Contact Center Architecture (Amazon Connect) Own the end-to-end architecture of the Amazon Connect contact center across member, provider, and self-service journeys. Design IVR / IVA and contact flows, routing strategies, queueing, and omnichannel (voice, chat, callback) experiences optimized for self-service and containment. Architect caller authentication and identity flows — including data-driven verification, integration with member/provider systems of record, and secure handling of PHI/PII. Design conversational self-service using Amazon Lex, Polly, and Transcribe, with a clear strategy for deflection, containment, and graceful escalation to agents. Drive modernization from legacy contact center platforms (e.g., Avaya, Genesys) where applicable. Development & Integration Oversee integration with healthcare enterprise systems — core administrative/claims platforms, member and provider data, CRM (Salesforce, ServiceNow), and third-party identity or eligibility services. Architect serverless, event-driven solutions using AWS Lambda, API Gateway, DynamoDB, S3, and Kinesis. Partner hands-on with developers — set design standards, review implementations, and unblock the team rather than throwing designs over the wall. Security, Compliance & Governance (Healthcare) Design for HIPAA and PHI/PII protection — define IAM, encryption (in transit and at rest), least-privilege access, and audit/logging controls appropriate to a regulated healthcare environment. Ensure compliance with organizational and regulatory standards; conduct design reviews and risk assessments. Operations & Optimization Establish monitoring, logging, and alerting (e.g., CloudWatch) and define the KPIs that matter — authentication rate, self-service / containment rate, average handle time, and deflection. Lead root-cause analysis and continuous improvement; turn contact center analytics into prioritized action. Apply Infrastructure as Code (CloudFormation / Terraform) and CI/CD practices for repeatable, reliable deployments. Required Experience & Skills Experience 10+ years of overall IT experience, with a track record of delivering customer-facing solutions. 4–6+ years in AWS cloud / solution architecture. 3+ years hands-on with Amazon Connect in production environments. Healthcare contact center experience is required — direct exposure to member, provider, and self-service journeys (payer, provider, PBM, or health-services setting). Demonstrated experience improving authentication, self-service, and/or containment metrics in a contact center. Technical Skills Amazon Connect ecosystem: Connect, Lex, Polly, Transcribe, Contact Lens. AWS services: Lambda, API Gateway, DynamoDB, S3, Kinesis, Redshift, Athena. IVR/IVA design, telephony, and CTI integration. Caller authentication / identity verification patterns and secure PHI/PII handling. CRM and enterprise integration (Salesforce, ServiceNow, and healthcare core systems). Infrastructure as Code (CloudFormation / Terraform), CloudWatch, and CI/CD. Communication & Leadership (critical to this role) Communication is as important as technical depth for this position. This person spends as much time in front of business stakeholders as in architecture diagrams, and will be evaluated on their ability to build trust and alignment across very different audiences. Exceptional verbal and written communication — able to explain complex technical concepts simply to non-technical stakeholders, and to capture business needs precisely for technical teams. Strong facilitation, stakeholder management, and consensus-building skills. Credibility and presence to be trusted by both business leaders and engineering teams. Analytical, problem-solving mindset with a bias toward measurable outcomes. Leadership and mentoring capability for development teams. Preferred Qualifications AWS Certified Solutions Architect (Associate or Professional). Experience with conversational AI / chatbot and virtual-agent design. Familiarity with healthcare data and interoperability standards (e.g., HIPAA, HL7/FHIR) and eligibility/benefits flows. Experience with analytics and reporting tools such as QuickSight and Contact Lens for contact center performance.

Vice President of Technology At Percepta, we bring first-class service across each market we support. As Vice President of Technology in the United States (fully remote), you’ll be a part of creating and delivering amazing customer experiences, while also enjoying the satisfaction of being part of a unique culture What You’ll Be Doing This is a rare opportunity to join Percepta's Executive Leadership Team as Vice President of Technology at a defining moment in the company's evolution. Automotive CX is being reshaped by electric vehicles, connected mobility, AI-driven service delivery, and the rising demand for frictionless omnichannel experiences — and Percepta intends to lead that transformation for its clients. The VP of Technology will architect a fully business-aligned technology strategy — ensuring that every platform, tool, and capability deployed directly enables exceptional client outcomes, operational scale, and long-term competitive differentiation. This is not a purely technical role. It is a business leadership role that requires deep technology fluency. During a Typical Day, You’ll Technology & Business Strategy Own and evolve a technology roadmap fully aligned to Percepta's business strategy, client SLAs, and growth targets Serve as a strategic partner to Operations, Client Services, HR, and Finance — ensuring technology investments deliver measurable business outcomes Lead digital transformation across contact center operations, including automation, AI, self-service, and advanced analytics Translate complex client requirements into scalable, cost-effective, and repeatable technology solutions Contact Center & CX Technology Lead deployment and optimization of contact center platforms: ACD, IVR, WFM, CRM, and omnichannel tools Enable seamless omnichannel engagement across voice, chat, email, social, and emerging messaging channels Champion AI-driven capabilities include chatbots, agent assist, speech analytics, and robotic process automation (RPA) Partner with Operations to measurably improve agent productivity, quality, and customer satisfaction Technology Delivery & Global Operations Lead deployment and optimization of contact center platforms: ACD, IVR, WFM, CRM, and omnichannel tools Enable seamless omnichannel engagement across voice, chat, email, social, and emerging messaging channels Champion AI-driven capabilities include chatbots, agent assist, speech analytics, and robotic process automation (RPA) Partner with Operations to measurably improve agent productivity, quality, and customer satisfaction Client Partnership & Revenue Enablement Lead deployment and optimization of contact center platforms: ACD, IVR, WFM, CRM, and omnichannel tools Enable seamless omnichannel engagement across voice, chat, email, social, and emerging messaging channels Champion AI-driven capabilities include chatbots, agent assist, speech analytics, and robotic process automation (RPA) Partner with Operations to measurably improve agent productivity, quality, and customer satisfaction Information Security & Compliance Lead enterprise cybersecurity strategy across distributed, global operations Ensure compliance with client-specific security requirements including PCI-DSS, GDPR, and applicable frameworks Maintain robust disaster recovery and business continuity capabilities for all contact center environments Financial & Commercial Stewardship Own technology P&L input, budgeting, and cost optimization with a clear lens on client profitability and margin contribution Manage a complex vendor ecosystem spanning telecom, cloud, CX platforms, and outsourced technology partners Align all technology investments with measurable commercial outcomes and long-term enterprise value People Leadership & Culture Build, develop, and inspire high-performing, globally distributed technology teams Foster a culture of innovation, psychological safety, agility, and operational excellence Invest in the growth of your people as a genuine leadership priority — not an afterthought Model Percepta's values in every interaction: with your team, your peers, and your clients What You Bring to the Role · Bachelor's degree in Information Technology, Computer Science, or related field required · Master's degree (MBA or technical) preferred — equivalent experience considered · 12+ years of progressive technology leadership, with significant experience in a VP or equivalent executive role · Deep experience in digital transformation, cloud technologies, and enterprise platform modernization · Experience in a BPO, CX, services, or managed services environment with a clear understanding of how technology enables operational performance · Experience operating in a joint-venture or multi-stakeholder organizational structure preferred · Exposure to automotive, mobility, or adjacent industries preferred · Proven success leading globally distributed technology teams in a complex, multi-client environment · Strong background in contact center or CX technology: ACD, WFM, IVR, CRM, omnichannel, AI/ML · Demonstrated ability to align technology strategy to business strategy, client outcomes, and financial performance · Track record of leading through influence, building collaborative relationships, and developing technology talent · Exposure to automotive, mobility, or adjacent industries preferred · Familiarity with emerging mobility technology: EV platforms, telematics, connected vehicle applications is preferred What You Can Expect · Competitive Salary with Incentives · Health/Dental/Vision/Life Insurance · Flexible Spending Account (FSA) and Health Savings Account (HSA) · 401(k) · Vacation/Sick Time and Paid Holidays · Tuition Reimbursement · Employee Assistance Program · Employee Discount Program · Training and Development Programs (Percepta College) · Employee Rewards Program (Perci Perks) A Bit More About Your Role Percepta provides the equipment for this role. About Percepta Established in 2000 as a joint venture with TTEC, Percepta has specialized in creating customer loyalty to its clients across the globe. Delivered in multiple channels, speaking multiple languages, we bring first-class service across each market we support. Our values are the heartbeat of our organization, and we live, breathe, and play by them daily. At Percepta, we: Lead with humility – We listen first, lead with empathy, and stay grounded—so people and ideas have room to grow. Service beyond self – We serve others—clients, customers, and teammates—with care and integrity in every interaction. Leave it better – We take ownership and leave every process, person, and place better than we found it. Win together – We succeed as one—celebrating, supporting, and showing up for each other. Deliver remarkable – We go beyond expectations to create bold, meaningful moments that stand out. Percepta is proud to be an equal opportunity employer where all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Percepta embraces and is committed to building a diverse and inclusive workforce that respects and empowers the culture and perspectives within our global teams. We strive to reflect the communities we serve by not only delivering amazing service and technology, but also humanity. We make it a point to make sure all our employees feel valued and comfortable being their authentic selves at work. As a global company, we know diversity is our strength. It enables us to view projects and ideas from different vantage points and allows every individual to bring value to the table in their unique way. #LI-remote Percepta requires all employees hired in the United States to successfully pass a background check and depending on location and client program a drug test, as a condition of employment. Percepta is an Equal Opportunity Employer.

Overview We’re looking for a Staff Marketing Technology AI Platforms Manager to join Intuit’s Marketing Futures Team, a group embedded in our broader marketing organization tasked with defining, piloting, and scaling AI‑enabled and future‑oriented marketing capabilities. You will be the team’s rapid prototyper and technical builder, creating AI‑infused marketing tools, platforms and capabilities to deliver the promise of AI to our users with bespoke experiences at scale. You’ll facilitate technical integration with Content Management Systems, Customer Data Platforms, and Advertiser platforms, and work closely with engineering partners to ensure pilots are production‑ready. We are looking for a seasoned AI-first MarTech builder with a passion for customer-first marketing who is an avid learner, experimenter, and builder ready to ship fast and prove what’s possible. Responsibilities Rapidly prototype AI‑infused marketing tools and experiences: agentic workflow automation, atomic content generation & assembly, dynamic landing page generators, GPT‑based chat interfaces, predictive audience orchestration and more. Build and iterate on marketing MVPs using Python, Integrated Development Environments (e.g., Cursor, Windsurf, Claude Code), and generative AI frameworks. Own the MCP and API integration layer for Marketing Futures. Design, build, and operate custom MCP servers that expose Intuit's marketing data and actions (campaign performance, audience segments, creative assets, CMS content, CDP profiles, ad spend, search and GEO signals) to 3P and internal agentic systems. Define the schemas, authentication patterns, rate limiting, and observability that make these servers safe for production use. Wrap legacy APIs and fragmented vendor SDKs (SA360, Google Ads, Meta Ads, Adobe, and first party Intuit services) into clean, agent consumable tool interfaces so marketers and agents can operate against a single source of truth instead of swivel chairing between platforms. Lead the engineering of a scalable AI agent ecosystem, implementing Agent-to-Agent (A2A) protocols for multi-agent orchestration and developing custom MCP connectors for Slack, Google Workspace, Databricks, AWS, GCP and 1P platforms/services to bridge fragmented marketing workflows into a centralized, high-concurrency automation platform Facilitate technical integration between Marketing Futures pilots and production systems: CMSs (Content Management Systems), CDPs (Customer Data Platforms), ad platforms (Google Ads, Meta Ads), internal APIs. Design and execute A/B testing frameworks for AI‑enhanced marketing experiences; measure and report on performance lift, conversion impact, and efficiency gains. Develop automation scripts and workflows that reduce manual effort in campaign operations, creative production, and reporting. Partner with product, engineering, data science, and product teams to evaluate emerging AI tools and ensure marketing pilots meet technical standards for scalability and security. Build internal tools and prototypes that demonstrate the value of AI‑driven workflows, supporting the team’s evangelism and adoption efforts. Contribute to internal prompt libraries, technical documentation, and training materials that enable the broader marketing org to leverage AI tools independently. Qualifications 6-8 years of experience in marketing technology, data engineering, or a hybrid marketing/data engineering role, with at least 2 years building AI‑powered tools or automations in marketing/sales organizations. Past experience designing and building MCP servers, API wrappers, or equivalent tool/function calling layers for LLM agents, including schema design, auth (OAuth, API keys, service accounts), rate limiting, error handling, and observability. Experience integrating with marketing and advertising APIs (SemRush, Google Ads, Google Search Console, Meta Ads, DV360, SA360, Databricks, Marketo CDPs, CMSs) is strongly preferred. Hands-on experience with GCP/AWS serverless architecture (Cloud Run, Cloud Functions, BigQuery or Fargate, Lambda, Redshift, Athena) to build resilient marketing data pipelines that centralize intelligence across fragmented sources Strong technical skills: proficiency in Python, TypeScript/Node.js and/or JavaScript; experience building web applications, APIs, or integrations in a marketing context. Hands-on experience building production-grade multi-agent systems using Google ADK and Vertex AI Agent Engine (or equivalent), including orchestrator/sub-agent patterns and A2A protocol implementation Hands‑on experience with generative AI frameworks, LLM APIs (e.g., OpenAI, Anthropic), and prompt engineering for marketing applications. Experience with A/B testing platforms and experimentation methodology; comfort designing, running, and analyzing marketing experiments. Familiarity with marketing tech stacks: CMSs, CDPs, ad platform APIs (Meta, Google, TikTok), analytics tools. Strong problem‑solving skills and a bias toward shipping; comfort working in ambiguous, fast‑moving environments. Excellent collaboration skills; ability to translate between marketing strategy and technical implementation. Degree in Marketing, Information Systems, Computer Science, Data Science, or a related technical/quantitative field is required, or equivalent practical experience. Master’s degree in Marketing, Computer Science, or a related field is a plus. Experience in fintech, SaaS, or regulated industries is a plus. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Bay Area $169,000 - $229,000 Southern California $154,500 - $209,000

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. A little about us... Role: GenAI Engineer Location: Jersey City, NJ (Hybrid role 3 days/week from day1) Job Description :Role Summary :We are seeking a highly skilled GenAI Engineer to design build and operationalize next generation AI solutions leveraging Large Language Models LLMs AI agents Retrieval Augmented Generation RAG architectures and scalable cloud platforms This role requires strong Handson expertise across AI concepts model integration data pipelines and MLOpsCICD with the ability to translate business problems into production grade AI system s Key Responsibilities :GenAI LLM Engineerin gDesign develop and deploy LLMpowered applications using leading foundation models OpenAI Azure OpenAI Anthropic opensource LLM sBuild LLMbased AI agents capable of multistep reasoning tool use orchestration and autonomous workflow sImplement and optimize agent frameworks LangChain LlamaIndex Semantic Kernel AutoGen CrewAI et cEngineer robust prompting strategies memory mechanisms and toolaugmented reasonin gRAG Knowledge System sDesign and implement Retrieval Augmented Generation RAG architecture sBuild embedding pipelines using vector databases FAISS Pinecone Weaviate Azure AI Search Chrom aOptimize document ingestion chunking strategies metadata management and rerankin gEnsure accuracy relevance and performance of AIgenerated response sMachine Learning Model Integratio nApply practical ML concepts including classification clustering ranking and similarity search where applicabl eIntegrate traditional ML models with LLMbased systems for hybrid AI solution sEvaluate finetune and test models using appropriate performance metric sData Engineering Pipeline sDevelop and maintain data pipelines for structured and unstructured data using Python and SQ LWork with large datasets APIs and streamingbatch processing framework sEnsure data quality lineage observability and governance within AI workflow sMLOps CICD Productionizatio nBuild CICD pipelines for AI and ML workloads including model versioning and automated testin gDeploy AI services in containerized environments Docker Kubernete sImplement monitoring for model performance drift latency and cos tEnsure security access control and compliance for AI system sCloud Platform Engineerin gDesign and deploy AI solutions on cloud platforms such as AWS Azure or GC PLeverage managed AIML services serverless components and scalable infrastructur eOptimize cost performance and reliability of AI workload sCollaboration Stakeholder Engagemen tPartner with product platform and business teams to translate requirements into AI solution sDocument architectures design decisions and operational runbook sProvide guidance on GenAI best practices risks and responsible AI usag eRequired Skills Experience :Core Technical Skills :Strong proficiency in Python and working knowledge of SQ LSolid foundation in AIML concepts with Handson experience deploying model sProven experience with LLMs AI agents and agent framework sHandson expertise with RAG architectures and vector database sExperience implementing CICD pipelines for AI or ML system sStrong understanding of data pipelines and distributed data processin gExperience working on at least one major cloud platform AWS Azure or GC PPreferred Good to Have :Experience finetuning LLMs LoRA PEFT RLHF concept sFamiliarity with evaluation frameworks for GenAI hallucination testing grounding latency benchmark sExposure to governance security and compliance considerations for enterprise A IBackground in domains such as BFSI healthcare or regulated industrie sEducation :Bachelor’s or master’s degree in computer science engineering data science or a related field or equivalent practical experienc eWhat Success Looks Lik eScalable reliable GenAI solutions deployed to productio nWell architected AI agents delivering measurable business valu eHigh-quality explainable and maintainable AI system sStrong collaboration across engineering data and business team sSkill sMandatory Skills: GenAI - LLMOps, LLMOp s LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by la w.

Only W2 Only local to NJ office No C/C is acceptable for this role Not accepting third party employer assistance here Genesys Cloud CX Engineer Weehawken, NJ (Onsite) Long-Term Consulting Opportunity We are seeking an experienced Genesys Cloud CX Engineer to join a high-profile engagement supporting UBS. This role will be responsible for designing, developing, configuring, and optimizing customer experience and contact center solutions within the Genesys Cloud CX platform. This is an excellent opportunity to work directly with enterprise-scale contact center environments, modern cloud technologies, and customer experience transformation initiatives. Responsibilities Genesys Cloud Design & Development Design, develop, and enhance IVR and customer interaction flows using Genesys Architect Build and optimize routing strategies including ACD, skills-based routing, preferred agent, and bullseye routing Develop conversational bots utilizing Genesys Dialog Engine (NLU/NLP) Create automation workflows leveraging Genesys Cloud APIs and third-party integrations Platform Configuration & Administration Configure and support telephony infrastructure including SIP trunks, DID routing, Edge devices, and station configurations Implement and maintain digital channels including chat, email, messaging, and social media Deploy new platform capabilities, enhancements, and updates Integration & Automation Integrate Genesys Cloud CX with CRM, ticketing, authentication, and enterprise systems Develop solutions using REST APIs, JSON, webhooks, and event streams Collaborate with development teams on middleware and backend integrations Monitoring & Support Monitor platform health, call flows, interaction paths, and performance metrics Troubleshoot routing, telephony, and call flow issues Provide L2/L3 support and coordinate escalations with Genesys Care Analytics & Reporting Develop dashboards and reporting solutions using Genesys Analytics Analyze operational metrics including SLA, AHT, abandon rates, agent productivity, and customer experience KPIs Identify opportunities for platform optimization and process improvement Security & Governance Manage user roles, permissions, and access controls Support SSO integrations and compliance initiatives Maintain security and data privacy standards Required Qualifications Technical Experience 3+ years of hands-on experience with Genesys Cloud CX Strong expertise in: Genesys Architect IVR and call flow development ACD and routing strategies SIP telephony and trunking Digital channels (chat, email, messaging) Experience with: REST APIs JSON Web Services OAuth Authentication SSO / Identity Providers (Azure AD, Okta, Ping, etc.) Knowledge of cloud platforms (AWS and/or Azure) Soft Skills Preferred Certifications Genesys Cloud CX Certified Professional (GCX-P) Genesys Cloud Architect Certification ITIL Foundation

Job Summary In this role you will lead software engineering team to deliver leading-edge clients facing applications with best customer experience, while providing flexible/scalable microservices integration solutions across all touch points. Collaborate with various stakeholders from end-to-end in MUFG by working with business, risk, infrastructure technology teams to drive product implementations, continuous improvements. Function as the steward of the system, process, and customer experience by providing dominant business knowledge and developing cutting-edge software solutions using existing and emerging technology platforms including Gen AI. Conceptualize new design, build knowledge base in responsible areas, and drive adoption of modern technologies, architecture patterns, engineering practice, and security requirements. Deliver investment projects and manage business-as-usual practice that adhere to continuous delivery practices with automated unit, integration, and performance testing pipelines. Responsibilities: • As Lead Software Developer, provide strong technical leadership and influencing skills to collaborate with all stakeholders and IT partners to implement end-to-end project deliverables., • Ability to work both independently and in collaborative environments within and across other teams and communicate effectively with all stakeholders across the enterprise, at all levels., • Provide architectural recommendations, design enhancements, and hands-on coding for applications built on JAVA/J2EE platform., • Collaborate with business and IT partners to develop product and systems roadmaps that enable innovative product offerings and client engagement., • Leverage strong domain knowledge and innovative thinking to continuously identify technology opportunities of enhancing current system landscape., • Design detailed interfaces and develop applications integration and message-driven architecture with API, MQ, Kafka., • Lead SaaS platform application upgrades and vendor patching schedules. Collaborate with vendors for product testing, escalation, and incident handling., • Collaborate with project managers, business analyst, product owners to define technical requirements, provide applicable estimations and delivery Plans., • Collectively review Business Requirements Documents (BRD) and develop Functional Design Document (FDD) and Detailed Design Document (DDD) for review and seek sign-off with all stakeholders., • Deliver projects that adhere to continuous delivery practices with automated unit testing, integration testing, and performance testing pipelines, • Develop thorough knowledge of complex application design and programming activities in the latest related technologies: JAVA frameworks, REACT, Angular, HTML5+, CSS, frameworks, objective C, Swift, Android, Xcode, Android Studio, REST, JSON, AJAX, API/Services, J2EE, Hibernate, MQ, SQL, Oracle, JBoss, MQ, OpenShift, Apache, microservices, AWS/Cloud infrastructure, Spark, Kubernetes, Docker, Jenkins, • Promote automation in building, deployment, and testing pipelines for JAVA/MQ applications, • Establish monitoring, alerting and performance tuning practices to ensure system stability and availability, • Strong commitment to production support activities including SSL/TLS certificates, MQ certificates updates and Service accounts password rotations. Manage timelines, deliver quality to meet agreed SLA’s., • Strong written and verbal communication skills to articulate findings clearly and effectively to wide variety of audiences including senior management Qualifications / Work experience • 10+ years of experience with financial industry and preferably in banking environment., • 8+ years of experience in leading project end-to-end delivery, and driving through Agile development cycles or waterfall/SDLC development cycles., • 8+ years of experience with Cash Management system or Liquidity Management system and thorough understanding of payment initiation, processing, and reporting processes., • Dominant knowledge in wire, ACH payments and closely worked with banking operations to investigate customer issues, and trouble shoot system issues., • 8+ years of experience with Web Applications deployed in WebSphere, Weblogic, JBoss, or Kubernetes in internet facing settings., • 8+ years of experience in application design, development stack (front end/UI, middleware services, and back end/database)., • 8+ Strong development experience using Tools Java , Hibernate, Spring Boot, React, JavaScript, Typescript, microservices, Angular, CSS, HTML, SOAP/REST API , Custom flat files, csv, XML/JSON APIs., • 8+ years of Strong experience in batch programming using Shell, DOS, Python, Autosys Job scheduling, testing, and processing, • 8+ years of strong experience in SQL and Oracle databases. Expertise in creating tables, stored procedures, PL/SQL, SQL Agent Jobs and Reporting., • Strong background in CI/CD, cloud-native architecture., • Experience in banking, financial service industry. Good understanding of Banking transmission formats (NACHA, ISO20022, BAI2)., • Understand Agentic AI utilization in code, deployment, testing and documentation., • Extensive experience on-prem OpenShift infrastructure and major public cloud offerings and how to solution designs that are built around these technologies (AWS, Azure, Google Cloud Platform, and similar), • Experience with working with Kubernetes, and AWS, Azure, or any cloud provider, • Experience in working using AWS resources S3, lambda, terraform is a plus., • Experience with Bottomline Technology Digital Banking platform, ACI World Wide Online Banking , Finastra Cash Management platform experience is strongly preferred. Education: -Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience “Visa sponsorship/support is based on business needs. We do not anticipate providing visa sponsorship/support for this position.” The typical base pay range for this role is as follows: • New York / New Jersey: $140k–$205k depending on job-related knowledge, skills, experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. For more information on our Total Rewards package, please click the link below. Our hybrid work schedule is four days on-site and work remotely one day per week. _

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. A little about us... Role: Java FSD-Gen AI Location: Addison TX/Charlotte NC/Jersey City NJ (Hybrid role 3 days/week from day1) Job Description :Role Summar yWe are seeking a highly skilled GenAI Engineer to design build and operationalize nextgeneration AI solutions leveraging Large Language Models LLMs AI agents RetrievalAugmented Generation RAG architectures and scalable cloud platforms This role requires strong handson expertise across AI concepts model integration data pipelines and MLOpsCICD with the ability to translate business problems into production grade AI system s Key Responsibilitie s:GenAI LLM Engineeri ngDesign develop and deploy LLMpowered applications using leading foundation models OpenAI Azure OpenAI Anthropic opensource LL MsBuild LLMbased AI agents capable of multistep reasoning tool use orchestration and autonomous workflo wsImplement and optimize agent frameworks LangChain LlamaIndex Semantic Kernel AutoGen CrewAI e tcEngineer robust prompting strategies memory mechanisms and toolaugmented reasoni ngRAG Knowledge Syste msDesign and implement RetrievalAugmented Generation RAG architectur esBuild embedding pipelines using vector databases FAISS Pinecone Weaviate Azure AI Search Chro maOptimize document ingestion chunking strategies metadata management and reranki ngEnsure accuracy relevance and performance of AIgenerated respons esMachine Learning Model Integrati onApply practical ML concepts including classification clustering ranking and similarity search where applicab leIntegrate traditional ML models with LLMbased systems for hybrid AI solutio nsEvaluate finetune and test models using appropriate performance metri csData Engineering Pipelin esDevelop and maintain data pipelines for structured and unstructured data using Python and S QLWork with large datasets APIs and streamingbatch processing framewor ksEnsure data quality lineage observability and governance within AI workflo wsMLOps CICD Productionizati onBuild CICD pipelines for AI and ML workloads including model versioning and automated testi ngDeploy AI services in containerized environments Docker Kubernet esImplement monitoring for model performance drift latency and co stEnsure security access control and compliance for AI syste msCloud Platform Engineeri ngDesign and deploy AI solutions on cloud platforms such as AWS Azure or G CPLeverage managed AIML services serverless components and scalable infrastructu reOptimize cost performance and reliability of AI workloa dsCollaboration Stakeholder Engageme ntPartner with product platform and business teams to translate requirements into AI solutio nsDocument architectures design decisions and operational runboo ksProvide guidance on GenAI best practices risks and responsible AI usa ge Required Skills Experie nceCore Technical Ski llsStrong proficiency in Python and working knowledge of SQLSolid foundation in AIML concepts with handson experience deploying mod elsProven experience with LLMs AI agents and agent framewo rksHandson expertise with RAG architectures and vector databa sesExperience implementing CICD pipelines for AI or ML syst emsStrong understanding of data pipelines and distributed data process ingExperience working on at least one major cloud platform AWS Azure or GCPPreferred Good to H aveExperience finetuning LLMs LoRA PEFT RLHF conce ptsFamiliarity with evaluation frameworks for GenAI hallucination testing grounding latency benchma rksExposure to governance security and compliance considerations for enterprise AIBackground in domains such as BFSI healthcare or regulated industr ies LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

Job Description Trilagen is hiring a Senior Sales Executive focused 100% on selling Identity Governance projects to large enterprise customers. You will work directly with customers and the SailPoint sales team to identify, source, and close net-new SailPoint ISC implementation engagements — including replacing legacy SailPoint IIQ, homegrown IGA solutions, Oracle Identity Manager (OIM), and other end-of-life identity platforms with SailPoint Identity Security Cloud. This is a pure hunting role for someone who has successfully sold identity security consulting at smaller firms where credibility had to be earned — not inherited. If your sales career has been at companies where the brand opens the door, this is not the right role. At Trilagen, you are the brand until you prove otherwise. This is not a relationship manager role. We need a builder, prospector, and closer who partners directly with SailPoint's commercial sales team to find organizations stuck on legacy IGA platforms and moves them to ISC. Trilagen has a 100% deployment success rate on SailPoint ISC — your job is to put that track record in front of every enterprise with a stalled or failing identity governance program. Why This Market, Why Now • $96B in cybersecurity M&A in 2025 — identity and access management is a top acquisition and spending category., • SailPoint IIQ is end-of-road — thousands of enterprise customers need to migrate to ISC. SailPoint's own sales team needs implementation partners to make this happen., • Homegrown IGA is failing — enterprises that built custom identity governance on OIM, SUN IDM, or internal tools are hitting compliance walls and looking for modern platforms., • AI agent governance is the new requirement — enterprises deploying AI agents need identity governance for non-human identities. SailPoint ISC is the platform — Trilagen is the implementation partner., • 100% deployment success rate — Trilagen has never failed a SailPoint ISC deployment. That is the single most powerful selling point in the SailPoint ecosystem. What You'll DoSailPoint Co-Sell & New Logo Acquisition • Own the full sales cycle from prospecting through close for identity governance engagements — you source it, you scope it, you close it., • Build and maintain deep relationships with SailPoint's commercial sales team — become their go-to implementation partner in your territory. When SailPoint closes an ISC license deal, you close the implementation SOW., • Identify net-new opportunities where enterprises are running:, • Legacy SailPoint IIQ — aging on-prem deployments that need to migrate to ISC, • Homegrown IGA solutions — custom-built identity governance that can't scale or meet compliance, • Oracle Identity Manager (OIM) — Oracle customers looking for modern, cloud-native IGA, • SUN Identity Manager / legacy platforms — end-of-life products with no upgrade path, • No IGA at all — enterprises that have grown past manual access management and need governance, • Generate your own pipeline through outbound prospecting, SailPoint partner referrals, personal network, LinkedIn, and events. No SDR team, no inbound engine., • Target CISOs, VPs of Identity, Directors of IAM, and IT Security leaders at Fortune 500 and large publicly traded companies. Consultative Identity Selling • Position SailPoint ISC implementations tied to real business outcomes — compliance risk reduction, audit readiness, access certification automation, and operational efficiency., • Translate IGA complexity into executive-level value — CISOs don't buy technology features; they buy risk reduction, audit pass rates, and time-to-compliance., • Scope engagements accurately — you understand the difference between a 3-month ISC deployment and a 12-month IIQ-to-ISC migration with 50+ connectors. You don't oversell or underscope., • Collaborate with Trilagen's identity consultants during discovery and solution design. You sell the engagement; the engineers validate the architecture and timeline. Territory & Pipeline Development • Build and execute a territory plan focused on SailPoint ecosystem opportunities — IIQ migration targets, homegrown IGA replacements, OIM modernization, and greenfield ISC deployments., • Register every deal in SailPoint's partner portal for deal protection and co-sell coordination., • Maintain disciplined CRM hygiene in Salesforce — every opportunity, meeting, and next step documented. Pipeline accuracy is non-negotiable., • Attend SailPoint Navigate and identity industry events to build pipeline and deepen partner relationships. Cross-Sell into AI & Cloud • Every identity engagement is a door into Trilagen's other practices — AI Agent Engineering and Cloud (AWS & Oracle OCI)., • AI agent identity governance — enterprises deploying AI agents need non-human identity management. SailPoint ISC is the platform; Trilagen builds the governance., • Okta integration — many SailPoint ISC customers also run Okta for access management. Position the full Okta + SailPoint ISC identity stack. What You SellSailPoint ISC Implementation (Primary) • Greenfield SailPoint ISC deployments — new implementations for enterprises adopting IGA for the first time or replacing homegrown solutions., • IIQ-to-ISC migration — the biggest opportunity in the SailPoint ecosystem right now. Thousands of customers on legacy IIQ need to move to ISC., • Legacy IGA replacement — replacing OIM, SUN IDM, homegrown tools, and other end-of-life platforms with SailPoint ISC., • ISC optimization & expansion — customers already on ISC who need additional connectors, workflows, access certification campaigns, or compliance reporting., • Managed IGA services — ongoing managed operations, access review administration, and ISC platform management. Recurring revenue. Complementary Services (Cross-Sell) • Okta (SSO, MFA, lifecycle management) — frequently deployed alongside SailPoint ISC., • AI agent identity governance — extend ISC to cover non-human identities for AI agents., • AWS & Oracle OCI cloud infrastructure — the platforms ISC and identity workloads run on. Requirements • 7+ years of enterprise technology sales experience with at least 3 years selling identity security, IAM, or IGA solutions or consulting services., • Direct experience selling SailPoint implementations — you understand ISC, IIQ, connectors, access certification, provisioning workflows, and how to scope an identity engagement., • Existing relationships with SailPoint's sales team — you can name SailPoint AEs, SEs, or channel managers you've co-sold with. This is a co-sell role; partner relationships are not optional., • Proven success at small or early-stage companies with limited brand recognition — you've opened doors where nobody knew your company's name, purely on credibility and hustle., • Track record of exceeding quota through outbound prospecting and new logo acquisition — sourcing and closing, not farming or managing inherited accounts., • Experience selling $500K+ consulting engagements with 60–120 day sales cycles to CIOs, CISOs, VPs of Identity, and IAM leaders at large enterprises., • Deep understanding of the IGA competitive landscape — SailPoint IIQ vs. ISC, OIM, SUN IDM, Saviynt, Omada, homegrown approaches. You know what customers are running and why they need to move. The Ideal Candidate • Hunter mentality — you build pipeline, you don't wait for it, • SailPoint ecosystem insider — you know the partner channel, the sales team, and the migration playbook, • Identity security domain expert — you speak fluently about IGA, access certification, SoD, provisioning, and compliance, • Comfortable selling without brand recognition — your credibility comes from your expertise, not your employer's logo, • Entrepreneurial and self-directed — no playbook, no SDR team, no marketing. You build it., • Persistent and resilient — IGA sales cycles are complex. You stay in the deal when others give up. Strong Preference For Candidates Who Have • Sold SailPoint ISC or IIQ implementations specifically, • Worked at a SailPoint implementation partner (under 200 people), • Closed IIQ-to-ISC migration deals, • Named SailPoint AE and channel contacts they can activate on day one, • Sold against Big 4 - PWC, Deloitte, Accenture, • Closed six-figure and seven-figure identity consulting engagements, • Experience selling to financial services, healthcare, or higher education verticals Benefits Benefits: • 401K, • Health Insurance, • Dental Insurance, • Paid Time Off, • Paid Sick Leave

Job Description Trilagen is hiring a Senior Account Executive focused on net-new enterprise business development for Agentic AI services and solutions. This is a pure hunting role for someone who has successfully sold emerging technologies at smaller startups where credibility had to be earned — not inherited. The ideal candidate has a track record of building territory from scratch, opening doors into enterprise accounts, and navigating complex sales cycles without the backing of a large marketing engine or Fortune 500 logo. If your sales career has been at companies where the brand opens the door, this is not the right role. At Trilagen, you are the brand until you prove otherwise. This is not a "relationship manager" role. We need a builder, prospector, and closer who is energized by creating opportunities where none exist. Your job is to build pipeline from nothing and close deals. Why This Market, Why Now • $9B+ agentic AI market in 2026 — 51% of Fortune 500 have agents in production, but only 23% see real ROI. The gap is our opportunity., • $890K average implementation cost per agent deployment — real enterprise budget, not experiments., • 60% of enterprises lack AI agent governance — our identity security practice (Okta, SailPoint ISC) solves this directly. What You'll DoNew Logo Acquisition • Own the full sales cycle from prospecting through close — you source it, you scope it, you close it. From first outreach to signed SOW., • Generate and manage your own pipeline through outbound activity, networking, referrals, events, and strategic outreach. There is no SDR team, no inbound engine, no inherited book., • Target enterprise and upper mid-market organizations undergoing AI transformation — CIOs, CISOs, CTOs, business unit leaders, and innovation teams at Fortune 500 and large publicly traded companies., • Sell into three buyer categories ready to pay today: 1. "We tried and failed" — deployed agents with another firm, didn't get results. They have budget and urgency., 2. "We need to start but don't know how" — board pressure to deploy agents but no methodology. Your entry is the process assessment., 3. "We have agents but no governance" — 60% of enterprises lack governance. Pure identity security + agent governance play. Consultative AI Selling • Position Agentic AI solutions tied to real business outcomes — not technology features. Translate complex technical concepts into executive-level business value., • Help customers understand AI adoption strategies, automation opportunities, governance requirements, and operational impact., • Collaborate with technical architects and delivery teams during discovery and solution development. You sell the vision; the engineers validate the architecture., • Cross-sell across all three Trilagen practices — AI Agent Engineering, Cloud (AWS & Oracle OCI), and Identity Security (Okta & SailPoint ISC). Every engagement is a door into the other two. Territory & Pipeline Development • Build and execute territory plans with measurable pipeline targets — not vague relationship-building. Specific accounts, specific contacts, specific dollar amounts., • Maintain disciplined forecasting and CRM hygiene — every opportunity, every meeting, every next step documented in Salesforce. Pipeline accuracy is non-negotiable., • Drive urgency and momentum through long and complex enterprise buying cycles. Consistently exceed activity, pipeline, and revenue goals. Startup Mentality • Operate with urgency, autonomy, and accountability — in a small team, there's no one to hide behind., • Help shape messaging, GTM strategy, and sales process — you're not inheriting a playbook; you're building one alongside the President., • Provide market feedback directly to leadership — what buyers are saying, what objections keep coming up, what's working and what isn't., • Work directly with the President — You learn from a proven closer and earn the right to carry the sales function independently. What You Sell You sell across all three Trilagen practices. Every engagement is a door into the other two. AI Agent Engineering (Lead with this) • Business process documentation — we map workflows, decision logic, and system dependencies before building anything. This is our entry point., • AI agent design, build & integration — autonomous agents powered by LLMs (Claude, GPT-4, Llama, Bedrock) that automate processes and integrate with legacy systems., • Agent operations & management — ongoing monitoring, LLM management, cost optimization. Recurring managed services revenue. Identity Security (Cross-sell on every AI deal) • Okta & SailPoint ISC implementation — SSO, MFA, lifecycle, IGA, access certification. 100% deployment success rate on SailPoint ISC., • AI agent identity governance — non-human identity management, least-privilege access, audit trails, policy guardrails. Cloud (Foundation for everything) • AWS — cloud-native app dev, data lakes, migration, managed operations. Every agent deal is a cloud deal. Requirements • 7+ years of enterprise technology sales experience selling consulting, professional services, or managed services to commercial enterprise buyers. Not SaaS licenses., • Proven success selling emerging technologies: AI / Generative AI / Agentic AI, cybersecurity, cloud services, digital transformation, or enterprise consulting engagements., • Demonstrated success at small or early-stage companies with limited brand recognition — you've opened doors where nobody knew your company's name, purely on your own hustle and credibility., • Consistent track record of exceeding quota through outbound prospecting and new logo acquisition — not farming, not managing, not inheriting. Sourcing and closing., • Experience selling into enterprise accounts with complex multi-stakeholder buying processes — $150K–$500K+ engagements with 60–90 day cycles involving CISOs, CIOs, VPs of IT., • Ability to independently source, develop, and close opportunities without SDR teams, marketing engines, or corporate brand support., • Familiarity with AWS, Okta, or SailPoint partner ecosystems — you've worked in or around at least one and understand the co-sell motion. The Ideal Candidate • Hunter mentality with strong prospecting discipline — you wake up thinking about pipeline, • Comfortable hearing "no" and persistent enough to keep moving, • Naturally curious and commercially driven — you ask questions before you pitch, • Strong executive presence and communication skills — you can hold a room with a CISO or CTO, • Able to simplify complex technical concepts — you don't need to be an engineer, but you need to be conversant in AI agents, LLMs, and identity governance, • Entrepreneurial mindset with high accountability — you own your number and you own your territory, • Thrives without structure — there's no established playbook. You're building it. Strong Preference For Candidates Who Have • Sold AI services or AI consulting engagements, • Worked at startups under 200 employees with no brand recognition, • Built territories or GTM motions from scratch, • Existing enterprise relationships within targeted verticals, • Closed six-figure and seven-figure services engagements, • Worked alongside technical delivery or solution engineering teams Benefits Benefits: • 401K, • Health Insurance, • Dental Insurance, • Paid Time Off, • Paid Sick Leave

Job Description Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. With a focus on Sovereign AI—secure, compliant, and infrastructure-flexible deployments—H2O.ai delivers solutions that align with the highest standards of data privacy and control. Our open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users. H2O.ai has raised 256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. For more information, visit www.h2o.ai. About This Opportunity We are looking for a Senior Sales Engineer - AI to join our team. In this role, you’ll combine deep technical expertise in Machine Learning and Generative AI with strong pre-sales solutioning skills to help enterprise customers design, adopt, and scale AI using the H2O.ai platform. You’ll work hand-in-hand with Sales, Product, and Customers - leading technical discovery, designing architectures, running demos and pilots, and guiding customers through their end-to-end AI journey. This position is based in New York. What You Will Do • Partner with Sales to drive pre-sales success: lead discovery sessions, identify customer needs, design technical solutions, and build winning proposals., • Execute high-impact proof of value that moves beyond technical feasibility to demonstrate ROI, such as cost per token or measurable accuracy gains in production using H2O AI Enterprise Platform: Predictive, Generative, and Agentic AI, • Build and present custom AI/ML/GenAI solutions tailored to industry verticals (banking, finance, insurance, healthcare, manufacturing, retail, public sector)., • Showcase hands-on expertise with LLMs: fine-tuning, evaluations, RAG, and Agentic pipelines., • Design and build sophisticated Agentic Workflows, beyond simple RAG to multi-agent systems that can reason, use tools, and execute complex business logic autonomously., • Design reference architectures and deployment strategies for enterprise customers across cloud (AWS, Azure, GCP), hybrid, and on-prem., • Architect integrated solutions that leverage the full H2O stack: using Driverless AI for predictive features, h2oGPTE for unstructured data synthesis, • Guide customers on MLOps, Kubernetes deployments, CI/CD integration, monitoring, and governance to ensure their applications are production-ready., • Work closely with Product Management to influence the product roadmap based on customer and field insights., • Contribute to thought leadership by creating solution blueprints, best practices, and reusable assets; represent H2O.ai at events, roundtables, webinars, and conferences.What We Are Looking For, • 5+ years in pre-sales, sales engineering, or solution architecture roles for enterprise AI/ML platforms., • Hands-on expertise in Generative AI and ML: LLM fine-tuning, evaluation, pipelines, predictive ML algorithms., • Proven experience with cloud-native deployments (AWS, Azure, GCP), Kubernetes, and enterprise integration., • Master the art of technical storytelling, the ability to whiteboard a complex Kubernetes deployment for an IT Director, then pivot to explaining the risk-mitigation benefits of 'Guardrails' to a Chief Risk Officer., • Excellent presentation and communication skills: confident in front of C-level executives and technical teams., • Experience with H2O.ai products or similar enterprise AI/ML platforms is a plus., • Willingness to travel up to 50% to support strategic accounts.How to Stand Out, • Experience running POCs, pilots, and executive workshops that accelerate AI adoption., • Familiarity with enterprise security, compliance, and governance in AI deployments., • Demonstrated thought leadership (talks, blogs, open-source contributions)., • Vertical domain expertise (e.g., BFSI, telco, pubic sector, manufacturing, retail). Why H2O.ai? • Market leader in total rewards, • Remote-friendly culture, • Flexible working environment, • Be part of a world-class team, • Career growth H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose. Please visit www.H2O.ai to learn more. #LI-Hybrid Powered by JazzHR e0ReZA0xCQ

Pay Range: (Specific to OHI,DEL,NY,CA,CO,WA,MD,CT,IL,NV,,KY,MI,NJ,ME,MO,MA,MT) $22.91 - $28.00 Hourly About Brink's: The Brink's Company (NYSE:BCO) is a leading global provider of cash and valuables management, digital retail solutions, and ATM managed services. Our customers include financial institutions, retailers, government agencies, mints, jewelers, and other commercial operations. Our network of operations in 51 countries serves customers in more than 100 countries. We believe in building partnerships that secure commerce and doing that requires fostering an engaged culture that values people with different backgrounds, ideas, and perspectives. We build a sense of belonging, so all employees feel respected, safe, and valued, and we provide equal opportunity to participate and grow. Job Description Brink's Global Services is a division of Brink's Inc, the world's premier provider of secure logistics and security solutions in more than 122 countries across 5 continents. Brink's Global Services specializes in the secure transportation, storage and handling of valuable goods throughout the logistic value chain, from raw materials and components to finished products within the mining, banknote, precious metal, jewelry, security, art and pharmaceutical industries The company has a proud history of providing growth and advancement opportunities for its employees. We have a challenging opportunity for a - Production Coordinator based out of JFK facility. Hourly Rate: $32-$33 Job Summary: The Production Coordinator is responsible for coordinating the operational workflow and tracking key milestones over the duration of a customer order end to end, within the Precious Metals operation in the Tri State area. This position will work with the Vault Team and the Customer Service Team to ensure that customers are appropriately serviced as per expectations and build out a comprehensive track and visibility dashboard for cross functional teams' daily use. The position will also work closely with the BGS Operations Team to support all related Export / Import activities. This position functions in an armed environment and requires the enforcement of rules to protect the premises and property of Brink's and its customers, as well as the safety of all on the premises of Brink's. Key Responsibilities: • Tracking of every customer transaction while building and populating the customer service dashboard., • Working with Vault Team and Customer Service Team to establish key milestones and timing to complete milestones and overall transactions., • Ensuring key milestones are met by Vault Team and Customer Service Team., • Analyze KPIs and metrics associated with shipment production flow and report back to management key spikes, trends and findings, • Escalation of any deviation of milestones to Management team., • Establish proactive Customer communication with regular updates on key milestones., • Explore innovative uses of AI, technology products and informational systems to streamline operations and internal communication updates to cross functional teams, • Strong ability to work through peak demands and recalibrate projects and functions during off peak times., • Establish a point of contact system of communication between operations and customer service for all milestone updates., • Work through problem solving events with operations and customer service to better meet customer expectations and deliverables, • Partnering with Ground Operations, Air Operations, Sort Operations and Shipping Teams to coordinate import/export progress. Minimum Qualifications: • Proficiency with Microsoft Office, • Minimum of 21 years of age, • 1-3 years of project management experience, • A valid firearms permit or ability to pass applicable firearms licensing requirements, • Ability to work a flexible work schedule including evenings, weekends and holidays Preferred Qualifications: • Experience in precious metals storage, freight forwarding/transportation or related field., • Excellent verbal and written communication skills., • Working knowledge of Lean/Process Improvement methodologies, • Project Management Certification, • Associate degree or bachelor's degree preferred Professional Skills: • Professional, positive demeanor., • Collaborative work style., • Good ethics and integrity., • Strong attention to detail., • Collaborative work style, • Culture change agent, • Project management If you have the background and integrity we require and are looking for a challenging opportunity, we hope you will consider employment with Brink's Global Services U.S., Inc. Brink's provides an outstanding total compensation package for this position. In addition to a competitive salary, we offer to eligible employees, medical, dental, vision, and life insurance plans. We also offer a 401(k) Plan. If you are interested and meet the requirements for this position, please apply. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. What's Next? Thank you for considering applying for a job at Brink's. To be considered for this position, you must complete the entire application process, which includes answering all prescreening questions and providing your eSignature. Upon completion of the application process, you will receive an email confirming that we have received your application. We will review all candidates and notify you of your status should we deem you fit for a job. Thank you again for your interest in a career at Brink's. For more information about future career opportunities, join our talent network, like our Facebook page or Follow us on X. Brink's is an equal opportunity/affirmative action employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, marital status, protected veteran status, sexual orientation, gender identity, genetic information, or history or any other characteristic protected by law. Brink's is also committed to providing a drug-free workplace. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state, or local protected class.

Description Application deadline: Jun 5, 2026 The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS 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 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 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 As an experienced technology professional, you will be responsible for: Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs Providing technical guidance and troubleshooting support throughout project delivery Collaborating with stakeholders to gather requirements and propose effective migration strategies Acting as a trusted advisor to customers on industry trends and emerging technologies Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts 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. AWS Global Services AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You'll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. Basic Qualifications - Bachelor's degree in computer science, engineering, mathematics or equivalent - 5+ years of experience in cloud architecture and implementation - 5+ years of experience as a contact center technology architect, enterprise IT Architect or senior contact center developer working with leading contact center technology platforms and applications, such as Amazon Connect, Avaya, Cisco, Genesys, NICE InContact, Salesforce, etc. - 3+ years designing and implementing NLP/NLU (IVR or chat) solutions using at least one major conversational AI framework (e.g., Rasa, Dialogflow, Lex, or Azure Bot Service) at enterprise scale in a contact center environment - 3+ years hands-on coding experience with REST APIs and web services, including successful integration of 3+ contact center platforms (e.g., Genesys, Amazon Connect, Five9) Preferred Qualifications - Knowledge of security and compliance standards including HIPAA and GDPR - Experience communicating technical concepts to non-technical audiences - AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation) - AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred - Experience with automation and scripting (e.g., Terraform, Python) - Knowledge of Amazon Connect or Amazon Lex capabilities, benefits, and required deployment skills - Experience incorporating generative AI into the contact center (voice or chat bots, agent assist or next best action) to answer questions or drive self-service experiences, including architecture design, model selection and integration, prompt engineering, and data preparation. 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. 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, Mountain View - 176,600.00 - 239,000.00 USD annually USA, CO, Denver - 153,600.00 - 207,800.00 USD annually USA, GA, Atlanta - 153,600.00 - 207,800.00 USD annually USA, IL, Chicago - 153,600.00 - 207,800.00 USD annually USA, NJ, Jersey City - 169,000.00 - 228,600.00 USD annually USA, NY, New York - 169,000.00 - 228,600.00 USD annually USA, TX, Dallas - 153,600.00 - 207,800.00 USD annually USA, VA, Arlington - 153,600.00 - 207,800.00 USD annually USA, VA, Herndon - 153,600.00 - 207,800.00 USD annually USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually

Description The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS 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 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 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 As an experienced technology professional, you will be responsible for: - Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs - Providing technical guidance and troubleshooting support throughout project delivery - Collaborating with stakeholders to gather requirements and propose effective migration strategies - Acting as a trusted advisor to customers on industry trends and emerging technologies - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team ABOUT AWS: 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. AWS Global Services AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You'll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. Basic Qualifications - Bachelor's degree in computer science, engineering, mathematics or equivalent - 5+ years of experience in cloud architecture and implementation - 5+ years of experience as a contact center technology architect, enterprise IT Architect or senior contact center developer working with leading contact center technology platforms and applications, such as Amazon Connect, Avaya, Cisco, Genesys, NICE InContact, Salesforce, etc. - 3+ years designing and implementing NLP/NLU (IVR or chat) solutions using at least one major conversational AI framework (e.g., Rasa, Dialogflow, Lex, or Azure Bot Service) at enterprise scale in a contact center environment - 3+ years hands-on coding experience with REST APIs and web services, including successful integration of 3+ contact center platforms (e.g., Genesys, Amazon Connect, Five9) Preferred Qualifications - Knowledge of security and compliance standards including HIPAA and GDPR - Experience communicating technical concepts to non-technical audiences - AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation) - AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred - Experience with automation and scripting (e.g., Terraform, Python) - Knowledge of Amazon Connect or Amazon Lex capabilities, benefits, and required deployment skills - Experience incorporating generative AI into the contact center (voice or chat bots, agent assist or next best action) to answer questions or drive self-service experiences, including architecture design, model selection and integration, prompt engineering, and data preparation. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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, AZ, TEMPE - 153,600.00 - 207,800.00 USD annually USA, CA, Mountain View - 176,600.00 - 239,000.00 USD annually USA, GA, Atlanta - 153,600.00 - 207,800.00 USD annually USA, MA, Boston - 153,600.00 - 207,800.00 USD annually USA, NJ, Jersey City - 169,000.00 - 228,600.00 USD annually USA, TX, Dallas - 153,600.00 - 207,800.00 USD annually USA, VA, Arlington - 153,600.00 - 207,800.00 USD annually USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually

Company Description Radish is committed to making quality medical care more accessible, aiming to improve employee health and satisfaction while reducing overall healthcare costs. Through innovative solutions, we support healthier workplaces and foster well-being among employees. By prioritizing accessibility and affordability, Radish transforms the way healthcare services are delivered and experienced. Role Description Radish Health is looking for a Principal Engineer to join our growing engineering team. In this role, you'll be responsible for designing, developing, and maintaining scalable applications and services. You'll lead technical solutioning efforts, make architectural decisions, and help define best practices to ensure long-term performance and reliability. You'll be instrumental in building and deploying AI/ML capabilities that directly impact patient care, clinical decision-making, and healthcare operations. This role will help integrate new technologies and oversee all engineering activities for the cross-functional team. This includes the consumer (patient)-facing experiences, clinical and administrative interfaces, and building out all underlying capabilities that support those experiences. Teams are small and agile, and the role is very hands-on, combining individual contribution with technical leadership. You'll play a key role in setting technical direction, mentoring and working with other engineers, and collaborating across teams to deliver impactful solutions. Responsibilities • Collaborate with team members and business stakeholders to understand requirements and develop effective technical solutions, • Lead and manage a team of onshore and offshore developers, providing technical leadership and mentorship, • Oversee the design, development, testing, and deployment of applications, • Deliver flexible and robust solutions that meet overall business objectives, • Participate in technical solution reviews and ensure implementation of best practices, • Perform hands-on solution design and develop proof-of-concepts for new features or technologies, • Implement and maintain modern DevOps practices to ensure smooth, automated delivery processes, • Leverage AI and automation technologies to optimize workflows, improve efficiency, and enhance product capabilities, • Build and optimize data pipelines that feed AI/ML models with healthcare data from multiple sources, • Continuously learn and stay current with emerging technologies, industry trends, and best practices to drive innovation and maintain technical excellence About You Operational Excellence - You have a deep understanding of software engineering best practices, including clean code, refactoring, complexity reduction, schema design, and Domain-Driven Design. You take pride in writing production-ready, high-quality, and maintainable code. Mission-Driven - You care deeply about improving healthcare and patient outcomes. You're excited to work at a company that is using technology to transform how care is delivered. Exceptional Communicator - You're able to clearly and effectively communicate complex technical ideas, whether in writing, on calls, or in collaborative sessions. You thrive in a remote-first environment and enjoy working closely with engineers, product managers, and other stakeholders. Execution-Oriented - You have a strong bias for action and delivering results. You don't wait for perfect conditions, you move things forward, overcome blockers, and get the job done. Data-Driven & Systems Thinker - You are a systems thinker whose happy place is imagining new ways of capturing and capitalizing on data. Where others see dormant, siloed information, you see the potential for AI/ML-powered insights, intelligent automation, and seamless integrations. You excel at designing end-to-end solutions that combine traditional data engineering with modern AI capabilities to create scalable, automated workflows that enhance healthcare delivery. Analytical Problem Solver - You thrive on breaking down complex technical challenges into manageable components. You approach problems systematically, use data to drive decisions, and can identify root causes quickly. You're comfortable working with ambiguous requirements and can design elegant solutions for intricate workflows. Requirements • Bachelor's or master's degree in Computer Science, Information Technology, or a related field, • Proven 6–8 years of software development experience, with at least 3 years in a team lead or technical leadership role, • Strong proficiency in C#, or alternatively Java or Node.js, with a solid understanding of object-oriented programming principles and design patterns, • Hands-on experience with .NET Framework/Core (including ASP.NET MVC, ASP.NET Core, Web API) or equivalent frameworks in Java (Spring, Jakarta EE) or Node.js (Express.js), • Strong database skills with expertise in SQL Server, including writing and optimizing stored procedures, functions, and views, • Proven experience building secure and performant RESTful APIs, • Proficiency in React.js for front-end development, • Solid knowledge of TypeScript and JavaScript, including ES6+ features and modern development best practices, • Understanding of UI/UX principles to collaborate effectively with design and deliver intuitive user experiences, • Understanding of software development lifecycle (SDLC) methodologies, particularly Agile, • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP), • Experience with key AWS services including IAM, Lambda, API Gateway, RDS, EC2, and S3 (or similar services in other cloud platforms), • Cloud certifications demonstrating expertise in cloud architecture and administration, • Experience with microservices architecture, • Strong experience with Git for version control and collaborative development workflows, • Hands-on experience with AI/ML technologies, including integrating and consuming AI APIs (OpenAI, Azure Cognitive Services, AWS Bedrock, etc.), building solutions using Retrieval-Augmented Generation (RAG) for knowledge systems, fine-tuning pre-trained models with specific datasets, and model experimentation, hyperparameter tuning, and performance optimization in production environments, • Exposure to data engineering practices, including building data pipelines for model training and inference, data preprocessing and feature engineering, and ensuring data quality and validation, • Understanding of security best practices, procedures, and policies Nice to Have • Experience building and deploying AI agents for healthcare workflows, including multi-step reasoning, tool integration, and autonomous task execution, • Familiarity with agent frameworks and orchestration platforms, • Knowledge of prompt engineering techniques and agent behavior optimization, • Experience with workflow automation platforms like n8n, • Experience with low-code/no-code platforms like Retool for rapid application development, • Experience with data warehouses like BigQuery, Redshift, or Snowflake, • Experience with containerization technologies like Docker Benefits • Flexible Paid Time Off (PTO), • Health, Dental and Vision Insurance, • 401(k) Retirement Plan, • Flexible Spending Accounts Additional Information • This is a full-time, hybrid position located within the United States. Team members are expected to work 3 days per week in our NYC office.

Sr Manager - Airline Partner Management New York, NY, United States Job Description The Airline and Transportation Partnerships team within Global Partnerships and Marketing is responsible for managing and growing American Express Travel's relationships with airline suppliers globally. This team leads a portfolio of airline partners, negotiating commercial agreements that optimize supplier economics while delivering differentiated value to American Express Card Members. The role focuses on maximizing engagement with a portfolio of suppliers, expanding participation in programs that offer exclusive benefits, and enhancing the end-to-end travel booking experience. The team also oversees Amex Travel's proprietary fare programs, including Platinum Member Airfares and Insider Fares, ensuring competitive pricing and compelling value for customers. The Senior Manager will be responsible for working cross-functionally within American Express to increase sales, to increasengagement with Amex Travel, and working to improve Card Member engagement with airline-focused card benefits. Responsibilities + Manage a portfolio of airline accounts by driving growth opportunities and overseeing day-to-day Account Management responsibilities (eg. Addressing Card Member complaints, managing partner escalations, negotiating contracts, selling sponsorships, and partnering with Operations Analysts to support operational issues like fare filing and inventory availability) + Drive partner engagement through relationship management, account reviews, and identification of strategic opportunities to grow the Amex Travel airline business through marketing and agent engagement. + Collaborate with international counterparts within the GPM Air Partnerships team to develop global account management strategies for key airlines. + Collaborate across the enterprise with Membership Rewards, Strategic Partnerships, Premium Card Products, Co-Brand, Global Merchant Services, etc. to identify opportunities to drive growth and to support American Express enterprise priorities. Qualifications + Exceptional communicator, with the ability to influence and drive decisions with external partners across the enterprise + Strong personal presence with the ability to confidently present to leadership at all levels + Strong strategic thinker with growth mindset that can pull in multiple viewpoints and both qualitative and quantitative information to ensure we serve our Card members, partners, and the business + Outstanding collaboration skills, ability to work across teams regardless of reporting lines, to achieve joint outcomes + Excellent negotiating skills with proven ability to influence at all levels + Ability to work in a fast-paced environment with a keen ability to prioritize multiple initiatives + 3+ years partner management experience; prior experience in Airline Sales is preferred + This role is hybrid and based in New York City Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for this position. At American Express, our culture is built on a 175-year history of innovation, shared values (https://www.americanexpress.com/en-us/company/who-we-are/) and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service. As part of Team Amex, you'll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: + Competitive base salaries + Bonus incentives + 6% Company Match on retirement savings plan + Free financial coaching and financial well-being support + Comprehensive medical, dental, vision, life insurance, and disability benefits + Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need + 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy + Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) + Free and confidential counseling support through our Healthy Minds program + Career development and training opportunities For a full list of Team Amex benefits, visit our Colleague Benefits Site (https://www.americanexpress.com/en-us/colleagues/benefits) . American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions. We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually. US Job Seekers - Click to view the "Know Your Rights (https://www.eeoc.gov/poster) " poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster. The below represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors. Job Info + Job Identification 26008229 + Job Category Sales/Relationship Management + Posting Date 05/28/2026, 04:00 PM + Apply Before 06/12/2026, 07:00 AM + Degree Level Bachelor's Degree + Job Schedule Full time + Locations AMEX World Financial Center, New York, NY, 10285, US + Salary Range $103750 - $174750 annually + bonus + benefits + Career Area Sales & Relationship Management Return to Jobs List (https://careers.americanexpress.com/en/sites/CX_1/jobs)

Position Summary Our Human Capital practice is at the forefront of transforming the nature of work. As converging forces reshape industries, our team uniquely addresses the complexities of work, workforce, and workplace dynamics. We leverage sector-specific insights and cross-domain perspectives to help organizations tackle their most challenging workforce issues and align talent strategies with their strategic visions. Our practice is renowned for making work better for humans and humans better at work. Be part of this exciting era of change and join us on this transformative journey. Recruiting for this role ends on 07/17/2026. Work you'll do As a Manager, Functional Transformation on the Moveworks team, you will be responsible for leading AI-powered employee experience engagements across implementation, expansion, and optimization efforts for Fortune 500 clients. Lead multiple Moveworks engagements across implementation, use case expansion, and platform optimization, including scope, budget, resource, timeline, and risk management Manage and develop consultants and senior consultants through day-to-day coaching, feedback, and performance oversight Serve as a primary project-level client contact for stakeholders across Human Resources, Information Technology, and Information Security Lead workshops, design sessions, and stakeholder reviews to define user journeys, sprint priorities, and configuration decisions for knowledge management, conversational flows, enterprise search, and agentic AI capabilities Oversee integration planning and solution delivery for Moveworks with platforms such as ServiceNow, Workday, and other enterprise systems that support employee service workflows Contribute to business development and practice development activities, including proposals, scoping, client presentations, methodology refinement, and knowledge sharing A successful candidate would possess these skills: Ability to work independently and collaborate as part of a team Effective written and verbal communication skills Meticulous attention to detail and quality of work product Ability to build and sustain professional relationships Ability to lead projects or workstreams Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment Strong interpersonal skills and professional demeanor Ability to meet deadlines Ability to mentor and provide clear guidance to others The team Our HR Strategy & Technology Offering is dedicated to developing leading global HR strategies and implementing cutting-edge HR technologies. We drive transformation and maximize the workforce experience, ensuring sustained HR effectiveness and value. In a world of disruption, our solutions empower organizations to navigate challenges seamlessly, enhancing their HR capabilities and fostering a resilient workforce. Our Moveworks Team is dedicated to delivering AI-powered employee experience solutions that help clients transform their HR and IT service delivery practices. We drive significant cost savings, increased efficiency, a stronger competitive advantage, and improved employee experience through intelligent automation and agentic AI capabilities. Qualifications Required: Bachelor's degree 6+ years of experience implementing enterprise platforms, such as Workday, ServiceNow, or similar systems, including configuration, application programming interface (API) integrations, testing, and deployment Ability to travel 0-50%, on average, based on the work you do and the clients and industries/sectors you serve Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future Preferred: 3+ years of experience in client relationship management with senior stakeholders at the Director level or above 3+ years of experience in solution architecture and system design for AI-driven employee experiences 3+ years of experience with Moveworks platform configuration, Agent Studio, or similar conversational artificial intelligence platforms 3+ years of experience collaborating with Human Resources, Information Technology, Information Security, and platform teams to deliver technical solutions 3+ years of program management experience overseeing multiple concurrent workstreams * 2+ years of experience managing consulting engagements or project teams with responsibility for scope, budget, timeline, and resource allocation The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $141,200 to $278,300. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more. Professional development From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see https://www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles's Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers Requisition code: 350526 Job ID 350526

Ready to turn your passion into a career? Do you dream of working in a dynamic and fast-paced logistics environment, supporting mega events in sports, global music tours, and complex film projects? Want the chance to collaborate with some of the biggest names in entertainment and sports? Look no further! We're looking for talented and passionate individuals like you to join our logistics team. Rock-it Cargo, a division of The Rock-It Company, brings iconic moments to the world. We're proud to enable the world's moments in live events across live touring, sports & broadcasting, film & tv and experiential events. Rock-it Cargo operates seamlessly around the globe, bringing life-changing experiences to millions of people every year. At our company, we believe that our people are our greatest asset. As an Operations Agent, you will play a crucial role in an environment where our employees excel and feel valued. Join us in creating unforgettable experiences and driving success in a fast-paced, exciting industry. Apply today and be a part of a team that values teamwork, innovation, diversity, and excellence. The full-time Operations Agent will work from our Rock It Cargo, Linden, NJ office and assist the Operations team with arranging domestic and international transportation by air and ocean for a variety of live performance touring projects. You will be instrumental in the success of our clients' events. The Operations Agent will strategically identify & book the best routes for each project, prepare and review necessary documentation for the shipments, manage key deadlines to keep projects on track, and cultivate lasting client and vendor relationships. In this role, you will work side-by-side with seasoned operations leaders, deepen your expertise across all types of shipments (air, trucking, and ocean) and projects, and build a strong foundation from which to grow your career in the industry. Location: Linden, NJ Work Schedule: This is an on-site role with a schedule that may fluctuate based on workload during weekdays, with evening and/or weekend work as needed. Key Responsibilities: • Execute international air, ocean, and domestic shipments, including time-critical and project-based moves., • Coordinate with carriers, vendors, and internal teams to ensure smooth shipment flow, • Create and maintain accurate operational files in accordance with company standards, • Ensure data accuracy for costing, billing, and operational reporting, • Update systems with real time shipment information, • Adhere to Rock- It Cargo Quality standards and best practices, • Respond to customer inquiries related to shipment status and documentation, • Maintain a service-oriented, solutions-focused mindset., • Identify gaps or inefficiencies and share improvement ideas with leadership, • Participate in training ad system enhancements as introduced., • Other duties related to client projects, as assigned. Qualifications: • 2-3 years of Freight Forwarder experience; experience with live event import/export operations is a plus, • Associate or bachelor's degree or equivalent industry or military experience, • Basic freight forwarder knowledge; confidence with domestic and international air ocean, freight and trucking, • Ability to work in a fast-paced, deadline-driven environment., • An excellent strategic mind - the ideal candidate will be able to expertly prioritize competing responsibilities, meticulously organize multiple complex projects, apply a sharp attention to detail to all work, and handle time-sensitive issues while remaining cool under pressure, • Excellent customer service & vendor relationship management skills, • Comfort with basic Excel functions, and a general ability to learn new software programs quickly, • Ability to pass a security background check Key Competencies • Execution & Follow Through, • Customer Focus, • Attention to Detail, • Time Management & Prioritization, • Team Collaboration, • Problem Solving Don't meet every single requirement? We are dedicated to building an inclusive and authentic workplace, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. What The Rock-It Company Will Offer You: A growing logistics platform within the entertainment and luxury import/export logistics industry providing unrivaled experience and expertise for live events, touring, sports, luxury auto and art freight forwarding. Our teams serve as the premier freight forwarders handling some of the world's biggest concerts, festivals, and sporting events for many high-profile clients across the music & sports industries to make the greatest shows and events possible across the world. Work with some of the most well-known and successful companies in the world. Your work will make an impact and be appreciated by others. Benefits & Perks: • 18 paid vacation days per year to start, plus 2 floating holidays and 6 days of paid sick leave per year, • 11 paid holidays per year, • Comprehensive medical, dental, and vision plans, plus HSA funding and a 401(k) match, • Generous paid parental leave for all parents, • Employer-Funded Basic Life, AD&D, Short-Term Disability, and Long-Term Disability Insurance, • Continuing Education Reimbursement / Charitable Donation Matching, • The opportunity to work with the best in Live Event, Sports, Film, and Entertainment Logistics, • Eligible for free tickets to client events, when available, • Fantastic culture with regular company events, including birthday lunches, sports games, volunteer activities, and more The Rock-It Company is committed to the inclusion of all qualified individuals. As part of this commitment, Rock-It will ensure that persons with disabilities are provided with reasonable accommodation for the hiring process. If reasonable accommodation is needed, please contact hiring@rockitcompany.com. Rock-It provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to legally protected characteristics under applicable federal, state or local law pertaining to the employee's state of employment.

Job Locations US-NY-New York Category (Portal Searching) Security Officer Level Workdays Available Tuesday, Thursday, Saturday, Sunday Shifts Available Morning, Afternoon, Overnight Business Unit AUS Allied Universal, North America's leading security and facility services company, offers rewarding careers that provide you a sense of purpose. While working in a dynamic, welcoming, and collaborative workplace, you will be part of a team that contributes to a culture that positively impacts the communities and customers we serve. As a Security Officer Patrol Agent in New York, NY, you will serve and safeguard clients in a range of industries such as Commercial Real Estate, and more. Join a leading team where flexibility meets opportunity. As a Part-Time Security Officer, you can build a schedule that works for you and explore new roles using our Claim a Shift platform. Learn more: aus.com/earnmore. Join Allied Universal as an unarmed patrol officer at a dynamic commercial real estate location, where you will monitor and patrol assigned areas, maintain a visible presence to help reduce security-related incidents, and deliver outstanding customer service and communication. In this people-first role, you will support daily operations with integrity, reliability, and teamwork while contributing to a professional and welcoming environment. Position Type: Part Time Pay Rate: $22.87 / Hour Job Schedule: DayTime Tue04:00 PM - 09:00 PM Thur08:00 AM - 04:00 PM Sat10:00 AM - 03:00 PM Sun01:00 AM - 05:00 AM What You'll Do: Provide customer service to tenants, visitors, and/or property staff by carrying out security-related procedures, site-specific policies, and when appropriate, emergency response activities at a commercial real estate location. • Respond to incidents, maintenance concerns, and/or critical situations in a calm, problem-solving manner, and communicate relevant information to property management and/or emergency personnel as needed., • Conduct regular and random patrols throughout building common areas, exterior grounds, parking areas, and perimeter locations to help to deter unwanted activity and identify unusual conditions., • Monitor access points, observe site activity, and document incidents, observations, and/or daily activities in accordance with post orders and Allied Universal guidelines., • Assist with enforcing property rules, directing visitors and/or vendors, and reporting hazards, disturbances, or unauthorized activity to the appropriate contacts. Minimum Requirements: • At least 1 year of security-related experience is required., • Be at least 21 years of age., • A current guard card and/or license is preferred., • Customer service experience is preferred., • Be at least 18 years of age for unarmed roles; 21+ years of age for armed roles., • Possess a high school diploma or equivalent., • As a condition of employment, applicants will be subject to a background investigation in accordance with all federal, state, and local laws., • Allied Universal will consider qualified applications with criminal histories in a manner consistent with applicable laws., • As a condition of employment, applicants will be subject to a drug screen to the extent permitted by law., • Licensing requirements are subject to state and/or local laws and regulations and may be required prior to employment., • A valid driver's license will be required for driving positions only. Why Join Us: • Smart Tools: Access to our exclusive technology to view and claim additional shifts to earn more., • Career Growth: Get paid training and access to career growth opportunities., • Financial Benefits: Participate in our retirement savings plan to invest in your future., • Exclusive Perks: Enjoy discounts on top brands and services through our Perks Program. Allied Universal is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race/ethnicity, age, color, religion, sex, sexual orientation, gender identity, national origin, genetic information, disability, protected veteran status or relationship/association with a protected veteran, or any other basis or characteristic protected by law. For more information: www.aus.com. If you have difficulty using the online system and require an alternate method to apply or require an accommodation, please contact our local Human Resources department. To find an office near you, please visit: www.aus.com/offices. 2026-1606576

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.

As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision. As a Research Scientist focused on Frontier Risk Evaluations, you will design and create evaluation measures, harnesses and datasets for measuring the risks posed by frontier AI systems. For example, you might do any or all of the following: • Design and build harnesses to test AI models and systems (including agents) for dangerous capabilities such as security vulnerability exploitation, CBRN uplift, and other high-risk activities;, • Work with government agencies or other labs to collectively scope and design evaluations to measure and mitigate risks posed by advanced AI systems;, • Publish evaluation methodologies and write technical reports for policymakers. Ideally you'd have: • Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance., • Practical experience conducting technical research collaboratively. You should be comfortable building and instrumenting ML pipelines, writing evaluation harnesses, and quickly turning new ideas from the research literature into working prototypes., • A track record of published research in machine learning, particularly in generative AI., • At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development., • Strong written and verbal communication skills to operate in a cross-functional team. Nice to have: • Experience in crafting evaluations and benchmarks, or a background in data science roles related to LLM technologies., • Experience with red-teaming or adversarial testing of AI systems., • Familiarity with AI safety policy frameworks (e.g., NIST AI RMF, EU AI Act, Korea AI Basic Act). Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organizational culture. We will not ask any LeetCode-style questions. If you're excited about advancing AI safety and contributing to our mission, we encourage you to apply, even if your experience doesn't perfectly align with every requirement. 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 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 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.

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.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the_ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process _. As a machine learning intern in our Advance Technology Group at Pinterest, you will be exposed to a full spectrum of ML product development. The team focuses on developing cutting-edge technologies for Pinterest's visual understanding modules and recommender systems. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also having opportunities to deploy features to hundreds of millions of users or conduct research applicable for paper submissions. We offer a 12-week fall internship program remotely or in our San Francisco, Palo Alto, Seattle, or New York offices. Note to applicants: By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process. Internships are 12 weeks paid from September 21 - December 11, 2026. Depending on the team, our fall internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices. What you'll do: • Develop and launch new user features using unique internal datasets and ML techniques, especially in computer vision, generative AI, and responsible AI., • Gain hands-on experience with production ML systems, including algorithmic research, infrastructure, data engineering, training, inference, and product, to deliver innovative solutions. You will be exposed to full-stack production ML systems., • Leverage frontier AI tools and agents to accelerate engineering implementation, including prototyping and experimentation work., • Validate AI-generated outputs through testing, code review, and critical thinking, ensuring solutions are accurate, maintainable, secure, and aligned with team standards., • Use AI to better understand unfamiliar code, investigate bugs, and summarize technical context or documentation., • Contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems, • Write clean, efficient, and sustainable code, • Take proactive ownership over the completion and quality of your tasks and project with minimal guidance from your mentor, manager, and peers What we're looking for: • This role will be on our Visual Search team. We are looking for candidates with experience in Computer Vision, Visual Search, User Understanding, Generative AI, and LLMs., • Ability to legally work full time (40 hours/week) from September-December 2026, • Working towards a Master's degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field, • Mastery of at least one systems language (Java, C++, Python) and one ML framework (Tensorflow, Pytorch, MLFlow), • Proficiency with AI-native engineering, including the design of agent-friendly codebases., • High degree of autonomy in learning new agent-first development tools., • Strong critical thinking when working with AI-generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability., • Comfort iterating on prompts, refining workflows, and adapting AI-assisted approaches based on the problem, context, and constraints., • Experience in research and in solving analytical problems, • Strong communicator and team player. Being able to find solutions for open-ended problems. Preferred Qualifications: • Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields, • Strong passion for research and for answering hard questions with research, • Passion for applied ML and the Pinterest product Why Intern at Pinterest? • Meaningful Work: Contribute to projects that impact millions of users worldwide., • Mentorship: Learn from and be guided by experienced engineers and researchers in the field., • Growth and Development: Participate in professional development workshops and networking events to build your skills and connections. In-Office Requirement Statement: • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection, • This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices. At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found_. US based applicants only The salary for this position is $11,00 monthly. #LI-HYBRID #LI-EB1 Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete_for support.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the_ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process _. As a machine learning intern in our Advance Technology Group at Pinterest, you will be exposed to a full spectrum of ML product development. The team focuses on developing cutting-edge technologies for Pinterest's visual understanding modules and recommender systems. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also having opportunities to deploy features to hundreds of millions of users or conduct research applicable for paper submissions. We offer a 12-week fall internship program remotely or in our San Francisco, Palo Alto, Seattle, or New York offices. Note to applicants: By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process. Internships are 12 weeks paid from September 21 - December 11, 2026. Depending on the team, our fall internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices. What you'll do: • Develop and launch new user features using unique internal datasets and ML techniques, especially in recommendation systems, computer vision, representation learning, generative AI, and responsible AI., • Gain hands-on experience with production ML systems, including algorithmic research, infrastructure, data engineering, training, inference, and product, to deliver innovative solutions. You will be exposed to full-stack production ML systems., • Leverage frontier AI tools and agents to accelerate engineering implementation, including prototyping and experimentation work., • Validate AI-generated outputs through testing, code review, and critical thinking, ensuring solutions are accurate, maintainable, secure, and aligned with team standards., • Use AI to better understand unfamiliar code, investigate bugs, and summarize technical context or documentation., • Contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems, • Write clean, efficient, and sustainable code, • Take proactive ownership over the completion and quality of your tasks and project with minimal guidance from your mentor, manager, and peers What we're looking for: • This role will be on our Visual Search or Applied Science teams. We are looking for candidates with experience in Computer Vision, Visual Search, User Understanding, Recommendation Systems, Reinforcement Learning, ML efficiency optimization, Generative AI, and LLMs., • Ability to legally work full time (40 hours/week) from September-December 2026, • Working towards a PhD degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field, • Mastery of at least one systems language (Java, C++, Python) and one ML framework (Tensorflow, Pytorch, MLFlow), • Proficiency with AI-native engineering, including the design of agent-friendly codebases., • High degree of autonomy in learning new agent-first development tools., • Strong critical thinking when working with AI-generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability., • Comfort iterating on prompts, refining workflows, and adapting AI-assisted approaches based on the problem, context, and constraints., • Experience in research and in solving analytical problems, • Strong communicator and team player. Being able to find solutions for open-ended problems. Preferred Qualifications: • Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields, • Strong passion for research and for answering hard questions with research, • Passion for applied ML and the Pinterest product Why Intern at Pinterest? • Meaningful Work: Contribute to projects that impact millions of users worldwide., • Mentorship: Learn from and be guided by experienced engineers and researchers in the field., • Growth and Development: Participate in professional development workshops and networking events to build your skills and connections. In-Office Requirement Statement: • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection, • This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices. At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found_. US based applicants only The salary for this position is $12,100 monthly. #LI-HYBRID #LI-EB1 Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete_for support.

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.

Partner with AI engineering to define agent behavior escalation logic output quality standards and evaluation frameworks; treat AI pipelines as products that require iteration not one-time launches. We are looking for a Principal Product Manager to own high-impact product initiatives across Security

Provide customer service by carrying out security-related procedures site-specific policies and/or appropriate emergency response activities at a logistics and distribution location. Allied Universal North Americas leading security and facility services company offers rewarding careers that provide

Allied Universal North Americas leading security and facility services company offers rewarding careers that provide you a sense of purpose.While working in a dynamic welcoming and collaborative workplace you will be part of a team that contributes to a culture that positively impacts the communitie

Title: Lead Solutions Engineer - Data Marketplace Duration: 6 months Location: Hybrid in Washington, NJ (3 days onsite per week) Role Summary We are seeking a Solutions Engineer with strong Informatica platform experience and deep automation and integration engineering expertise to design, architect, and deliver end-to-end solutions that enable an enterprise data marketplace and broader data platform capabilities. This role is hands-on and cross-cutting, requiring the ability to architect solutions both within Informatica-including metadata, catalog, integration, governance, data quality, and automation capabilities-and outside of Informatica, integrating with cloud platforms, data engineering ecosystems, analytics tools, and AI-enabled services. The role requires broad technical depth, strong architectural judgment, and a focus on building automated, scalable, and resilient integrations. You will partner closely with product managers, platform teams, data engineers, security, governance, and business stakeholders to evolve the data marketplace and supporting enterprise data services. Key Responsibilities Solution Architecture & Design • Architect end-to-end data marketplace and data platform integrations spanning Informatica products and non-Informatica enterprise tooling., • Design scalable, secure, and reliable architectures with an automation-first and integration-by-design mindset., • Define reference architectures, integration patterns, and extensibility models for marketplace, metadata, governance, and data product use cases. Informatica Platform Enablement, • Design and implement solutions using Informatica capabilities such as data integration, metadata management, data catalog, governance, data quality, and automation services., • Configure and extend Informatica platforms to enable automated data product onboarding, discovery, lineage capture, access workflows, and marketplace interactions., • Partner with Informatica product and professional services teams to close functional gaps, extend platform capabilities, or enable bespoke integrations when required. Automation & Integration Engineering, • Design and build automated integrations across Informatica and enterprise platforms using APIs, events, workflows, and orchestration frameworks., • Enable automation across the data product lifecycle, including onboarding, metadata synchronization, lineage propagation, access provisioning, and de-provisioning., • Build reusable integration components and automation frameworks that reduce manual effort and improve reliability and consistency., • Apply infrastructure-as-code, configuration-as-code, and workflow automation patterns where appropriate. Marketplace & Platform Development, • Lead the design and evolution of internal data marketplace services, APIs, and supporting platform components., • Build and validate proof-of-concepts to de-risk architectural decisions and demonstrate business and platform value., • Support platform extensibility for future use cases, including analytics enablement, AI/ML workflows, agent-driven consumption, and governance integrations. Cross-Functional Collaboration, • Translate business, governance, and platform requirements into automated, implementation-ready technical designs., • Collaborate with data engineering, cloud engineering, security, and governance teams to ensure alignment with enterprise standards., • Act as a technical bridge between platform teams, marketplace consumers, and external vendors. Engineering Excellence & Leadership, • Establish and promote best practices for solution design, automation, performance, security, observability, and reliability., • Provide technical guidance and mentorship to engineers across marketplace, platform, and integration initiatives., • Participate in architectural reviews, technical decision-making, and roadmap planning. Required Skills & Qualifications, • 6+ years of experience designing and delivering enterprise-grade solutions in distributed, cloud-based environments., • 3+ years of hands-on experience architecting and implementing solutions using Informatica platforms, including data integration, metadata management, data catalog, governance, data quality, and automation., • 3+ years of experience in cloud platforms (e.g., AWS, Azure, or equivalent), designing and integrating data and platform services in cloud-native or hybrid environments., • 3+ years of experience in automation and systems integration, including API-based integrations, workflow orchestration, and event-driven architectures., • Demonstrated ability to design solutions that span multiple systems and vendors, not confined to a single platform., • Experience taking solutions from concept and prototype through production in complex enterprise environments., • Strong problem-solving skills with the ability to operate effectively in ambiguous, evolving problem spaces., • Excellent communication skills, with experience explaining complex technical concepts to both technical and non-technical stakeholders. Preferred Qualifications, • Experience with data marketplaces, data products, or enterprise platform enablement initiatives., • Familiarity with governance, access control, metadata, lineage, data contracts, or policy-driven automation., • Experience integrating analytics platforms, semantic layers, or AI/ML workflows with data platforms., • Prior experience in a solutions engineer, platform architect, or technical lead role., • Strong interest in automation, developer enablement, and continuous platform improvement.

Job Description Guest Service Agent SUMMARY: To assist guests efficiently, courteously, and professionally in all Guest Service related functions and to maintain high standards of service and hospitality. RESPONSIBILITIES: • Provide the highest quality of service to the customer at all times. Promptly and effectively deal with guest complaints and requests., • Check guests in and out efficiently and in a friendly manner., • Post guest charges and compute guest bill, collect payment and make change for hotel guests following all cash handling procedures as required by M&R Hospitality Management., • Handle guest mail and messages per established procedures. Be very knowledgeable of Rewards program and promotions., • Develop a thorough knowledge of hotel staff, room locations, room rates, amenities, and selling strategies., • Take reservation requests efficiently., • Answer switchboard in accordance with standards of proper telephone etiquette., • Block rooms and handle special requests., • Monitor room availability., • Handle safe deposits by guests per established procedures., • Keep lobby, back office and desk area clean and presentable., • Have a thorough knowledge of emergency and security procedures., • Offer and properly handle requests for wake-up calls., • Know how to clean guest rooms to standards., • Open and close shift; make cash drops., • Ensure all credit cards, cash, and change fund are balanced throughout each shift., • Inform management of any guest or systems related complaints or problems., • Communicate with incoming staff and management by logging pertinent information in the pass on log., • Keep maintenance informed of all maintenance needs., • Pass on guest lost and found inquiries to management or supervisors., • Assist in marketing effort by completing Company Tracking nightly., • Must wear proper uniform at all times in accordance with the Standards of Appearance. Have a thorough knowledge of emergency procedures., • Practice safety standards at all times., • Be able to move luggage or packages weighing up to 40 lbs., • Each associate will be required to follow the rules as found in the M&R Employee Handbook, • Perform other duties as assigned by management, of which employee is capable of performing

Job Description Guest Service Agent Location: HOLIDAY INN EXPRESS – MIDTOWN WEST 538 West 48th Street | New York, NY 10036 Pay Rate: $19/hr SUMMARY: To assist guests efficiently, courteously, and professionally in all Guest Service related functions and to maintain high standards of service and hospitality. RESPONSIBILITIES: • Provide the highest quality of service to the customer at all times. Promptly and effectively deal with guest complaints and requests., • Check guests in and out efficiently and in a friendly manner., • Post guest charges and compute guest bill, collect payment and make change for hotel guests following all cash handling procedures as required by M&R Hospitality Management., • Handle guest mail and messages per established procedures. Be very knowledgeable of Rewards program and promotions., • Develop a thorough knowledge of hotel staff, room locations, room rates, amenities, and selling strategies., • Take reservation requests efficiently., • Answer switchboard in accordance with standards of proper telephone etiquette., • Block rooms and handle special requests., • Monitor room availability., • Handle safe deposits by guests per established procedures., • Keep lobby, back office and desk area clean and presentable., • Have a thorough knowledge of emergency and security procedures., • Offer and properly handle requests for wake-up calls., • Know how to clean guest rooms to standards., • Open and close shift; make cash drops., • Ensure all credit cards, cash, and change fund are balanced throughout each shift., • Inform management of any guest or systems related complaints or problems., • Communicate with incoming staff and management by logging pertinent information in the pass on log., • Keep maintenance informed of all maintenance needs., • Pass on guest lost and found inquiries to management or supervisors., • Assist in marketing effort by completing Company Tracking nightly., • Must wear proper uniform at all times in accordance with the Standards of Appearance. Have a thorough knowledge of emergency procedures., • Practice safety standards at all times., • Be able to move luggage or packages weighing up to 40 lbs., • Each associate will be required to follow the rules as found in the M&R Employee Handbook, • Perform other duties as assigned by management, of which employee is capable of performing

Job Description Position Title: LOBBY AMBASSADOR - NEW YORK Pay 5 Salary: $24-$25/hr. Rapport is a specialized division of FLIK Hospitality Group focused on all aspects of guest and employee services, meeting and event planning and conference center management. Distinct from recruitment agencies, we do not engage in temporary contracts. Our commitment is to foster long-term career development, allowing ambassadors to enjoy the comprehensive benefits of working directly with us. Rapport invests in all of its ambassadors, allowing them to attain their career aspirations. It starts with a warm welcome to our business, followed by an individual training and development program. You’ll be encouraged to become the very best you can be throughout your career here, and will be provided with the skills to step into your next big role. Becoming a Rapport ambassador means becoming part of a global community, collaborating with diverse talents, sharing ideas, and experiencing a workplace culture that extends beyond local boundaries. Your journey with us is more than just a job: it’s a meaningful career. Job Summary Working as a Lobby Ambassador will allow you the opportunity to work with GREAT people like yourself! You will be surrounded by people who are passionate about what they do and share in our belief in the quality value of delivering superior hospitality to our premier client. The Guest Services Agent will be responsible for engaging all Clients, Guests, Vendors, and Employees entering the lobby and reception center, and will display an energetic, friendly, and approachable demeanor at all times. Essential Duties and Responsibilities: • Supporting the Lobby Manager and ensuring that every guest is greeted with enthusiasm and has a memorable experience., • Acting as way-finders and hospitality services resource for all guests., • Speaking freely and warmly, engaging clients and guests while efficiently assisting in the check in process or escorting them to their destination, • Reviewing and committing to memory the profiles of VIP guests expected for the day., • Recognizing and welcoming VIP guests using service excellence standards., • Communicating effectively with team members and passing on necessary information to colleagues that may arise., • Building and maintaining a relationship with employees and repeat guests, enhancing their overall experience., • Gaining an understanding of the client culture, key areas of activity and creating “transparency” by serving as an extension of the client, • Having a thorough understanding of the Firm’s emergency procedures and being prepared to carry out designated tasks in the event of a fire or other emergency., • Adhering to Hospitality signature look, • Ability to memorize FAQ‘s and speak knowledgably about the building, surrounding areas, transportation, local restaurants’., • Other duties as assigned., • Ensure all issues are communicated to all employees where necessary.Key Competencies Client Care • Greeting all guests/ visitors, ensure eye contact is made within 10 ft. of entrances., • Greeting internal and external clients with a smile, acknowledging them promptly, using the agreed welcome “Good Morning/Good Afternoon …”, • Working in tandem with team members and other building personnel, always ensuring smooth transitions at each stage of guest’s journey. Team Work and Communication • Communicate effectively with peers and Lobby Manager, displaying accuracy and attention to detail both in verbal and written communication., • Maintaining a strong awareness of business activity and communicating all updates with your team members., • Communicating effectively with team members and passing on necessary information to colleagues that may arise during the escorting process., • Providing assistance according to business needs e.g. lunch cover, callouts, and general support., • Supporting the training of new associates and completing checklists accordingly., • Taking part in the cross-training program which covers all areas of the department, when available. Building and History Knowledge • Maintaining basic knowledge of history of building and surrounding areas., • Maintaining basic knowledge of shops, restaurants, and attractions. Personal Presentation and Responsibilities • Maintaining a professional, polite, and considerate manner at all times., • Adhering to uniform and presentation standards as per the dress policy. Working Environment • Maintain a clear, presentable working area at all times and report all maintenance faults/hazards and cleaning requests to the appropriate personnel. Monitor progress to ensure issues are promptly rectified. Escalate to your Supervisor as necessary. Policies and Procedures • Adhere to the Company and the building’s policies and procedures., • Abide by all Security policies and procedures, including access restrictions, Fire and Life Safety information., • Comply with the Reception and Lobby Services Standard Operating Procedures (SOP) Manual and keep up to date with new information issued. Familiarize yourself with the site-specific SOPs. Maintain SOPs as ‘living’ document. Apply to Rapport today! Rapport is a specialized division of FLIK Hospitality Group and a member of Compass Group USA Click here to Learn More about the Compass Story Compass Group is an equal opportunity employer. At Compass, we are committed to treating all Applicants and Associates fairly based on their abilities, achievements, and experience without regard to race, national origin, sex, age, disability, veteran status, sexual orientation, gender identity, or any other classification protected by law. Qualified candidates must be able to perform the essential functions of this position satisfactorily with or without a reasonable accommodation. Disclaimer: this job post is not necessarily an exhaustive list of all essential responsibilities, skills, tasks, or requirements associated with this position. While this is intended to be an accurate reflection of the position posted, the Company reserves the right to modify or change the essential functions of the job based on business necessity. We will consider for employment all qualified applicants, including those with a criminal history (including relevant driving history), in a manner consistent with all applicable federal, state, and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York Fair Chance Act. Certain positions may require Florida Level 2 background screening. Details: https://info.flclearinghouse.com/ Applications are accepted on an ongoing basis. Rapport maintains a drug-free workplace. Associates in Rapport are offered many fantastic benefits. • Medical, • Dental, • Vision, • Life Insurance/ AD, • Disability Insurance, • Retirement Plan, • Paid Time Off, • Holiday Time Off (varies by site/state), • Associate Shopping Program, • Health and Wellness Programs, • Discount Marketplace, • Identity Theft Protection, • Pet Insurance, • Commuter Benefits, • Employee Assistance Program, • Flexible Spending Accounts (FSAs), • Paid Parental Leave, • Personal Leave Associates may also be eligible for paid and/or unpaid time off benefits in accordance with applicable federal, state, and local laws. For positions in Washington State, Maryland, or to be performed Remotely, click here or copy/paste the link below for paid time off benefits information. https://www.compass-usa.com/wp-content/uploads/2023/08/2023WageTransparencyFlikHospitality.pdf Req ID: 1534879 Rapport a specialized division of FLIK Hospitality Group

Job Description Salary: $24 - $25 / hour Rapport is a specialized division of FLIK Hospitality Group focused on all aspects of guest and employee services, meeting and event planning and conference center management. Distinct from recruitment agencies, we do not engage in temporary contracts. Our commitment is to foster long-term career development, allowing ambassadors to enjoy the comprehensive benefits of working directly with us. Rapport invests in all of its ambassadors, allowing them to attain their career aspirations. It starts with a warm welcome to our business, followed by an individual training and development program. You’ll be encouraged to become the very best you can be throughout your career here, and will be provided with the skills to step into your next big role. Becoming a Rapport ambassador means becoming part of a global community, collaborating with diverse talents, sharing ideas, and experiencing a workplace culture that extends beyond local boundaries. Your journey with us is more than just a job: it’s a meaningful career. Job Summary The Guest Service Agent (GSA) is responsible for establishing a warm, welcoming and professional atmosphere for all clients, executives and staff members at all times. Located in the Lobby, the GSA will be the first point of contact for visitors to the area, making them feel comfortable, directing them to their appointments and meetings and assisting them during their stay. Key Responsibilities: • Properly greet and handle visitors with a smile and maintaining eye contact through the entire interaction. Following established procedures with regard to both expected and unexpected arrivals, coordinating with in-house security as appropriate. Addressing guests and clients by name whenever possible., • Answering telephones in a friendly, professional manner, taking messages with accuracy, transferring phone calls, and appropriately handling or referring questions and requests. Proper telephone techniques include always putting a smile in one’s voice and enhancing personalization by using names., • Implementing established security policies and procedures with regard to arriving and departing visitors, contractors, delivery persons, etc., • Managing closely all activity in the internal visitor processing system., • Register all guest activity and liaise with other centers on visitor processing., • Acting as an overall Hospitality Services resource to guests, visitors, and employees in providing way-finding and amenities within building, commutation and transportation, community retail, neighborhood amenities, and organizational information., • Handling car service requests for visitors and staff members., • Standing during peak business hours and when greeting guests throughout the day., • Communicating requests to the appropriate internal support departments such as, building maintenance (heating and cooling issues), information technology (computer issues), Audio Visual technology (meeting room technical support), and mail room (package pickups and deliveries)., • Having a thorough understanding of the emergency procedures and being prepared to carry out designated tasks in the event of a fire or other emergency., • Adhering to uniform and grooming policies., • Maintaining the attractive, neat appearance of the Reception area, • Troubleshooting a wide variety of requests and situations, both for guests and for members., • Gaining an understanding of the company culture, key areas of activity and creating “transparency”., • Assist with coverage in other locations as needed adhere to flexible schedules to meet business demands., • Prepare and submit daily reports to appropriate recipients., • Participate in daily, weekly, and monthly meetings., • Abiding by “20 Second Rule” and notifying manager on duty of any occurrences., • Capacity to take on additional duties as assigned; Additional adjustments or responsibilities may be changed or added as necessary., • Follow protocol for personalized email confirmations and internal correspondence. ADDITIONAL RESPONSIBILITIES: • Cross train in conference centers and Trading Floors to provide coverage and support during PTOs and sick call outs., • Learn EMS reservation system to assist with room bookings and re-confirmations while covering conference centers and Trading Floors.Preferred Qualifications:, • A genuine sense of hospitality, with a commitment to delivering the Platinum Service® Standard in all aspects of the GSA job., • The ability to work under pressure, prioritizing tasks and juggling many jobs simultaneously, while constantly interacting with visitors in a public environment., • Excellent listening and oral communication skills., • Basic computer skills and knowledge of office technology / equipment., • Punctual, dependable and dedicated to achieving operational excellence, down to the smallest of details., • Discreet, ethical and committed to maintaining a high degree of confidentiality., • A consistently professional approach, with a mindset to take ownership and responsibility within and outside one’s job domain., • Two to three years’ experience in a client service / reception position within a hospitality or corporate environment. Apply to Rapport today! Rapport is a specialized division of FLIK Hospitality Group and a member of Compass Group USA Click here to Learn More about the Compass Story Compass Group is an equal opportunity employer. At Compass, we are committed to treating all Applicants and Associates fairly based on their abilities, achievements, and experience without regard to race, national origin, sex, age, disability, veteran status, sexual orientation, gender identity, or any other classification protected by law. Qualified candidates must be able to perform the essential functions of this position satisfactorily with or without a reasonable accommodation. Disclaimer: this job post is not necessarily an exhaustive list of all essential responsibilities, skills, tasks, or requirements associated with this position. While this is intended to be an accurate reflection of the position posted, the Company reserves the right to modify or change the essential functions of the job based on business necessity. We will consider for employment all qualified applicants, including those with a criminal history (including relevant driving history), in a manner consistent with all applicable federal, state, and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York Fair Chance Act. Certain positions may require Florida Level 2 background screening. Details: https://info.flclearinghouse.com/ Applications are accepted on an ongoing basis. Rapport maintains a drug-free workplace. Associates in Rapport are offered many fantastic benefits. • Medical, • Dental, • Vision, • Life Insurance/ AD, • Disability Insurance, • Retirement Plan, • Paid Time Off, • Holiday Time Off (varies by site/state), • Associate Shopping Program, • Health and Wellness Programs, • Discount Marketplace, • Identity Theft Protection, • Pet Insurance, • Commuter Benefits, • Employee Assistance Program, • Flexible Spending Accounts (FSAs), • Paid Parental Leave, • Personal Leave Associates may also be eligible for paid and/or unpaid time off benefits in accordance with applicable federal, state, and local laws. For positions in Washington State, Maryland, or to be performed Remotely, click here or copy/paste the link below for paid time off benefits information. https://www.compass-usa.com/wp-content/uploads/2023/08/2023WageTransparencyFlikHospitality.pdf Req ID: 1538547 Rapport a specialized division of FLIK Hospitality Group

Job Description Overview 170+ Years Strong. Industry Leader. Global Impact. At Pinkerton, the mission is to protect our clients. To do this, we provide enterprise risk management services and programs specifically designed for each client. Pinkerton employees are one of our most important assets and critical to the delivery of world-class solutions. Bonded together, we share a commitment to integrity, vigilance, and excellence. Pinkerton is an inclusive employer who seeks candidates with diverse backgrounds, experiences, and perspectives to join our network of industry subject matter experts. The Agent will perform a variety of assignments including concierge-level, residential, or event security, response services, basic driving, and investigations. Schedule for this position is Wednesday - Friday 07:00 - 19:30. Responsibilities • Represent Pinkerton’s core values of integrity, vigilance, and excellence., • Provide the client with concierge-level security at the company location and/or events., • Deescalate tense situations or individuals that may arise., • Write detailed incident reports following any incident, occurrence, or variance that warrants documentation., • Conduct quality investigations and complete investigative reports., • Provide response services related to emergency and crisis planning, high risk terminations, workforce disruptions, natural disaster, civil unrest, and threat monitoring., • Transport the client to and from company location and/or events., • Secure the client’s residential perimeter and review CCTV, manage access controls, and respond to alarms, as needed., • Identify and escalate equipment deficiencies/failures., • All other duties, as assigned. Qualifications High School Diploma or GED with law enforcement, military, and/or security experience. NY Security Guard License is required. • Concierge-level customer service knowledge., • Able to complete thorough and accurate investigations and reports., • Access control systems, CCTV, and alarm monitoring experience., • Problem resolution skills., • Able to interact effectively at all levels and across diverse cultures., • Effective verbal and written communication skills., • Computer knowledge; Microsoft Office. Working Conditions: With or without reasonable accommodation, requires the physical and mental capacity to effectively perform all essential functions; • Regular computer usage., • Occasional reaching and lifting of small objects and operating office equipment., • Exposure to stressful situations, such as challenging individuals who are in or approaching an unauthorized area., • Rapid and effective decision-making during unusual or emergency situations., • Frequent sitting, standing and/or walking for long periods of time and may involve climbing stairs and walking up inclines and on uneven terrain., • Travel, as required. Pinkerton is an equal opportunity employer to all applicants and positions without regard to race/ethnicity, color, national origin, ancestry, sex/gender, gender identity/expression, sexual orientation, marital/prenatal status, pregnancy/childbirth or related conditions, religion, creed, age, disability, genetic information, veteran status, or any protected status by local, state, federal or country-specific law.

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 Description Be Part Of A High-Performing Team: This opportunity sits within a leading global financial institution known for its strong governance, regulatory rigor, and commitment to data privacy and risk management. The Compliance function plays a critical role in safeguarding sensitive data while enabling business operations across regions. The team operates in a highly collaborative environment, working closely with Legal, Information Security, Procurement, and Technology groups to embed privacy-by-design principles into enterprise processes. This is a fast-paced setting where precision, accountability, and influence are key to driving compliance initiatives forward. What’s In Store For You: Engagement: W2 only Opportunity to work cross-functionally with senior stakeholders across IT, Legal, and Data teams Exposure to enterprise-level privacy programs and regulatory frameworks Hands-on involvement in shaping privacy risk practices within a global organization How You Will Make An Impact: • Conduct privacy risk assessments including PIAs and DPIAs across business and technology initiatives, • Translate regulatory requirements into practical, actionable guidance for stakeholders, • Partner with IT, Procurement, Legal, Infosec, and business teams to evaluate data handling practices, • Support the implementation of privacy-by-design principles across projects and workflows, • Identify and mitigate privacy risks while ensuring alignment with internal policies and external regulations, • Influence stakeholders and act as a change agent in strengthening privacy compliance programs Are you an experienced privacy risk and compliance professional ready to make an impact? • 5–7 years of experience in privacy, compliance, or risk management roles, • Strong hands-on experience conducting PIAs, DPIAs, or similar privacy assessments, • Solid understanding of global privacy regulations and frameworks (GDPR, CCPA, etc.), • Ability to translate complex regulatory requirements into business-friendly guidance, • Experience working cross-functionally with IT, Legal, and Security teams, • Strong analytical mindset with attention to detail and documentation rigor, • Proven ability to manage multiple priorities and operate independently, • Strong communication and stakeholder management skills, • Familiarity with privacy and compliance terminology and frameworks

Job Description Location: New York, NY Position: Banking Associate (2–6 years) Salary Range: $225,000 – $420,000 (scale-based, depending on class year) Role Overview A prestigious international law firm seeks a mid-level Banking Associate to join its New York office. The team represents major financial institutions, private credit funds, alternative lenders, and corporate borrowers on a wide range of sophisticated financing transactions. Responsibilities • Advise lenders and borrowers on domestic and cross-border financing transactions, • Draft and negotiate credit agreements, security documents, and ancillary financing instruments, • Support asset-based lending, cash-flow lending, and sponsor-backed leveraged finance deals, • Manage deal workflow and supervise juniors, • Conduct due diligence and support closings Ideal Background • 2–6 years of Big Law banking/finance experience, • Experience representing agent banks, direct lenders, or sponsors, • Strong drafting/negotiation skills, • NY Bar required

Job Description Project Overview HireScale is partnering with a high-growth enterprise SaaS organization to embed a Forward Deployed Engineer (FDE) directly into customer-facing and product-adjacent workflows. This is a full-service, cutting-edge engineering engagement focused on bridging the gap between complex enterprise customer needs and production-grade software solutions—delivered with speed, precision, and modern AI capabilities. This role sits at the intersection of engineering, product, solutions architecture, and applied AI. You will work directly with internal teams and enterprise customers to design, build, and deploy tailored software solutions that extend core SaaS platforms into real-world operational environments. Unlike traditional engineering roles, this engagement is highly embedded and outcome-driven. You are not just building features—you are solving real customer problems in production environments, often under tight constraints, ambiguous requirements, and high expectations for reliability and scale. A core part of this role is leveraging the latest AI technologies—LLMs, agentic systems, and AI-assisted development workflows—to accelerate solution design, implementation, and iteration. You will be expected to move fluidly between rapid prototyping and production-grade engineering, ensuring every solution is both fast to deliver and architecturally sound. This role requires strong experience in enterprise software or B2B SaaS environments, where system integration, security, scalability, and reliability are critical. You will frequently operate within complex customer ecosystems involving APIs, data pipelines, identity systems, and existing enterprise infrastructure. The ultimate goal is to translate complex enterprise needs into deployed, scalable software solutions—while continuously improving product capability through real-world deployment feedback. Scope of Work & Core Capabilities • Design and deploy production-grade software solutions directly within enterprise customer environments, • Translate ambiguous, high-complexity customer requirements into scalable technical implementations, • Build integrations across SaaS platforms, APIs, data systems, and enterprise infrastructure, • Develop full-stack solutions using modern engineering practices and cloud-native architectures, • Leverage cutting-edge AI tools and frameworks (LLMs, agentic workflows, AI orchestration systems) to accelerate development and solution design, • Rapidly prototype, validate, and productionize customer-specific use cases, • Collaborate with product and engineering teams to extend core platform capabilities based on field insights, • Work directly with enterprise stakeholders to troubleshoot, iterate, and refine deployed solutions, • Ensure solutions meet enterprise standards for security, scalability, performance, and reliability, • Build reusable components, frameworks, and patterns that generalize across customers, • Operate in complex technical environments involving authentication systems, data pipelines, and distributed architectures, • Document architectures, deployment patterns, and integration guides for long-term scalability, • Act as a technical bridge between customers, product, and engineering teams Engagement Brief This engagement is focused on delivering real-world, production-grade software solutions inside enterprise environments while continuously improving platform capabilities through direct customer deployment. Success is measured by deployed outcomes, customer impact, system reliability, and the ability to scale solutions across multiple enterprise use cases. • Target Outcomes: Deployed enterprise SaaS solutions that solve real customer problems, improve operational efficiency, and extend core platform capabilities. Deliver scalable integrations, production-grade features, and AI-accelerated workflows that reduce implementation time and increase customer success outcomes., • Duration: 3–6 months (full-service engagement), • Commitment: Full-service, embedded engineering role, • Budget: Flexible based on scope, complexity, and enterprise deployment requirements, • Start Date: ASAP Portfolio Requirements: • 2–3 relevant projects in enterprise SaaS, platform engineering, solutions engineering, or forward deployed engineering roles, • Demonstrated end-to-end ownership (customer problem → system design → production deployment → measurable impact), • Experience building or integrating with large-scale B2B SaaS systems, • Proven use of modern AI tools (LLMs, agent workflows, AI-assisted development, or similar technologies), • Evidence of working in complex enterprise environments (APIs, integrations, security, scalability constraints), • Supporting materials such as architecture diagrams, production case studies, GitHub repositories, or technical documentation 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.