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Job Description VP, Head of Responsible AI Our client is seeking a visionary VP, Head of Responsible AI to architect trust across our enterprise AI initiatives. Reporting jointly to the CIO and General Counsel, you will accelerate AI adoption while embedding ethical, legal, and security guardrails in a data-centric operations environment. In a data-centric operations environment, this role serves as the bridge between technical innovation and legal safeguard — enforcing a dual mandate: accelerating AI adoption while minimizing systemic risk. Responsibilities: • Define and operationalize a 3-year Responsible & Secure AI maturity roadmap aligned with client commitments and global regulations., • Co-lead the AI Governance Committee with CIO/GC to unify AI approval and deployment decisions., • Serve as enterprise spokesperson on AI Trust for clients, regulators, and industry forums., • Establish the "Source of Truth" for all AI assets (model registries, lineage, audit trails)., • Oversee red-teaming, stress testing against prompt injection, model extraction, and data poisoning., • Embed security into LLMOps/DevSecOps pipelines for "Secure by Design" agentic systems., • Ensure RAG/fine-tuning workflows prevent PII leakage and client data cross-contamination., • Implement protocols to discover and govern shadow AI across business units., • Drive 100% compliance with EU AI Act, NIST AI RMF, ISO 42001, and US state laws (e.g., Colorado AI Act)., • Mandate bias detection/mitigation and algorithmic fairness protocols., • Enforce Human-in-the-Loop (HITL) requirements for high-stakes AI operations., • Support client negotiations with transparency on AI data protection., • Partner with Business Units to RAI-enable workflows without bypassing risk guardrails., • Vet foundation model providers (OpenAI, Anthropic) and open-source libraries., • Ensure AI systems align with EXL's cloud, data governance, and platform strategies., • Oversee policy adherence via audits, dashboards, and compliance reviews., • Lead enterprise training and culture-building for responsible AI., • Build/mentor a team of AI governance leads, ethicists, and security experts. Qualifications: Required: • 15 years in technical, legal, or risk leadership; 5 years dedicated to AI/ML governance, security, or ethics., • Hybrid expertise: Discuss Transformer architectures/vector DBs with engineers AND liability/indemnification with Legal., • Deep fluency in NIST AI RMF, ISO 42001, EU AI Act., • Proven experience building "Governance-as-a-Service" in global, regulated, client-facing enterprises., • Direct experience with LLMOps, RAG security, red-teaming, shadow AI mitigation., • Track record leading AI governance committees or maturity programs., • Comfortable in client-facing roles providing AI trust assurances.

Job Description We build AI agents that actually work in enterprise environments — not prototypes, not demos. We need engineer's who can own the entire agent stack: a production frontend, a robust backend, a properly secured API and identity layer, a memory architecture that scales, and LLM integrations that are model-agnostic and built to last. You'll be deployed on client engagements as the lead technical architect and builder of agentic systems running in AWS, OCI, and Azure. You'll work directly with client stakeholders, translate complex requirements into working systems, and leave behind infrastructure clients can operate and extend. You'll also help Trilagen productize our delivery approach as we scale the practice. If you've only ever built agents that run on your laptop, this isn't the role. If you've shipped agentic systems into production cloud environments and know exactly what breaks and why — we want to talk. What you'll own Full-stack agent development You design and build the entire application — not just the AI layer. This means a React or Next.js frontend with streaming, real-time agent UX; a Python or Node.js backend that orchestrates agent logic, manages state, and exposes clean APIs; and containerized, cloud-deployed services that operations teams can actually run. You own the repo, the CI/CD pipeline, the deployment, and the runbook. Multi-cloud deployment Production agent systems on all three major clouds: AWS (Lambda, ECS/Fargate, Bedrock, API Gateway), Oracle OCI (OKE, Functions, AI Services), and Azure (AKS, Azure OpenAI Service, Azure Functions). You understand the tradeoffs between platforms and can advise clients on where to run what and why. LLM integration and model strategy You have deep, hands-on experience with the leading LLM providers and their APIs — Anthropic Claude (Messages API, tool use, streaming, context management), OpenAI (GPT-4o, Assistants API, function calling), and Google Gemini (Gemini Pro/Flash, Vertex AI). You architect model-agnostic integration layers so clients aren't locked in, and you know how to select, swap, and benchmark models for specific agent tasks. Agentic architecture You understand how to design systems that do real multi-step work: tool use and function calling patterns, ReAct and plan-and-execute loops, agent-to-agent orchestration and handoffs, human-in-the-loop checkpoints, retry and failure recovery strategies, and cost/latency optimization across long-running agent workflows. Frameworks like LangGraph, CrewAI, AutoGen, and the Model Context Protocol (MCP) are tools in your toolbox, not the ceiling of your knowledge. Memory and context layer You've designed and implemented memory architectures for production agents: short-term conversational context, long-term persistent memory, RAG pipelines with vector databases (Pinecone, pgvector, OpenSearch, Weaviate), semantic search, and hybrid retrieval strategies. You know when to use each and how to keep them performant at scale. Security and identity layer This is non-negotiable for our client base. You build the security envelope around every agent system you ship: OAuth 2.0 / OIDC authentication flows, API key lifecycle management, role-based access control enforced within agent workflows, secrets management (AWS Secrets Manager, Azure Key Vault, OCI Vault), audit logging for agent actions, prompt injection defense, and data residency controls. Familiarity with Okta or SailPoint ISC is a direct advantage on our engagements. Requirements • 4+ years of software engineering experience with at least 2 years building and shipping LLM-powered or agentic applications in production cloud environments, • Hands-on depth with at least two of the three major LLM providers: Anthropic Claude, OpenAI, and Google Gemini — at the API level, not just via wrappers, • Full-stack proficiency: Python (FastAPI, Flask, or similar) backend, React or Next.js frontend, REST and WebSocket API design, • Production experience on at least two of: AWS, Azure, OCI — with real deployments, not sandbox accounts, • Demonstrated ability to design and implement agent memory and retrieval systems using vector databases and RAG, • Strong command of AI security practices: auth, RBAC, secrets management, audit logging, and prompt-level safeguards, • Experience with all three LLM providers (Anthropic, OpenAI, Gemini) and model-agnostic orchestration patterns, • Okta and/or SailPoint ISC integration experience Benefits: • 401K, • Health Insurance, • Dental Insurance, • Paid Time Off, • Paid Sick Leave

Job Description SAP Supply Chain & AI Automation Specialist – new role Engagement: Contract 1 year, with possible extension Location: Chicago, IL / Salt Lake City, UT / New York, NY (3 days onsite) Role purpose We are looking for a senior domain expert to lead the analysis, design, and delivery of intelligent supply chain solutions for our energy bar manufacturing operations. This person will combine deep SAP expertise in lot traceability, production planning, and quality management with the ability to build, configure, and showcase AI-powered applications in Microsoft Copilot Studio. The role sits at the intersection of SAP functional consulting, demand planning, and Microsoft Power Platform — translating complex operational problems into working digital tools that business users can adopt immediately. Key responsibilities SAP analysis & traceability • Lead end-to-end analysis of lot and batch traceability across SAP MM, PP, QM, and WM modules, identifying gaps in batch genealogy, shelf-life tracking, and FEFO compliance., • Map traceability data flows across SAP tables (MCHA, MCH1, CHVW, MSEG) and document current-state problems with clear root-cause analysis., • Design and implement configuration improvements within SAP S/4HANA to resolve traceability gaps, including batch classification, expiry date management, and goods movement tracking., • Analyse existing MRP models and demand planning processes, identifying inefficiencies in reorder point logic, safety stock calculations, and planned order management., • Build improved demand planning models that account for ingredient shelf life, seasonal demand patterns, and batch-specific supply constraints., • Configure and fine-tune MRP parameters in SAP including planning horizons, lot sizing, and procurement lead times specific to food manufacturing., • Design, build, and deploy intelligent agents using Microsoft Copilot Studio, connecting to SAP via OData APIs and the SAP Power Platform connector., • Deliver working applications including a natural-language lot traceability agent, a demand planning assistant, a recall impact assessment tool, and an executive supply chain summary copilot., • Build Power Automate flows to orchestrate SAP data retrieval, exception alerting, and approval workflows triggered through Copilot Studio., • Showcase solutions to business stakeholders through structured demonstrations, collecting feedback and iterating rapidly on the applications., • Work closely with supply chain managers, quality teams, warehouse operatives, and senior leadership to understand pain points and translate them into technical requirements., • Produce clear process documentation, solution design documents, and user guides for every application delivered. SAP lot traceability Hands-on experience with SAP batch management, FEFO, shelf-life settings, and batch where-used reports in MM/PP/QM/WM. Familiarity with GS1 traceability standards. SAP MRP & demand planning Proven ability to configure and optimise MRP in SAP S/4HANA — reorder points, safety stock, lot sizing, MRP types. SAP IBP or APO experience is a strong advantage. SAP modules Functional expertise across at minimum three of: MM, PP, QM, WM/EWM, SD. Food or FMCG manufacturing experience required. Microsoft Copilot Studio Ability to design and build custom copilots, topics, actions, and Power Automate flows. Experience connecting copilots to external systems via APIs. Power Platform Proficiency in Power Automate, Power BI, and Dataverse. Experience using SAP connectors within the Power Platform ecosystem. API & integration Working knowledge of OData APIs, REST, and SAP BTP or equivalent integration middleware for connecting SAP to external applications. Food manufacturing domain Understanding of food safety regulations, allergen management, traceability requirements (FSMA, HACCP), and production scheduling in an FMCG environment. Stakeholder communication Able to present complex SAP and AI topics clearly to non-technical business users. Experience facilitating workshops and delivering live system demonstrations. Desirable: · SAP Certified Application Associate in MM, PP, or QM. · Microsoft Power Platform Functional Consultant certification (PL-200) or Copilot Studio certification. · Experience with Azure AI Services, Azure OpenAI, or Generative AI integration within Power Platform. · Familiarity with GS1 digital link standards and barcode/RFID-based traceability systems. · Prior experience delivering SAP transformation projects in a food, beverage, or nutraceutical business.

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. As a Senior Software Engineer, you'll redefine the post-purchase experience, building 0 to 1 proactive support flows that reduce customer anxiety and strengthen trust at critical moments. You'll transform our transactional email and SMS systems by centralizing infrastructure and improving how we communicate with millions of customers. In parallel, you'll modernize MyAccount, a high-traffic, high-impact surface, enabling faster iteration and better experiences across teams. This role sits at the intersection of product, platform, and customer experience. You won't just optimize existing flows; you'll define how customers experience StubHub after purchasing and building the systems that power it. About the Active Support Team: The Active Support team is transforming post-purchase experiences. Our mission is to resolve as many customer issues as possible instantly, without a live agent, while ensuring exceptional service when human support is needed. Location: Hybrid (3 days in office/2 days remote) – New York, NY What You'll Do: • Design step-by-step flows for complex scenarios (orders, replacements, refunds), • Own critical post-purchase experiences at scale, • Partner with Product, Design, and AI teams to iterate quickly, • Leverage OpenAI, Claude, and internal systems for reliable interactions, • Improve performance, scalability, and system reliability, • High ownership, high impact: own critical parts of the customer journey at global scale, • Own and build 0 to 1 experiences at massive scale by creating innovative, seamless post-purchase customer journeys across web and native platforms., • Fast iteration: ship quickly, learn from real users, and continuously improve, • Product-driven collaboration: work closely with Product and Design with real influence on direction, • Modern tech, real challenges: build with AI, real-time systems, and distributed infrastructure, • Product & Front-End Craft, • Built and shipped high-quality, customer-facing experiences at scale, • Drove measurable improvements in key metrics (conversion, engagement, CSAT), • Strong product intuition for post-purchase and trust-critical moments, • Experience leveraging and evolving design systems, with a focus on performance and polish, • Able to turn ambiguity into simple, intuitive, and well-crafted user experiences, • Systems Thinking, • Work seamlessly across APIs, backend systems, and real-time data flows, • Proven ability to improve latency, reliability, and scalability at scale, • Think in systems across frontend, backend, and communications (email/SMS) to deliver cohesive, end-to-end experiences, • Impact Mindset, • Focused on outcomes, not output, • Track record of measurable impact, • Experience in metrics-driven, experiment-led environments, • Communicate results clearly with data, • Tech Stack, • We don't require specific technologies as great engineers can learn what they need quickly, • Backend experience with languages like Java, Go, or Python is valued, • Experience with modern front-end frameworks (React, React Native, Vue, Angular, Next.js), • Strong UI craft, design systems, and performance mindset, • JavaScript and TypeScript are used across the stack; we care more about what you've built than the tools you've used What We Offer:, • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed., • Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options. The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate's qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub's total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. Salary Range$200,000—$250,000 USDAbout UsStubHub is the world's leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. For California Residents: California Job Applicant Privacy Notice found hereWe are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.

Job Description Capgemini is at the forefront of Generative AI innovation, helping Financial Services clients industrialize GenAI and Agentic AI platforms at enterprise scale. We are seeking an experienced and innovative AI Product Engineer – Agentic Platforms to join our Financial Services Artificial Intelligence & Business Lines (FS‑ABL) practice. This role is ideal for a consulting technologist with deep expertise in modern GenAI tooling, agentic system design, and enterprise SDLC, who can partner directly with clients to envision, design, develop, and deploy Agentic AI platforms in regulated environments. In this role, you will work at the intersection of client advisory, AI product engineering, and delivery execution, helping banks, insurers, and capital markets firms transition from GenAI pilots to production‑grade, governed, multi‑agent systems. You will apply leading GenAI frameworks and LLM platforms — including Anthropic, OpenAI, LangChain, LangGraph, DSPy, and vector databases—while operating across the full Agentic SDLC. P&C Insurance knowledge and experience is a significant plus. Additionally, familiarity with core insurance platforms like Guidewire, DuckCreek or Majesco will be extremely helpful to succeed in this role. We are looking for candidates across all levels of experience and expertise - junior through senior level AI Product Engineers. Requirements Client Advisory & Product Vision • Partner directly with Financial Services clients to identify, prioritize, and shape Agentic AI use cases across customer operations, underwriting, claims, risk, compliance, finance, and technology., • Lead client workshops to define agent personas, responsibilities, autonomy boundaries, human‑in‑the‑loop checkpoints, and escalation logic., • Translate evolving business needs into agentic product backlogs, roadmaps, and MVP definitions., • Design and implement multi‑agent architectures using modern GenAI tooling, including:, • Planner, executor, reviewer/critic, and supervisor agents, • Tool‑calling and function‑calling agents, • Memory‑enabled agents (conversation, semantic, episodic, and structured memory), • Leverage LangChain and LangGraph for agent orchestration, workflows, and control flow., • Apply DSPy and declarative prompt optimization techniques for repeatability, performance tuning, and regression control., • Design agent interaction patterns such as hierarchical agents, collaborating agents, and event‑driven agent workflows., • Own delivery across the full Software Development Lifecycle (SDLC), extending it into a formal Agentic SDLC, including:, • Agent design specifications and behavior contracts, • Prompt, policy, and tool versioning, • Simulation environments and offline evaluation, • Automated testing of agent flows and guardrails, • Controlled rollout, telemetry‑driven optimization, and continuous learning, • Build production‑grade AI services primarily using Python, integrating:, • LLM providers such as Anthropic (Claude), OpenAI, and open‑source models, • Retrieval‑Augmented Generation (RAG) using vector databases (e.g., Pinecone, FAISS, Milvus, Weaviate), • Implement CI/CD pipelines for agent code, prompts, and policies., • Implement agent observability including tracing, decision logging, tool usage, and failure analysis., • Apply evaluation frameworks for hallucination detection, consistency checks, and fitness scoring., • Design feedback loops incorporating human‑in‑the‑loop review and reinforcement., • Design Agentic AI platforms aligned with Financial Services regulatory expectations, including:, • Auditability and traceability of agent decisions, • Model and prompt explainability, • Data privacy and security controls, • Resilience and fail‑safe mechanisms, • Embed guardrails and policies addressing hallucination risk, bias, unauthorized actions, and escalation failures., • Provide technical leadership and mentorship to consulting delivery teams., • Contribute to internal GenAI accelerators, agent frameworks, and reusable assets., • Support RFPs, proposals, and client solution designs with credible GenAI and agentic architectures. This position comes with competitive compensation and benefits package: • Competitive salary and performance-based bonuses, • Comprehensive benefits package, • Career development and training opportunities, • Flexible work arrangements (remote and/or office-based), • Dynamic and inclusive work culture within a globally known group, • Private Health Insurance, • Retirement Benefits, • Paid Time Off, • Training & Development, • *Note: Benefits differ based on employee level About Capgemini Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 420,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group €22.5 billion in revenues in 2025.

Job DescriptionCompany Description Accel Learning is a New Jersey-based tutoring and test-prep center serving 3,000+ students across K–12 and beyond. We prepare students for some of the most competitive exams in the country - SAT, ACT, ISEE, BCA, SSAT, HSPT, GRE, GMAT, Regents, NJSLA, OLSAT, SCAT, TerraNova, Praxis, PSEG, Math Olympiad, AMC, MathCounts, and more. Our Mission: Make rigorous, personalized learning accessible. Today our instructors build question banks manually in WordPress. We're changing that by building an AI-powered question generation engine that creates exam-ready, curriculum-aligned questions at scale. Job Description You will architect and implement the core AI pipeline that powers Accel's test creation system. • Work closely with the founder to design and build an AI-powered content generation system from the ground up. You'll contribute to meaningful parts of the product end-to-end from how the system ingests and understands source material, to how it produces and validates outputs, to how instructors interact with and review what the system generates., • On the engineering side, you'll build and iterate on LLM-driven pipelines, work with retrieval and embedding techniques to ground outputs in real source material and develop backend services and APIs that tie everything together., • Beyond pure coding, you'll be expected to think about output quality and building evaluation steps, catching failure modes, and improving the system based on real instructor feedback. You'll research new tools and techniques as the AI space evolves and bring relevant ideas directly into the product., • Strong foundation in software engineering: data structures, APIs, system design, • Proficiency in Python (primary language for AI/ML pipeline work), • Experience with REST APIs and at least one database (PostgreSQL preferred), • Ability to work independently, ask sharp questions, and iterate fast, • Strong debugging and problem-solving instincts, • Demonstrated side projects or shipped code (GitHub portfolio required), • Genuine interest in AI systems and education technology, • Direct experience with LLM APIs: OpenAI, Anthropic Claude, or Google Gemini, • Experience with NLP pipelines: text chunking, tokenization, semantic search, • Knowledge of LaTeX syntax and math rendering libraries (MathJax, KaTeX), • Experience with image generation APIs or SVG programmatic generation, • Familiarity with AI evaluation frameworks or automated test harnesses for LLM outputs, • Cloud platform experience: AWS, GCP, or Vercel for deployment, • Experience with job queues: Celery, Bull, or similar, • Exposure to educational content standards or psychometrics is a bonus Additional Information All your information will be kept confidential according to EEO guidelines.

Job Description Location: New York, NY Our client is a distinguished provider of legal services on a global scale. As an Innovation AI Developer, you will serve as a key member of the client’s Innovation Engineering team, responsible for designing and implementing intelligent, secure, and scalable AI applications to enhance the delivery of legal services and optimize business operations. In this capacity, you will collaborate closely with attorneys, business leaders, data scientists, and infrastructure teams to translate complex legal and operational needs into effective AI solutions with measurable outcomes. You will be involved in the entire AI lifecycle—from initial use case identification through production deployment and system monitoring—utilizing large language models (LLMs), retrieval-augmented generation (RAG), traditional machine learning approaches, and modern cloud architectures to advance efficiency, quality, and informed decision-making. This position offers the opportunity to develop enterprise-level AI capabilities at one of the world’s premier law firms, operating at the forefront of advanced engineering and impactful legal practice. The firm is committed to upholding rigorous performance standards and fostering a culture oriented toward growth. Individuals demonstrating initiative and dedication will be afforded opportunities for increased responsibilities and long-term career advancement within the organization. Must be a U.S. Citizen or Green Card holder - our client cannot accept work visas and/or sponsorships at this time Desired Qualifications and Experience: · Bachelor’s degree in computer science or a related field preferred. · 7+ years of experience in professional services, legal, or technical environments, with demonstrated hands-on experience building and deploying AI applications. · AI Engineering Expertise – Strong Python development skills and experience designing and implementing RAG pipelines, working with vector databases (e.g., Pinecone), and building AI agents and multi-service AI architectures—particularly within Azure environments. · Cloud & DevOps Proficiency – Familiarity with Azure services (e.g., Cognitive Search, Cosmos DB, AI Studio), as well as Docker, Kubernetes, and CI/CD practices that support scalable, production-ready deployments. · Experience designing and maintaining LLM evaluation frameworks (e.g., Promptfoo, OpenAI Evals, LangSmith) and integrating structured and unstructured data sources into AI systems. · Experience operating within environments that require strict adherence to security, privacy, and governance standards for sensitive data. · Business Acumen & Communication – Proven ability to conduct stakeholder discovery, quantify return on investment (ROI), and translate ambiguous challenges into clearly defined AI requirements. · Strong communication skills with the ability to explain complex technical concepts to non-technical audiences. · Legal Domain Exposure (Preferred) – Experience supporting legal use cases such as due diligence, contract review, or legal research, and prior law firm experience. Summary of Responsibilities: · AI Solution Architecture & Development – Collaborate with legal and business stakeholders to identify high-value AI use cases, define measurable success criteria (e.g., efficiency, quality, risk reduction), and architect scalable solutions using Python and modern AI frameworks such as OpenAI, Azure OpenAI, Hugging Face, LangChain, and LangFlow. · Retrieval-Augmented Generation (RAG) & Intelligent Systems – Design, build, and maintain RAG pipelines using vector databases and knowledge graph solutions. Develop AI agents that automate multi-step workflows and enable sophisticated task orchestration. · Create reusable libraries, patterns, and documentation that support long-term innovation and maintainability across the firm’s AI ecosystem. · Design and maintain LLM evaluation frameworks to measure accuracy, robustness, safety, and alignment to use-case objectives. Ensure AI systems meet firm security, privacy, and governance standards. · Support continuous integration and continuous delivery (CI/CD) workflows, containerization (Docker), and orchestration (Kubernetes) to ensure production readiness. Partner with infrastructure and security teams to support hybrid cloud and on-premise deployments in sensitive data environments. · Serve as a subject matter resource for attorneys and business teams, advising on prompt engineering, model selection, and architecture decisions. Support pilot implementations, user training, and feedback loops to drive adoption and measurable impact. · Evaluate new tools, open-source libraries, and vendor platforms to inform firm AI strategy. Contribute to internal education and thought leadership on AI best practices. How to Apply: Our client has hired us to help facilitate the initial interview and recruiting process. Please attach your current version of your resume and make sure you complete our initial pre-screening questions that will be used for determining which applicants will be considered at this time. Thank you for your interest. Company DescriptionWe Place People is a premiere Executive Search Firm working with leading companies nationwide. We have a direct relationship with our clients and a 95% hire rate! We differentiate ourselves from other firms & work closely with our candidates throughout the interview process. WE PLACE PEOPLE is what we do best!We Place People is a premiere Executive Search Firm working with leading companies nationwide. We have a direct relationship with our clients and a 95% hire rate! We differentiate ourselves from other firms & work closely with our candidates throughout the interview process. WE PLACE PEOPLE is what we do best!

Job DescriptionSalary: ElPreventa Tcnico Senior es responsable de liderar el diseo, dimensionamiento y presentacin de soluciones tecnolgicas complejas, alineando las necesidades de los clientes con las capacidades tcnicas de la organizacin. Su funcin combina visin tcnica, habilidades comerciales y capacidad de comunicacin ejecutiva, apoyando a los equipos de ventas y delivery en la elaboracin de propuestas de alto impacto orientadas a transformacin digital, nube, modernizacin de aplicaciones y seguridad. Responsabilidades Principales 1. Consultora y Diseo de Soluciones • Levantar requerimientos tcnicos y funcionales con clientes y stakeholders., • Disear arquitecturas de referencia sobre Microsoft Azure y AWS, aplicando principios de cloud-native, DevOps, y microservicios., • Elaborar documentos de diseo tcnico, diagramas de arquitectura, y roadmaps de migracin o modernizacin., • Recomendar frameworks, lenguajes, patrones de diseo y metodologas de desarrollo acordes al contexto del cliente. 2. Apoyo a Ventas y Propuestas • Preparar presentaciones tcnicas, demos, y sesiones de discovery junto al equipo comercial., • Desarrollar propuestas tcnico-econmicas que detallen alcance, beneficios, riesgos, costos y SLA., • Participar en RFPs, RFIs y workshops con reas de tecnologa, seguridad y negocio del cliente., • Identificar oportunidades de cross-selling y up-selling de servicios cloud, desarrollo y soporte. 3. Buenas Prcticas y Gobierno Tcnico • Promover estndares de arquitectura segura, observabilidad, CI/CD y automatizacin., • Aplicar buenas prcticas de ingeniera de software (SOLID, Clean Architecture, IaC, API-first)., • Alinear las soluciones con las polticas de ciberseguridad, cumplimiento y privacidad (ISO 27001, GDPR, Ley 155-17, etc.)., • Participar en revisiones de cdigo, diseo y calidad tcnica durante fases de preventa o PoC. 4. Innovacin y Capacitacin • Mantenerse actualizado en tendencias de IA, automatizacin, contenedores, serverless, y seguridad cloud., • Contribuir con contenido tcnico interno: playbooks, whitepapers y kits de propuesta., • Mentorizar a ingenieros y consultores junior del rea comercial y tcnica. Requisitos del Cargo Formacin Acadmica: • Ingeniero en Sistemas, Ciencias de la Computacin, Electrnica o reas afines., • Deseable Maestra o especializacin en Arquitectura de Software, Cloud Computing o Ciberseguridad. Experiencia: • Mnimo 5 a 8 aos de experiencia en desarrollo y arquitectura de software., • Al menos 3 aos de experiencia comprobada en preventa tcnica o consultora de soluciones cloud., • Experiencia en presentaciones tcnicas y workshops con clientes empresariales. Conocimientos Tcnicos Avanzados: • Cloud Platforms: Microsoft Azure (App Services, AKS, Functions, DevOps, AD/Entra ID, Key Vault, Monitor) y AWS (ECS, Lambda, RDS, S3, IAM, CloudFormation)., • Ingeniera de Software: .NET, Node.js, Python, CI/CD, API Management, patrones de integracin., • Seguridad y Cumplimiento: Azure Security Center, Defender for Cloud, AWS Security Hub, MFA, IAM, RBAC, DLP, Compliance., • Office 365 / Microsoft 365: Integraciones con Azure AD, Exchange Online, SharePoint, Power Platform., • Metodologas giles: Scrum, Kanban, DevOps, SAFE, con dominio de herramientas como Azure DevOps, Jira o GitHub Enterprise., • Infraestructura como Cdigo: Terraform, ARM/Bicep, CloudFormation, Ansible., • Conocimientos Deseables: Arquitectura Zero Trust, FinOps, automatizacin con IA (OpenAI, Cognitive Services). Competencias Clave • Comunicacin efectiva con pblicos tcnicos y no tcnicos., • Orientacin a resultados y pensamiento analtico., • Alta capacidad de documentacin tcnica y storytelling comercial., • Liderazgo colaborativo y autogestin., • Capacidad para trabajar bajo presin en contextos de RFP o cierres comerciales. Certificaciones Valoradas • Microsoft Certified: Azure Solutions Architect Expert / Azure DevOps Expert., • AWS Certified Solutions Architect Professional o Associate., • Certified Scrum Master (CSM) o SAFe Agilist., • Microsoft 365 Certified: Security Administrator o Enterprise Administrator Expert., • ISO 27001 Lead Implementer / CompTIA Security+.

Objective of Role: We are seeking a highly skilled Prompt Engineering & AI Solutions Specialist to design, develop, and optimize enterprise-grade AI solutions using frontier large language models (LLMs). The ideal candidate will have hands-on experience with Microsoft Copilot Studio, Azure OpenAI, a

Pharmacy Expert / Domain Eval QC Lead This is a contract opportunity working directly with our client, OpenAI! This contractor will support the Frontier Evals team in executing a high-priority evaluation campaign by monitoring the end-to-end data collection process, performing quality control on i

Industry/Sector Not Applicable Specialism IFS - Internal Firm Services - Other Management Level Manager Job Description & Summary At PwC, our people in brand management, marketing and sales focus on collaboration to develop and execute strategic sales and marketing initiatives.

As part of that you'll shape Notion's model strategy and work directly with frontier AI labs (OpenAI, Anthropic, Google) to evaluate and launch new models. Evaluate and launch new models with leading research labs. We do not discriminate in hiring or any employment decision based on race, color, rel

A leading AI research organization is seeking a Sales professional to manage customer accounts and develop strategies to leverage AI technology.The ideal candidate will have over 8 years of experience in platform-as-a-service sales, a strong understanding of AI, and a customer-centric approach.Respo

San Francisco, New York City, Remote - US, Seattle.San Francisco, New York, Seattle — $335K – $350K • Offers Equity.Remote - US — The base pay offered may vary depending on multiple individualized factors, including market location.The base pay offered may vary depending on multiple individu

San Francisco, New York City, Remote - US, Seattle.San Francisco, New York, Seattle — $290K • Offers Equity.Remote - US — The base pay offered may vary depending on multiple individualized factors, including market location.The base pay offered may vary depending on multiple individualized fac

A leading AI research company is seeking an experienced sales professional to manage key accounts and drive the deployment of AI solutions.The ideal candidate will have over 14 years of relevant sales experience and a proven track record of achieving significant revenue targets.Responsibilities incl

Job DescriptionReporting to the CIO, the Director of Technology Services is a visionary technology leader and strategic collaborator responsible for shaping the direction, development, and management of the organization's technology services. As a strategic partner, the Director ensures that technology serves as a catalyst for achieving institutional goals and enhancing operational excellence. The Director oversees technology infrastructure, cybersecurity, and cloud strategy, drives AI innovation, and partners on digital transformation initiatives while leading a diverse team of technology experts. The Whitney is at an important inflection point in how it governs and delivers technology services. The Director will join during a period of active evolution — bringing structure, governance, and leadership to a function that is growing in strategic importance to the institution. Candidates who are energized by building, not just managing, will find this role especially compelling. Responsibilities Strategy & Roadmap • Develop a comprehensive 3-year technology services and solutions road map that aligns with and enables the Museum’s overall strategic plan, mission, and goals., • Collaborate with business units to understand needs and deliver effective technology solutions., • Lead initiatives to modernize and streamline technology operations., • Build consensus and drive organizational change through compelling technology solutions and services.Technology Operations & Infrastructure, • Oversee delivery of all technology services including infrastructure, applications, and end-user support., • Ensure high availability, scalability, and performance across all systems and platforms., • Govern a blended service delivery model — including internal staff and external managed service partnerships — ensuring SLA accountability, escalation discipline, and institutional continuity., • Collaborate with cross-functional teams to support technological needs across departments., • Oversee cloud strategy and migration planning, balancing performance, cost, and risk.Artificial Intelligence, • Identify opportunities to leverage AI, machine learning, and automation to support Museum priorities., • Oversee responsible AI initiatives, including ethical considerations, bias detection, transparency, and implications for the Museum., • Monitor AI developments and assess potential applications across the organization., • Ensure AI initiatives comply with data privacy regulations and security standards.Collaboration and Stakeholder Engagement, • Build relationships with department heads and Museum leadership to proactively identify needs, communicate roadmap plans, and drive adoption., • Stay informed on trends related to collaboration technologies to guide and inform workflow improvements and innovations., • Engage with industry counterparts to align workplace technology standards and share best practices.Cybersecurity & Compliance, • Develop and champion a comprehensive, multi-year cybersecurity strategy that protects the museum's digital assets, collections data, donor information, and operational systems., • Ensure compliance with relevant regulations (e.g., GDPR, SOC 2)., • Develop and enforce comprehensive cybersecurity policies, procedures, standards, and governance frameworks across all systems and departments., • Lead security risk assessment processes, identifying, quantifying, and prioritizing technology risks to museum operations.Team & Vendor Leadership, • Lead, mentor, and develop the Technology Services team, fostering innovation, collaboration, and a strong service culture., • Establish clear roles, responsibilities, and performance metrics for all team members., • Manage vendor and managed service relationships — governing contracts, scope alignment, and renewals., • Manage the technology budget, ensuring cost-effective solutions and optimal resource allocation.Requirements, • 6+ years of progressive information technology leadership, with demonstrated experience managing enterprise infrastructure and teams., • Proven ability to govern hybrid delivery models including managed service or outsourced IT partnerships., • Strong knowledge of cybersecurity, cloud computing, and digital transformation best practices., • Experience with AI platforms (e.g., Microsoft Copilot, OpenAI, Anthropic) and translating AI investment into measurable outcomes., • Track record implementing and scaling Microsoft 365, Teams, and related collaboration platforms., • Demonstrated ability to lead through organizational transition and build resilient, sustainable operating models., • Excellent communication and stakeholder engagement skills — comfortable presenting to senior leadership and non-technical audiences., • Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.Unusual Working Conditions, • On call 24 hours per day, 7 days per week., • After-hours work when upgrades, implementations, or testing cannot be carried out during the business day., • Lifting heavy equipment., • Salary range is $160,000 - 170,000 and will be commensurate with experience, • Medical, Dental, Vision, 403(b) elections, • Generous Paid Time Off benefits, • Commuter benefits - parking and mass transit, • Admission to world-renowned museums across the city and nationally About the Whitney The Whitney Museum of American Art, founded in 1930 by the artist and philanthropist Gertrude Vanderbilt Whitney, houses the foremost collection of American art from the twentieth and twenty-first centuries. From her vision arose the Whitney Museum of American Art, which has been championing the most innovative art of the United States for 86 years. The core of the Whitney’s mission is to collect, preserve, interpret, and exhibit American art of our time and serve a wide variety of audiences in celebration of the complexity and diversity of art and culture in the United States. Through this mission and a steadfast commitment to artists themselves, the Whitney has long been a powerful force in support of modern and contemporary art and continues to help define what is innovative and influential in American art today. EEO Statement The Whitney Museum of American Art is an Equal Opportunity Employer. The Museum does not discriminate because of age, sex, religion, race, color, creed, national origin, alienage or citizenship, disability, marital status, pregnancy, partnership status, caregiver status, veteran status, gender (including gender identity), sexual orientation, genetic information, predisposition, or carrier status, arrest or conviction record to the extent required by applicable law, credit history, domestic violence, sexual violence, or stalking victim status, or any other factor prohibited by law. The Museum hires and promotes individuals solely on the basis of their qualifications for the job to be filled. The Museum encourages all qualified candidates to apply for vacant positions at all levels. Powered by JazzHR Z7v3Ceg7im

Job Description We are: NoGood is an award-winning, tech-enabled growth consultancy that has fueled the success of some of the most iconic brands. We are a team of growth leads, creatives, engineers and data scientists who help unlock rapid measurable growth for some of the world’s category-defining brands. We bring together the art and science of strategy, creative, content and growth expertise into a single cohesive team, powered by robust data analytics and proprietary AI tech. Based in NYC, we support partners globally, with a client partner roster that includes VC-backed startups, scale-ups, and Fortune 500 companies such as Nike, Oura, Spring Health, TikTok, Intuit, P&G, and more. Since 2016, we’ve been delivering what others only promise. Why settle for good enough if you can be up to NoGood? NoGood is looking for a Marketing Operations Manager to own the operational backbone of our agency, and to automate as much of it as possible. This role sits at the intersection of automation engineering, project management, and agency operations. You won’t just manage processes and timelines; you’ll actively design, build, and maintain the automation infrastructure that powers how the entire company operates: from time tracking compliance and ClickUp hygiene to multi-system workflows in Make and n8n that eliminate manual overhead across every team. You’re someone who sees a repetitive manual process and immediately starts mapping the trigger, conditions, and actions to automate it. You’re comfortable in webhook payloads and API docs, at home in no-code/low-code environments, and can write a script when the platform can’t handle the logic. You understand data flow across a SaaS tool stack and can debug a broken Make scenario as fast as you can build a new one. You’re equal parts automation builder and ops enforcer. The person who brings structure without slowing teams down, and eliminates toil without needing to be asked twice. We are: NoGood is an award-winning, tech-enabled growth consultancy that has fueled the success of some of the most iconic brands. We are a team of growth leads, creatives, engineers and data scientists who help unlock rapid measurable growth for some of the world’s category-defining brands. We bring together the art and science of strategy, creative, content and growth expertise into a single cohesive team, powered by robust data analytics and proprietary AI tech. Based in NYC, we support partners globally, with a client partner roster that includes VC-backed startups, scale-ups, and Fortune 500 companies such as Nike, Oura, Spring Health, TikTok, Intuit, P&G, and more. Since 2016, we’ve been delivering what others only promise. Why settle for good enough if you can be up to NoGood? We are looking for: We're looking for a technical Growth Operations Manager to join our Growth Systems & Engineering team. You'll own the automation infrastructure and operational workflows that keep NoGood running, building the integrations and pipelines that eliminate manual work, and then owning the processes that run on top of them. This isn't a pure builder role and it isn't a pure ops role. You'll split your time between building automations in n8n, maintaining the systems that connect our tool stack, and owning the operational layer those systems support, time tracking compliance, project hygiene, platform access, and internal SOPs. If you've built real automations, worked with APIs, and also have the operational instinct to know what needs to be systematized in the first place, this role is for you. You have: • 1–2+ years in marketing operations, agency operations, or growth/marketing operations — agency experience strongly preferred, • End-to-end automated workflows using n8n and native platform automations across a modern ops and marketing tool stack, • Webhook-based integrations and REST API connections between SaaS platforms, • Automated reporting pipelines that surface project health, time tracking gaps, and team utilization — no manual data pulls, • Lightweight Python or JavaScript scripts when no-code tools hit their limits, • Experience with cloud data warehouses or BI/reporting tools (e.g. BigQuery, Looker Studio), • Familiarity with Slack API or Google Workspace APIs, • Experience with Claude API, OpenAI API, or LLM-integrated automation patterns You will do: • Design, build, and maintain automated workflows using n8n and native platform automations, covering time tracking, project management, onboarding/offboarding, client reporting, and internal ops, • Own the full automation lifecycle: requirements gathering, flow design, build, testing, error handling, monitoring, and documentation, • Integrate disparate tools via APIs and webhooks into cohesive, maintainable automated workflows, • Build automated reporting and alerting pipelines that surface time tracking gaps, capacity overloads, project health signals, and utilization variance to leadership, without manual data pulls, • Identify and systematically eliminate manual operational tasks across every team, targeting reduction in manual ops overhead, • Write lightweight Python or JavaScript scripts when automation platforms require custom logic, data transformation, or API handling beyond what no-code supports, • Own project management workspace structure, task hygiene, and delivery timelines across all client engagements, • Enforce time tracking compliance across the team, including automated gap flagging and reporting, • Own platform security and access management. Onboarding/offboarding automations, SSO/2FA enforcement, and permission audits, • Build and maintain internal SOPs for project intake, status reporting, and delivery workflows so the team operates from a single playbook, • Support the rollout of AI-assisted internal workflows and agents as we roll them out across the agency Benefits & Perks Of Becoming a NoGoodie: • Earn More, Together: Base Pay + Profit Sharing & Commissions Opportunities, • Health First: Premium Medical, Dental & Vision Coverage, • Flex Work Environment: hybrid at HQ and remote globally, • Set Up Shop: Home Office Stipend, • Recharge Anytime: Unlimited PTO Plan, • Family First: Paid Parental Leave Plan, • Secure Your Future: 401(k) Plan with Employer Matching, • Level Up: Mentorship & Career Growth Support, • Always Be Learning: Access to Top-tier Resources & Industry Experts, • Work Hard, Play Harder: Quarterly Team Trips (Onsite and Offsite), • Mind & Body Wellness: Gym, Wellness, and Access to Mental Health Plans, • Fuel Your Day: Free Lunch, Snacks, Cold Brew, & Happy Hours, • Grow With Us: Endless Opportunities to Lead & Succeed, • Keep on Shining: Ongoing Employee Development Programs EEO & Compensation Transparency Statement: NoGood is committed to pay transparency and equity among all employees and provides employees an environment where pay transparency and dialogue on compensation are allowed. NoGood complies with federal, state, and local laws on compensation, pay transparency, and pay equity. We take factors including geographic location, education, training, skillset, market rates, certifications, and more into consideration when constructing pay ranges for new and existing roles within our organization. The compensation range for this position is $75,000 - $90,000. At NoGood, we understand that diversity in the workplace is vital to a company’s success and growth. We strive to make sure that our team members are included and have a sense of belonging that makes us a great company to work with and a great company to work for. To that end, NoGood is committed to Equal Opportunity Employment and complies with all Equal Opportunity Employment laws. We will consider all qualified applicants without regard to race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will work to make reasonable accommodations available in the job application and interview process, to perform essential duties of the job function, and to retrieve other benefits and privileges of employment with our organization. BEWARE OF FRAUD! Please be aware of potentially fraudulent job postings or suspicious activity by persons that are posing as NoGood team members, recruiters, and HR employees. Our team will contact you regarding job opportunities from email addresses ending in @nogood.io or @higoodie.com. Additionally, we do utilize our ATS- Workable- to help us schedule initial screening calls. Job seeking is hard- we’re sorry that scammers have added this element to your search for something new. Stay vigilant out there!

Bachelor's Degree in Computer Science or a related discipline, or equivalent experience 8+ years of professional engineering experience, with at least 3 years in a technical lead or staff engineer capacity on multi-team delivery Expert-level proficiency in Azure architecture, including Azure OpenAI

Lead end-to-end development for our AI platform Partner with engineers to design prompt strategies Serve as the technical translator between engineering and the organization Drive systematic improvement in answer quality and automation rates Work with partners at OpenAI to evaluate next generation m

A leading AI research company is seeking a Principal Security Engineer for its Infrastructure Security team.This role involves designing and implementing security controls across multi-cloud and datacenter environments to protect sensitive data and uphold security best practices.Ideal candidates wil

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. The Corporate Security team at OpenAI is dedicated to ensuring the safety and security of our people and facilities. As the Risk Analyst,