Staff AI Customer Engineer

Staff AI Customer Engineer (Associate Director) About the role As a Staff AI Customer Engineer in Cognizant's AI Market Unit, you will lead client discovery, solution shaping, and AI-driven opportunity development that helps organizations realize tangible business value from generative AI and advanced AI. Embedded with our most strategic clients, you will operate as a trusted technical advisor and emerging thought leader—commanding the room with senior executives, shaping end-to-end AI architectures, and driving complex engagements from initial conversation through MVP delivery and handoff. You will bring strong executive presence to every client interaction, orchestrate cross-functional teams, and actively develop the practitioners around you. This role sits at the frontier of enterprise AI delivery and demands high agency, technical depth, and the credibility to influence at the most senior levels of client organizations. In this role, you will: Lead early-stage discovery and art-of-the-possible ideation sessions engaging CxO and senior executive audiences with authority and confidence to frame high-value AI opportunities. Embed with strategic clients to build production-ready AI applications owning the end-to-end engineering lifecycle from prototype through deployment. Shape end-to-end AI solution architectures defining agentic platforms, data pipelines, ML components, integration patterns, and partner technologies. Build and sustain trusted executive relationships serving as the senior client-facing voice throughout the engagement lifecycle and proactively identifying new AI opportunities as they emerge. Partner with clients throughout the MVP build cycle managing executive-level expectations, communicating progress with clarity and poise, enabling client teams, and ensuring a comprehensive, well-documented handoff to delivery and service line teams for scaled implementation. Develop and present client-ready solution artifacts including proposals, Statements of Work, architecture decks, and executive narratives that make complex AI accessible to senior business audiences. Apply architecture decisions that balance quality, safety, latency, cost, and model risk establishing reusable deployment patterns that benefit the broader practice. Orchestrate cross-functional pursuit teams across sales, engineering, delivery, and ecosystem partners ensuring consistent, differentiated outcomes for clients. Identify and codify repeatable deployment patterns contributing insights back to product, engineering, and practice leadership. Mentor and develop junior engineers through deal reviews, coaching, and development planning. Work model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 2-3 days a week in a client or Cognizant office. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs. What you need to have to be considered Experience: 8+ years in AI/ML engineering, solution architecture, pre-sales, or technical consulting. Executive Presence: Proven ability to engage C-suite and senior business executives with authority, composure, and influence; commanding credibility in high-stakes client settings. Production Delivery: Demonstrated success deploying GenAI-powered solutions in client or enterprise environments at scale. Discovery & Solutioning: Proven ability to lead structured discovery, ideation workshops, and solution design for complex AI opportunities. Client Relationship Management: Track record of building and sustaining senior executive relationships and growing account presence over the engagement lifecycle. These will help you stand out Executive Presence & Credibility: Commanding trust and authority in C-suite and senior executive settings; navigating complex organizational dynamics and influencing key decisions with confidence and composure. Ideation & Art-of-the-Possible: Guiding senior client leaders toward transformative AI scenarios and measurable business value creation. Solutioning Excellence: Designing scalable, feasible, and differentiated AI solutions across diverse industry contexts. AI/ML Technical Depth: Comprehensive mastery of GenAI, LLMs, ML engineering, data pipelines, and agentic architectures in production environments. Handoff & Continuity: Ensuring MVP-to-delivery transitions are thorough, well-documented, and set service line teams up for successful scaled implementation. High Agency: Ability to navigate ambiguity, operate autonomously, and represent Cognizant at the highest level in client environments. Experience in a specific enterprise vertical; background in AI consulting, technical advisory, or professional services. Technical Skills & Tools Languages & Engineering: Strong production coding across Python and at least one additional language; fluency in enterprise integration patterns. AI/ML & GenAI: Deep production expertise in LLMs, agentic architectures, evaluation frameworks, and MLOps/LLMOps at scale. Cloud Platforms: Multi-hyperscaler depth across AWS Bedrock, Google Vertex AI, and Azure AI Foundry; owns model selection, routing, open-weight self-hosting, and cost/latency optimization. Agent & Orchestration Frameworks: Designs multi-agent and stateful agent systems; selects among LangGraph, CrewAI, Microsoft Agent Framework, and vendor SDKs based on control, latency, and cost trade‑offs; applies orchestration patterns (supervisor/worker, human-in-the-loop checkpoints). RAG & Retrieval: Designs enterprise retrieval architectures; evaluates vector store and indexing trade-offs for accuracy, scale, and cost. LLMOps — Eval & Observability: Establishes the evaluation and observability strategy for an engagement (LangSmith, Langfuse, Arize Phoenix, or Braintrust), including self-hosted options for data‑residency requirements. Responsible AI & Governance: Embeds Responsible AI by design — model risk, safety, and bias controls — aligned to NIST AI RMF, ISO 42001, and the EU AI Act; applies sector compliance (SOC 2, HIPAA, PCI) as relevant. Practice Contribution: Codifies reusable patterns, accelerators, and reference implementations that build team IP. Salary and Other Compensation The annual salary for this position is between $130,000-$230,000 depending on experience and other qualifications of the successful candidate. Benefits Medical/Dental/Vision/Life Insurance Paid holidays plus Paid Time Off 401(k) plan and contributions Long-term/Short-term Disability Paid Parental Leave Employee Stock Purchase Plan Disclaimer The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, based on applicable law. Work Authorization Must be legally authorized to work in the United States without the need for employer sponsorship, now or any time in the future. #J-18808-Ljbffr Cognizant