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AI Customer Engineer

Job in Bridgewater, Plymouth County, Massachusetts, 02324, USA
Listing for: Cognizant
Full Time, Part Time position
Listed on 2026-07-13
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 130000 - 230000 USD Yearly USD 130000.00 230000.00 YEAR
Job Description & How to Apply Below
Position: 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.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

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…
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