Staff AI Customer Engineer

Cognizant

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Seattle, WA
Salary
$130,000–$230,000 / yr
Posted
127 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $217k
This role $180k
$113k $285k
below market most similar roles pay here above market

This role pays less than 77% of similar roles. Most pay $183,674–$250,000 — the blue band above. At the midpoint, this role pays about $180k versus about $217k for comparable roles.

Based on 240 similar postings.

Employer

About Cognizant

Cognizant is a multinational IT services and consulting company offering digital transformation, technology, and business process services. It serves clients across financial services, healthcare, manufacturing, and other industries worldwide.

Cognizant currently has 330 open roles on FindRole.

Listed pay typically runs $100,000–$135,000 across 211 roles with salary data.

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View all roles at Cognizant

At a glance

TL;DR · Staff AI Customer Engineer

The Staff AI Customer Engineer (Associate Director) joins the AI Market Unit to lead client discovery, solution shaping, and opportunity development for generative AI and advanced AI. This role involves embedding with strategic clients to build production-ready applications, owning the engineering lifecycle from prototype to deployment. Key responsibilities include shaping end-to-end architectures, managing executive relationships, and mentoring junior engineers. The position requires technical mastery of Python, LLMs, agentic architectures, and MLOps. You will utilize tools like AWS Bedrock, Google Vertex AI, Azure AI Foundry, LangGraph, and CrewAI while designing RAG and retrieval systems. The work focuses on balancing quality, safety, latency, and cost while ensuring compliance with frameworks like NIST AI RMF and ISO 42001 to solve complex enterprise AI delivery problems.

What you'll do

  • Lead discovery and "art-of-the-possible" ideation sessions with C-suite and senior executive audiences.
  • Design end-to-end AI solution architectures including agentic platforms, data pipelines, and ML components.
  • Own the full engineering lifecycle for production-ready AI applications from prototype to deployment.
  • Build and maintain trusted relationships with senior executives to identify new business opportunities.
  • Create client-ready artifacts such as proposals, Statements of Work, and technical architecture decks.
  • Balance architectural decisions regarding quality, safety, latency, cost, and model risk.
  • Orchestrate cross-functional teams across sales, engineering, and delivery to ensure consistent outcomes.
  • Mentor junior engineers through deal reviews, coaching, and professional development planning.

What we're looking for

  • Must have 8+ years of experience in AI/ML engineering, solution architecture, pre-sales, or technical consulting.
  • Must possess executive presence to engage and influence C-suite and senior business executives in high-stakes settings.
  • Demonstrated success deploying GenAI-powered solutions in enterprise environments at scale.
  • Proven ability to lead structured discovery, ideation workshops, and solution design for complex AI opportunities.
  • Proficiency in Python and at least one other programming language with fluency in enterprise integration patterns.
  • Deep expertise in LLMs, agentic architectures, MLOps/LLMOps, RAG, and multi-hyperscaler platforms like AWS Bedrock, Google Vertex AI, and Azure AI Foundry.
  • Ability to implement Responsible AI practices aligned with NIST AI RMF, ISO 42001, and the EU AI Act.
  • Work Authorization.

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