AI Customer Engineer III

Cognizant

Hybrid

Quick summary

Work type
Hybrid
Location
Seattle, WA
Salary
$117,000–$210,000 / yr
Posted
3 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $207k
This role $164k
$102k most similar roles pay here $262k

This role pays less than 76% of similar roles. Most pay $167,249–$246,127 — the shaded band above. At the midpoint, this role pays about $164k versus about $207k 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 36 open roles on FindRole.

Listed pay typically runs $134,000–$188,000 across 33 roles with salary data.

Most-posted roles

View all roles at Cognizant

At a glance

TL;DR · AI Customer Engineer III

As an AI Customer Engineer III at Cognizant's AI Market Unit, you will lead complex AI solution shaping and MVP delivery efforts for strategic clients, serving as a primary technical authority across architecture, delivery quality, and executive relationships. You will define client agentic AI roadmaps, architect enterprise-scale multi-agent systems, drive build-vs-buy decisions, establish evaluation standards, and represent Cognizant in high-level discussions. Additionally, you will manage MVP builds, hand off projects to service teams, identify repeatable deployment patterns, and mentor engineers. This role requires deep expertise in agentic frameworks like LangGraph or AutoGen, multi-cloud fluency across AWS Bedrock, Azure AI Foundry, and GCP Vertex AI, advanced AI engineering skills, and a track record of successful enterprise-scale GenAI deployments. You must also navigate organizational resistance to drive AI adoption and have domain depth in financial services, healthcare, supply chain, retail, or manufacturing.

What you'll do

  • Own technical success in strategic customer engagements.
  • Define client's AI roadmap with high-value use cases and metrics.
  • Architect enterprise-scale multi-agent systems for complex projects.
  • Drive build-vs-buy decisions, model selection, and platform choices.
  • Establish evaluation and observability standards for engagement success.

What we're looking for

  • 10+ years of hands-on AI engineering experience with a track record of enterprise-scale deployments.
  • Deep expertise in at least two agentic frameworks and multi-cloud platforms (AWS Bedrock, Azure AI Foundry, GCP Vertex AI).
  • Proven ability to own full engagements from ambiguity to deployment, ensuring measurable business outcomes.
  • Strong executive presence and judgment under ambiguity, capable of navigating C-suite discussions effectively.
  • Experience in recruiting, mentoring, and developing engineering teams within an AI practice.
  • Extensive knowledge in AI security, responsible AI governance, and emerging tech evaluation.

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