AI Customer Engineer

Cognizant

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$140,000–$200,000 / yr
Posted
10 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $203k
This role $170k
$128k most similar roles pay here $257k

This role pays less than 69% of similar roles. Most pay $162,687–$244,050 — the shaded band above. At the midpoint, this role pays about $170k versus about $203k 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 32 open roles on FindRole.

Listed pay typically runs $134,000–$194,000 across 29 roles with salary data.

Most-posted roles

View all roles at Cognizant

At a glance

TL;DR · AI Customer Engineer

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As an AI Customer Engineer at a leading tech company, you will collaborate closely with sales teams, industry specialists, and engineering to transform priority AI use cases into MVPs, POCs, and commercially viable solutions. Your role involves guiding clients through early-stage ideation to validated solution designs, focusing on the intersection of AI technology, solution architecture, and business value. Day-to-day responsibilities include driving discovery sessions, identifying high-impact opportunities, building prototypes, and creating compelling client-ready content such as SoWs and proposals. You will need hands-on experience with tools like Google ADK or CoPilot Studio for AI agent development, proficiency in RAG pipelines, vector DBs, and prompt engineering, and strong skills in developing RESTful APIs using frameworks like FastAPI. Additionally, you should be adept at Docker-based deployments, GitHub version control, and end-to-end architecture design, including LLM selection and microservices integration. Experience turning ambiguous business problems into clear AI use cases with measurable outcomes will set you apart.

Skills

Python FastAPI Docker GitHub LangChain Hugging Face OpenAI API RESTful APIs Vector DBs prompt engineering RAG pipelines Google ADK CrewAI Autogen

What you'll do

  • Drive early-stage discovery sessions to identify AI opportunities for clients.
  • Translate complex client questions into clear solution hypotheses and initial architectural logic.
  • Design AI solutions by integrating LLMs, data sources, and integrations under guidance from senior engineers.
  • Build prototypes, storyboards, demos, and reusable agentic blueprints for AI agents.
  • Lead PoCs, pilots, and MVPs to validate AI solutions across various industries.

What we're looking for

  • Hands-on experience with Google ADK or CoPilot Studio in building AI Agents.
  • Strong expertise in RAG pipelines, Vector DBs, tokenization, and prompt engineering.
  • Proficient in developing RESTful APIs using Python frameworks like FastAPI.
  • Experience in Docker-based deployments and GitHub for code repository management.
  • Ability to own end-to-end architecture including LLM selection and microservices integration.
  • Track record of leading PoCs, pilots, and MVPs across various industries.
  • Strong communication skills and the ability to articulate complex technical concepts.

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