AI Forward Deployed Engineer (FDE)

Cognizant

Hybrid

Quick summary

Work type: Hybrid
Location: NJSeattle, WA
Salary: $140,000–$200,000 / yr
Posted: 13 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $207k

This role $170k

$126k most similar roles pay here $267k

This role pays less than 70% of similar roles. Most pay $167,550–$246,150 — the shaded band above. At the midpoint, this role pays about $170k 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 32 open roles on FindRole.

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

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At a glance

TL;DR · AI Forward Deployed Engineer (FDE)

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As an AI Forward Deployed Engineer (FDE) at a leading technology firm, you will collaborate closely with sales teams, industry specialists, and clients to develop MVPs, POCs, and commercially viable solutions that drive business transformation through AI. Your day-to-day responsibilities include conducting discovery sessions, identifying high-impact opportunities, building prototypes, and validating AI agents for reliability and performance. You must have hands-on experience with tools like Google ADK or CoPilot Studio, expertise in RAG pipelines, vector databases, and prompt engineering, as well as proficiency in Python libraries, RESTful APIs, Docker deployments, and GitHub version control. This role requires strong communication skills and the ability to articulate complex technical concepts clearly. Ideal candidates will have a background in developing AI solutions for ambiguous business problems and experience collaborating with hyperscalers and LLM providers.

Skills

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

What you'll do

Drive early-stage discovery sessions with clients to identify AI opportunities.
Translate client questions into clear solution hypotheses and initial architectural logic.
Design AI solutions by integrating LLMs, data sources, and integrations.
Build prototypes and demos to validate AI agents for reliability and performance.
Lead PoCs and MVPs across industries to accelerate deal conversion.
Create compelling content like SoWs, proposals, and architecture decks.

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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