AI Forward Deployed Engineer (FDE)

Cognizant

Hybrid

Quick summary

Work type: Hybrid
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 $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.

Most-posted roles

View all roles at Cognizant

At a glance

TL;DR · AI Forward Deployed Engineer (FDE)

Apply Now Log in to save

As an AI Forward Deployment Engineer at a leading tech firm, you will collaborate closely with sales teams, industry specialists, and clients to develop MVPs, POCs, and commercially viable solutions for priority AI use cases. Your role involves driving early-stage discovery sessions, identifying high-impact opportunities, and translating complex client needs into clear solution hypotheses. You will design AI solutions using LLMs, data sources, and integrations, build prototypes, and lead PoCs across various industries. Additionally, you must have hands-on experience with Google ADK or CoPilot Studio, RAG pipelines, vector databases, and Python libraries like LangChain and Hugging Face. Strong skills in developing RESTful APIs, Docker-based deployments, and GitHub version control are essential. This role requires a deep understanding of AI technology, solution architecture, and business value to guide clients from ideation to validated solutions.

Skills

Python FastAPI Docker GitHub LangChain Hugging Face OpenAI API RESTful APIs Vector DBs prompt engineering RAG pipelines Google ADK CoPilot Studio CrewAI Autogen LLMs microservices integrations UI components

What you'll do

Drive early-stage discovery sessions to identify AI opportunities for clients.
Translate client questions into clear solution hypotheses and initial architectural logic.
Design AI solutions by integrating LLMs, data sources, and integrations under guidance.
Build prototypes, storyboards, demos, and reusable agentic blueprints for PoCs.
Engineer and validate AI agents for reliability, reasoning, safety, and performance.

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.

Similar roles