Forward Deployed Engineer

Cognizant

Confirmed live today High trust

Quick summary

Work type
On-site
Location
New York, NY
Posted
8 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $183k
$123k $235k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $147,440–$219,362.

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 408 open roles on FindRole.

Listed pay typically runs $100,000–$135,000 across 266 roles with salary data.

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At a glance

TL;DR · Forward Deployed Engineer

The Forward Deployed Engineer serves as the mid senior architect of the Frontier pod, acting as the principal technical advisor to both the pod and the client. This role involves designing and deploying custom agents and agentic workflows while governing permissions, context sharing, and data access. You will architect agentic deployments on enterprise platforms, design trust layers, and define AI orchestration architecture including state, tool calling, and failure mode patterns. Key responsibilities include designing quality assurance frameworks, synthetic data strategies, and engineering enterprise knowledge bases with ontologies and retrieval pipelines. You must translate complex domain requirements into functional specifications. Required technical skills include RAG, Microsoft Copilot Studio, Agentic AI, Generative AI, and Enterprise Architecture to solve complex problems within the domain.

What does a Forward Deployed Engineer earn?

Median $209075 from 40 postings across 19 companies.

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What you'll do

  • Design and deploy custom agents and agentic workflows.
  • Govern permissions, context sharing, and data access for agentic systems.
  • Architect agentic deployments on enterprise platforms and design trust layers.
  • Define AI orchestration architecture, state tool calling, and failure mode patterns.
  • Design agentic quality assurance frameworks and synthetic data strategies.
  • Engineer enterprise knowledge bases, ontologies, and retrieval pipelines for agent grounding.
  • Translate complex domain requirements into AI functional specifications for the engineering pod.

What we're looking for

  • 8 to 12 years of experience.
  • BE Engineering degree.
  • Proficiency in RAG, Microsoft Copilot Studio, Agentic AI, and Generative AI.
  • Experience in Enterprise Architecture.
  • Ability to design and deploy custom agents, agentic workflows, and orchestration architectures.
  • Ability to engineer enterprise knowledge bases, ontologies, and retrieval pipelines.
  • Ability to translate complex domain requirements into AI functional specifications.
  • Ability to design agentic quality assurance frameworks and synthetic data strategies.

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