Forward Deployed Engineer

Cognizant

Confirmed live yesterday High trust

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Work type: On-site
Location: New York, NY
Posted: 22 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $185k

$130k $235k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $147,182–$222,812.

Based on 240 similar postings.

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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 330 open roles on FindRole.

Listed pay typically runs $100,000–$135,000 across 211 roles with salary data.

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At a glance

TL;DR · Forward Deployed Engineer

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The Forward Deployed Engineer serves as a senior technical leader within the Frontier team, designing enterprise-scale AI systems for complex client transformations. This role involves defining human-agent capability matrices, authoring guardrail specifications for agentic systems, and leading client architecture workshops to produce context-pipeline blueprints. Key responsibilities include governing ADLC adoption, defining standards for AI-generated code quality, and architecting responsible-AI frameworks featuring bias detection, explainability, and audit-trail designs. The position requires expertise in AI-native enterprise architecture, AIOps orchestration, and regulated AI decisioning design. Candidates must demonstrate proficiency in frontier-model evaluation, red-teaming, and cross-platform AI integration strategy. The work focuses on solving technical problems related to responsible-AI governance and building regulated decisioning systems with specific compliance controls across various domains.

What does a Forward Deployed Engineer earn?

Median $219575 from 46 postings across 19 companies.

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Skills

AI Architecture responsible-AI Guardrail Specification ADLC AIOps Red-Teaming AI Quality & Evaluation Context-Pipeline Architecture Cross-Platform AI Integration Bias Detection Explainability Audit-Trail Design Regulated AI Decisioning

What you'll do

Design AI-native enterprise architectures and human-agent capability matrices for delivery programs.
Author guardrail specifications and boundary documentation for enterprise-scale agentic systems.
Lead client architecture review workshops and produce context-pipeline blueprints.
Govern ADLC adoption across the portfolio and define standards for AI-generated code quality.
Architect responsible-AI frameworks including bias detection, explainability, and audit-trail designs.
Design regulated AI decisioning systems with compliance controls for specific domains.
Own the intellectual design of AI delivery across multiple domains, platforms, and sectors.

What we're looking for

12-20 years of experience with enterprise AI architecture leadership.
Demonstrate enterprise-scale AI architecture and responsible-AI leadership.
Pass the Frontier CoE assessment at Architect level.
Expertise in AI-native enterprise architecture and guardrail specification.
Experience in responsible-AI framework design, including bias detection and explainability.
Proficiency in context-pipeline architecture at scale and ADLC delivery governance.
Skills in cross-platform AI integration strategy and AIOps orchestration architecture.
Experience in frontier-model evaluation, red-teaming, and human-agent capability modelling.