Senior Lead Forward Deployment Engineer

Cognizant

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: New York, NY
Salary: $140,000–$180,000 / yr
Posted: 11 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $192k

This role $160k

$129k $241k

below market most similar roles pay here above market

This role pays less than 73% of similar roles. Most pay $159,000–$224,625 — the blue band above. At the midpoint, this role pays about $160k versus about $192k 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 397 open roles on FindRole.

Listed pay typically runs $100,000–$135,000 across 262 roles with salary data.

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At a glance

TL;DR · Senior Lead Forward Deployment Engineer

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SR Lead Forward deployment Engineer ( Full stack Background )- Remote will join the team as a Distinguished Frontier Engineer to drive the design and governance of enterprise-scale AI solutions. The role involves leading the intellectual design of AI delivery programs, authoring governance standards for agentic systems, and architecting next-generation platforms. Key responsibilities include defining human-agent collaboration models, developing context engineering frameworks, and establishing responsible AI principles for regulated decision-making systems. The position requires expertise in Agentic AI, Generative AI, Large Language Models, Retrieval-Augmented Generation, Multi-Agent Systems, and Cloud-native AI Architectures. The work focuses on solving complex problems in enterprise digital transformation, specifically regarding AI autonomy, bias mitigation, and compliance within regulated business processes to ensure scalable, secure, and transparent AI adoption across various industries.

Skills

Agentic AI Generative AI Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Enterprise Architecture Multi-Agent Systems Responsible AI AI Governance Cloud-native AI Architectures MLOps Azure AWS GCP AI Security Human-in-the-Loop AI Systems

What you'll do

Design AI-native enterprise architectures for large-scale digital transformation programs.
Architect multi-agent ecosystems that integrate enterprise applications, data platforms, and business processes.
Define guardrails, policies, and boundary specifications for agentic AI systems.
Establish governance models for AI autonomy, decision-making, and escalation controls.
Architect Responsible AI frameworks covering bias mitigation, explainability, and ethical adoption.
Design AI-powered decisioning systems and compliance controls for regulated industries.
Lead client architecture workshops and executive design reviews to influence AI strategy.
Develop reusable AI architecture patterns, accelerators, and playbooks across engagements.

What we're looking for

Bachelor's Degree in Engineering, Computer Science, Information Technology, or related discipline.
Master's degree (preferred).
8 to 15 years of overall IT experience.
Minimum 3+ years in Enterprise Architecture, AI Architecture, or Digital Transformation leadership roles.
Proven experience designing and deploying enterprise-scale AI and Generative AI solutions.
Experience leading large-scale technology transformation programs across multiple business domains.
Strong experience working directly with executive stakeholders and client architecture boards.
Expertise in Agentic AI, LLMs, RAG, Multi-Agent Systems, and AI Governance & Compliance.

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