Gen AI Lead

Cognizant

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Tarrytown, NY
Salary
$81,337–$141,500 / yr
Posted
11 days ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $208k
This role $111k
$61k $270k
below market most similar roles pay here above market

This role pays less than 99% of similar roles. Most pay $170,300–$246,150 — the blue band above. At the midpoint, this role pays about $111k versus about $208k 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 330 open roles on FindRole.

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

Most-posted roles

View all roles at Cognizant

At a glance

TL;DR · Gen AI Lead

Role Posting Log in to save

The Gen AI Lead (Agentic AI & LLM) joins the AI Engineering team to design, develop, and deliver enterprise-scale agentic AI solutions. This role involves leading the implementation of multi-agent AI systems, building scalable agent workflows, and managing memory, tool integrations, and inter-agent communication. Key responsibilities include developing Retrieval-Augmented Generation solutions, optimizing prompt engineering, and managing end-to-end production deployments including cloud infrastructure, APIs, and CI/CD pipelines. The position requires expertise in Python, AWS, Azure, or GCP, alongside orchestration frameworks like LangGraph, LangChain, AutoGen, CrewAI, and Semantic Kernel. Candidates must utilize vector databases, Docker, and Kubernetes to solve complex business problems. The role also involves supporting Claude Enterprise adoption, providing technical mentorship, and translating stakeholder requirements into production-grade generative AI applications.

Skills

LangChain LangGraph AutoGen CrewAI Semantic Kernel Python RAG Vector Databases Docker Kubernetes AWS Azure GCP CI/CD Prompt Engineering Claude OpenAI GPT Gemini Model Context Protocol (MCP)

What you'll do

  • Lead the development of multi-agent AI solutions using frameworks like LangGraph, LangChain, and CrewAI.
  • Build scalable agentic applications featuring memory management, tool integrations, and inter-agent communication.
  • Develop and optimize RAG solutions, vector database integrations, and prompt engineering strategies.
  • Drive end-to-end delivery of Gen AI solutions from proof of concept to production deployment.
  • Support Claude Enterprise adoption through platform integrations, governance, and user enablement.
  • Provide technical leadership, mentorship, and code reviews to AI engineers.
  • Translate business requirements into scalable AI solutions and technical recommendations.
  • Evaluate emerging AI technologies and foundation models to improve solution capabilities.

What we're looking for

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • 8+ years of software engineering experience.
  • 3+ years of experience focused on AI/ML or Generative AI solutions.
  • Proven experience developing and deploying production-grade agentic AI or multi-agent solutions.
  • Hands-on expertise with LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, or similar LLM orchestration frameworks.
  • Experience with Claude, OpenAI GPT, Gemini, or open-source foundation models, including prompt engineering and RAG implementations.
  • Advanced Python development skills and experience with AWS, Azure, or GCP environments.
  • Hands-on experience with vector databases, embeddings, Docker, Kubernetes, and modern software engineering practices.

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