Lead Generative AI Engineer

Cognizant; Village of Tarrytown (NY); Hybrid; USD 81,000 - 142,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays and PTO

401(k) plan and contributions

Employee Stock Purchase Plan

Job summary

Cognizant is seeking a Lead Generative AI Engineer in a hybrid role based in Tarrytown, NY. You will guide the design and delivery of enterprise-scale agentic AI solutions, partnering with stakeholders to move from PoC to production while mentoring engineers and promoting best practices.

You will work with LangGraph, LangChain, AutoGen, CrewAI, Semantic Kernel, and RAG implementations, leveraging cloud platforms and modern tooling to enable scalable AI workflows.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
• 8+ years of software engineering experience, including 3+ years focused on AI/ML or Generative AI solutions.
• Proven experience deploying production-grade agentic AI or multi-agent solutions.
• Strong hands-on expertise with LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, or similar LLM orchestration frameworks.

Responsibilities

• Lead development and implementation of multi-agent AI solutions using LangChain, LangGraph, AutoGen, CrewAI, and Semantic Kernel.
• Build scalable agentic AI applications including agent workflows, memory management, tool integrations, and inter-agent communication.
• Develop and optimize Retrieval-Augmented Generation (RAG) solutions with vector DBs, prompts, and evaluation frameworks.
• Drive end-to-end delivery from PoC to production, including cloud infra, APIs, CI/CD, monitoring, and support.
• Support Claude Enterprise adoption through platform integrations, onboarding, governance, enablement, and user support.
• Provide technical leadership via mentorship, code reviews, and promotion of best practices and reusable frameworks.
• Translate requirements with stakeholders into scalable AI solutions and communicate recommendations clearly.
• Continuously evaluate emerging AI tech and foundation models to improve capabilities.

Skills

LangChain

LangGraph

AutoGen

CrewAI

Semantic Kernel

Python

AWS

Azure

GCP

Docker

Kubernetes

OpenAI GPT

Claude

Gemini

RAG

Vector databases

Prompt engineering

Education

Bachelor’s or Master’s degree

Tools

CI/CD pipelines

Job description

Cognizant is seeking a Lead Generative AI Engineer to help design and deliver enterprise-scale agentic generative AI solutions. In this hybrid role based in Tarrytown, NY, you will partner with stakeholders to build scalable multi-agent applications and accelerate adoption from proof of concept to production.

You will also provide technical leadership to AI engineers, driving end-to-end delivery and ensuring solutions are built with engineering best practices, evaluation rigor, and the right platform integrations to meet business outcomes.

What you’ll do

• Lead the development and implementation of multi-agent AI solutions using modern LLM orchestration frameworks including LangGraph, LangChain, AutoGen, CrewAI, and Semantic Kernel.
• Build scalable agentic AI applications, including agent workflows, memory management, tool integrations, and inter-agent communication capabilities.
• Develop and optimize Retrieval-Augmented Generation (RAG) solutions, including vector database integrations, prompt engineering strategies, and AI evaluation frameworks.
• Drive end-to-end delivery from proof of concept to production deployment, including cloud infrastructure, APIs, CI/CD pipelines, monitoring, and support.
• Support Claude Enterprise adoption initiatives through platform integrations, onboarding activities, governance, enablement, and user support.
• Provide technical leadership through mentorship, code reviews, and promoting engineering best practices and reusable frameworks.
• Partner with business and technology stakeholders to translate requirements into scalable AI solutions and communicate technical recommendations effectively.
• Continuously evaluate emerging AI technologies, frameworks, and foundation models to improve solution capabilities and business outcomes.

What you bring

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 8+ years of software engineering experience, including 3+ years focused on AI/ML or Generative AI solutions.
• Proven experience developing and deploying production-grade agentic AI or multi-agent solutions.
• Strong 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 working with AWS, Azure, or GCP environments.
• Hands-on experience with vector databases, embeddings, Docker, Kubernetes, and modern software engineering practices.
• Demonstrated experience leading technical initiatives, mentoring engineers, and collaborating with senior stakeholders.

Additional technologies

LangGraph, LangChain, AutoGen, CrewAI, Semantic Kernel, Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, AI evaluation frameworks, Claude Enterprise, Claude, OpenAI GPT, Gemini, open-source foundation models, Python, AWS, Azure, GCP, embeddings, Docker, Kubernetes, CI/CD pipelines

Preferred experience (helps you stand out)

• Experience supporting Claude Enterprise, ChatGPT Enterprise, or similar enterprise AI platform deployments.
• Knowledge of Model Context Protocol (MCP) or comparable AI integration standards.
• Experience with AI governance, observability, evaluation frameworks, and responsible AI practices.
• AWS, Azure, or GCP cloud certifications.
• Consulting or professional services experience supporting large enterprise clients.
• Contributions to open-source Generative AI or agentic AI projects.

Compensation and benefits

• Annual salary range: USD 81,337 - 141,500 (depending on experience and other qualifications).
• Eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to plan terms.
• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan

Work model

• Hybrid role requiring 3 days a week in a client or Cognizant office in Tarrytown, NY.
• Working arrangements are accurate as of the posting date and may change based on the project and business/client requirements.

Application details

• Applications accepted until November 7th, 2026.
• Salary, other compensation, and benefits information is accurate as of the posting date; Cognizant may modify information at any time, subject to applicable law.