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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.

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