Lead Generative AI Engineer

Lead enterprise-scale agentic generative AI delivery and technical leadership across the full lifecycle, from prototype to production.

Responsibilities

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

Requirements

• 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

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

Benefits

• 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 position 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 project engagement and business/client requirements

These Will Help 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

• Annual salary: $81,337 - $141,500 (depending on experience and other qualifications)
• Eligible for Cognizant’s discretionary annual incentive program based on performance, subject to plan terms
• Applications accepted until November 7th, 2026
• Salary, other compensation, and benefits information accurate as of the posting date; Cognizant may modify subject to applicable law