Lead Generative AI Engineer (Hybrid)

Cognizant is seeking a Lead Generative AI Engineer to join its AI Engineering team and support enterprise AI adoption. The role leads the design, development, and delivery of scalable agentic AI and Generative AI solutions, from proof of concept through production, while mentoring engineers and partnering with business and technology stakeholders.

Responsibilities:

• Lead the development and implementation of multi-agent AI solutions using modern LLM orchestration frameworks such as 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, vector database integrations, prompt engineering strategies, and AI evaluation frameworks
• Drive end-to-end delivery of Generative AI solutions from proof of concept through 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, mentorship, and code reviews to AI engineers 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 effectively
• Continuously evaluate emerging AI technologies, frameworks, and foundation models to improve solution capabilities and business outcomes