Gen AI Lead; Agentic AI & LLM); Hybrid

Gen AI Lead (Agentic AI & LLM)

About the role

As a Gen AI Lead (Agentic AI & LLM) you will make an impact by designing, developing, and delivering enterprise-scale agentic AI solutions that drive business transformation. You will be a valued member of the AI Engineering team and work collaboratively with client stakeholders, AI engineers, platform teams, and business leaders to build innovative Generative AI applications and accelerate enterprise AI adoption.

In this role, you will:

• Lead the development and implementation of multi-agent AI solutions using modern LLM orchestration frameworks such as Lang Graph, Lang Chain, Auto Gen, 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.

Work model

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in Tarrytown , NY . Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

Please note that this position is not eligible for visa transfer or sponsorship now or at any time in the future.

What you need to have to be considered

• 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 Lang Chain, Lang Graph, Auto Gen, 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.

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,…