Job Description: Manager – Generative AI / Agentic AI & MLOps
Location : Gurugram - On Site
Reports To : SVP – Data Science / AI

Role Purpose :
This role is responsible for designing, building, and deploying end-to-end Generative AI and Agentic AI systems, with a strong focus on local LLM deployment, secure enterprise GenAI applications, and scalable MLOps pipelines.

The position requires expertise in:
Local RAG (Retrieval-Augmented Generation) pipelines Agentic AI frameworks (multi-step reasoning systems)Private LLM hosting and optimization Robust MLOps architecture (Kafka, Kubernetes, Airflow, CI/CD )

Success in this role means delivering production-grade GenAI systems that are scalable, secure, cost-efficient, and deliver measurable business impact.
Key Result Areas & Responsibilities :
GenAI & Agentic AI Development (35%)
Design and build end-to-end GenAI applications from scratch
Develop Agentic AI systems using frameworks like: