Manager AI/ML Engineering (LLM,RAG ,Agentic AI)

Lead hands-on experimentation, prototyping, and development of AI/ML, Generative AI, and Agentic AI solutions focused on advancing proof-of-concepts to production readiness and enterprise adoption.

Develop reusable AI assets including prompts, workflows, reference architectures, and evaluation frameworks to accelerate production deployment and measurable business impact.

Collaborate closely with business, product, engineering, and architecture teams to ensure scalable, maintainable, secure solutions aligned with enterprise standards and deliver measurable outcomes.

Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, Artificial Intelligence, or related field.

8+ years of experience delivering AI/ML solutions with strong ownership of enterprise-scale AI initiatives.

Hands-on experience with Generative AI technologies including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, embeddings, and vector databases.

Proven skills in machine learning, deep learning (PyTorch/TensorFlow), Python, SQL, cloud platforms (Azure/AWS/GCP), and collaboration with engineering for production adoption.

Experienced in bridging AI experimentation with engineering teams for successful production deployment of enterprise AI solutions, demonstrated by delivered POCs transitioning to production.

Strong expertise in Generative AI (LLM, RAG) and Agentic AI including orchestration and multi-agent workflows.

Strategic approach to AI development lifecycle (AIDLC), emphasizing operational readiness, cost-performance optimization, and reusable solution artifacts to reduce experimentation-to-production cycle time.