Description
We are looking for a highly skilled Sr. AI / ML Engineer with deep OpenAI expertise to lead the design, development, and deployment of enterprise-grade AI solutions for Zensar's global client portfolio. This is a senior individual contributor role requiring hands-on mastery of OpenAI's full platform stack — including GPT-4o, o-series reasoning models, Assistants API, Function Calling, and Fine-Tuning — combined with solid ML engineering fundamentals. The ideal candidate will architect scalable agentic AI systems, RAG pipelines, and multi-model workflows that deliver measurable business impact across Zensar's Data Engineering & Analytics service line.

Responsibilities
- Lead end-to-end design and delivery of OpenAI-powered solutions: agentic RAG systems, enterprise chatbots, and AI-driven automation workflows.
- Architect and implement multi-agent pipelines using OpenAI Agents SDK, LangGraph, and LangChain, with robust tool-use and memory management.
- Leverage the full OpenAI API surface — GPT-4o, o1/o3-mini, Assistants API, Batch API, Structured Outputs,



and Vision — for diverse client use cases.
- Design and execute fine-tuning strategies for OpenAI models on domain-specific datasets; evaluate using the OpenAI Evals framework.
- Build high-performance semantic search and retrieval layers using OpenAI Embeddings integrated with vector databases (Pinecone, pgvector, Azure AI Search).
- Develop scalable ML pipelines using Python, PyTorch, and scikit-learn to complement and extend OpenAI model capabilities.
- Drive prompt engineering excellence — system prompt design, chain-of-thought reasoning, few-shot learning, and token optimization strategies.
- Mentor junior engineers and establish AI engineering best practices, coding standards, and reusable accelerators within Zensar's ZenseAI.Data platform.
- Collaborate with Zensar's delivery managers and client stakeholders to translate business requirements into robust AI architectures.
- Monitor model perfor

📌 Sr. AI (Pune)
🏢 Zensar Technologies
📍 Pune