Technical Delivery Lead – AI Solutions (ML & Gen AI)

About the role

We are looking for a hands‑on Technical Delivery Lead to drive end‑to‑end delivery of production‑grade AI solutions, including Machine Learning, Generative AI and Retrieval‑Augmented Generation (RAG) capabilities, for our AI Solutions POD in Pune.

Key responsibilities

• Own roadmap, milestones and delivery governance across one or two pods, managing dependencies, risks and non‑functional requirements such as latency, resilience and security.
• Design and execute delivery plans that integrate data ingestion, vectorisation, retrieval, model orchestration, UI/API and monitoring.
• Represent the pod in architecture reviews, senior stakeholder updates and governance forums, providing clear reporting and decision options.
• Define and enforce guardrails for data usage, content safety, access controls and human‑in‑the‑loop processes.

Required profile

• 8‑10+ years of technical or engineering‑led programme delivery experience, with multiple AI use cases shipped to production.
• Proven ability to work closely with engineers, challenge design decisions and translate business requirements into implementable epics and stories.

Required skills

• Machine Learning lifecycle (data preparation, training, bias mitigation, deployment, drift monitoring).
• Generative AI lifecycle (model selection, prompt strategy, safety evaluation).
• Retrieval‑Augmented Generation patterns (vector stores, embeddings, retrieval, reranking, citation).
• Cloud architecture and CI/CD for AI systems (MLOps/LLMOps concepts).
• Data engineering fundamentals (quality, lineage, batch/stream ingestion, access controls).
• Experience with vector databases such as Elasticsearch/OpenSearch, Pinecone, Weaviate or pgvector.
• Knowledge of model risk governance and AI KPI tracking (accuracy, latency, cost per request).