Senior Manager - Artificial Intelligence

About the role

Design, build and ship production AI applications end-to-end — agentic assistants, RAG systems, document intelligence, voice agents, predictive/forecasting models, and workflow-automation agents. Fine-tune and adapt open-weight LLMs (Qwen, Llama, Mistral, Phi, Gemma) for company-specific use cases; own the training loop, evaluation and rollout.

What you'll do

• Design, build and ship production AI applications end-to-end — agentic assistants, RAG systems, document intelligence, voice agents, predictive/forecasting models
• Build multi-agent systems that integrate across enterprise platforms — Oracle ERP, HRMS, Google/Microsoft Calendar, email, LinkedIn, WhatsApp Business
• Own the AI stack architecture: model selection and routing, evaluation harnesses, guardrails, observability, cost and latency optimisation, security and governance
• Establish MLOps / LLMOps practices — evals, tracing, versioning, rollback, human-in-the-loop feedback capture

What you need

• Python
• LLMs
• AWS
• Azure
• MLOps
• ERP
• B.Tech or B.E.

Good to have

• HRMS