Architect / Sr.Architect - AI

Key Responsibilities
Own AI solutions technically & drive end to end from stakeholders interaction, conceptualization, PoC, productionize.
Drive quick Proof of Concept / Feasibility of the solution.
Support pre-sales in proposing right solution, customer engagement & plan.
Responsible for technical artifacts creation for the solution.
Drive the solution to maturity & production grade through the team.
Keep upto date with technology trends & apply appropriately in the solution.

Requirements

Key Skills
Experience in Multi-Agent AI system design & development for business problem with standard Agent SDK, A2A, MCP
Experience in GenAI solutions design & development like RAG, Agentic RAG, Vector DB, Agentic Patterns Orchestrator, Planner.
Experience in fine-tuning various LLMs like Mistral, Olama with domain data.
Experience in designing evaluation & AgentOps for Agentic AI solutions.
Experience in training ANN for NLP, Computer Vision problems with Object Detection Models, Transformer Models, Prediction Models.
Robust Python system design & development, microservices, docker, Kubernetes, AWS / Azure

📌 Ai Solutions Architect Chennai (India)
🏢 Kumaran Systems
📍 India