Key Responsibilities
1. Own AI solutions technically & drive end-to-end from stakeholder interaction, conceptualization, PoC, productionize. 2. Drive quick Proof of Concept / Feasibility of the solution. 3. Support pre-sales in proposing the right solution, customer engagement, & plan. 4. Responsible for technical artifact creation for the solution. 5. Drive the solution to maturity & production grade through the team. 6. Keep up to date with technology trends & apply them appropriately in the solution. Key Skills 1. Experience in Multi-Agent AI system design & development for business problems with standard Agent SDK, A2A, MCP 2. Experience in GenAI solutions design & development like RAG, Agentic RAG, Vector DB, Agentic Patterns Orchestrator, Planner. 3. Experience in fine-tuning various LLMs like Mistral, Olama with domain data. 4. Experience in designing evaluation & AgentOps for Agentic AI solutions. 5. Experience in training ANN for NLP, Computer Vision problems with Object Detection Models, Transformer Models, Prediction Models. 6. Robust Python system design & development, microservices, Docker, Kubernetes, AWS / Azure

📌 AI Solutions Architect (Chennai)
🏢 Kumaran Systems
📍 Chennai