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.
Solid Python system design development, microservices, docker, Kubernetes, AWS / Azure
Skills
Software Development
Experience
12 - 15 Years
Job Type
Full time
Location
Tamil Nadu, India
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
📌 Ai Solutions Architect Chennai
🏢 Kumaran Systems
📍 Chennai
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