AI Solutions Architect

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. Strong Python system design & development, microservices, Docker, Kubernetes, AWS / Azure

Work arrangement
No