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