AI Solutions Architect

Job Summary


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.
• Strong Python system design development, microservices, docker, Kubernetes, AWS / Azure

Skills

• Software Development

Experience


Job Type


Location


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