AI Solutions Architect – GenAI & Agentic AI

AI Solutions Architect – GenAI & Agentic AI

Experience: 8+ years overall, including 2+ years of hands-on GenAI/LLM development.

• Strong experience building GenAI applications, AI agents, agentic workflows and multi-agent solutions.
• Hands-on experience with LLMs, RAG, embeddings, vector search, prompt engineering and tool/function calling.
• Experience with unstructured data processing, including PDF/document extraction, OCR, image processing, classification and summarization.
• Strong Python development skills, API integration and experience with AI frameworks such as LangChain, LangGraph or equivalent.
• Familiarity with Databricks AI capabilities, including AI Functions, AI Search/Vector Search, Model Serving and MLflow.
• Experience with AI evaluation frameworks, guardrails, hallucination testing, human-in-the-loop workflows and AI observability.
• Ability to review partner AI solution designs, agent workflows, code quality, performance and cost optimization.
• Experience with AI-assisted/spec-driven development and production deployment of enterprise AI applications.