AI Solution Architect

Own the end-to-end technical design and architecture of AI and GenAI solutions, including classical ML, LLM applications, RAG systems, and agentic workflows.

Design production-ready AI architectures focusing on reliability, observability, safety, cost-efficiency, and compliance with regulatory and Responsible AI standards.

Serve as the senior technical authority guiding delivery teams, resolving escalations, and supporting client engagements with technical proposals and workshops.

10–12 years of experience in Data / AI Solution Architecture with proven ownership of AI solutions in production.

Hands-on expertise in GenAI architecture including LLMs, RAG, agentic workflows, and orchestration tools like Langchain, Haystack, and Llama Index.

Experience defining enterprise architecture using Microsoft Fabric components including OneLake, Lakehouse, Warehouse, Data Factory, Dataflows, and Power BI.

Practical knowledge of MLOps/LLMOps, evaluation design, model serving, observability, inference cost optimization, and Responsible AI and AI security compliance.

Experienced in architecting complex AI solutions integrating data foundations with AI and GenAI models within enterprise environments.

Skilled in balancing technical design decisions such as build vs. buy, model selection, and orchestration patterns to optimize performance and cost.

Capable of leading technical discussions and workshops with diverse stakeholders, communicating complex AI concepts and trade-offs effectively.