AI Solution Architect

About the role

The AI Solution Architect will design and deliver production‑ready AI and Generative AI solutions that are reliable, observable, safe, and cost‑efficient. As the senior technical authority, you will own the end‑to‑end architecture from opportunity through delivery and collaborate closely with Data Solution Architects.

Key responsibilities

• Define and own AI/GenAI solution architecture, including classical ML, LLM applications, RAG systems, and agentic workflows.
• Design enterprise architecture on Microsoft Fabric (OneLake, Lakehouse, Warehouse, Data Factory, Dataflows, Power BI).
• Establish LLMOps/MLOps pipelines, model serving, versioning, and rollback mechanisms.
• Embed Responsible AI, security, and compliance standards into designs.
• Partner with data teams to specify training data, feature pipelines, and vector store strategies.

Required profile

• 10–12 years of experience in Data/AI solution architecture with production AI deployments.
• BE/B.Tech or equivalent engineering degree.

Required skills

• Python (or Java) programming.
• Natural Language Processing tools: NLP, RegEx, SpaCy, NLTK.
• Microsoft Fabric ecosystem (OneLake, Lakehouse, Warehouse, Data Factory, Dataflows, Power BI).
• GenAI frameworks: LangChain, Haystack, LlamaIndex.
• Classical machine‑learning delivery and MLOps/LLMOps practices.
• Design for Responsible AI, security, and compliance.
• Data platform knowledge, pipelines, and modeling.