Design, build and ship production-grade AI systems and agentic solutions for enterprise clients; architect cloud-native AI platforms with LLMOps/DevOps pipelines; integrate AI into enterprise systems; lead cross-functional delivery; develop internal reference architectures, tooling, evaluation frameworks, and mentor engineering teams.

Design and maintain data catalogues, metadata schemas, quality frameworks, and lineage for AI systems. Assess data quality, automate ingestion and nightly checks, and connect RAG/retrieval pipelines to trustworthy, auditable knowledge stores. Partner with engineers and strategists to map client data estates and ensure provenance and auditability.