Navnit Shukla is a Principal Partner Data Cloud AI Architect at Snowflake, where he works with foundation model partners and helps teams build production-grade AI applications using the Cortex REST API. His work focuses on AI-native application architecture, including multi-tenant LLM systems, RAG, model governance, real-time inference, and developer-first integrations across frameworks such as FastAPI, Streamlit, and the broader open-source AI ecosystem. Before Snowflake, he spent several years at AWS in data and AI architecture roles, designing cloud-native platforms across industries including financial services, retail, healthcare, media, and technology. Navnit is also an author, speaker, and educator who has published technical content on data and AI systems, spoken at conferences including AWS re:Invent and PASS Data Community Summit, and enjoys turning complex architecture patterns into practical stories that engineering teams can apply in the real world.

Highlights:
• Published Author: Data Wrangling on AWS (Packt) & AI-Ready Data Blueprint (O’Reilly, pre-release)
• Speaker & Educator: 5x AWS re:Invent, global workshops, 100+ YouTube videos, 40K+ learners
• Thought Leadership: Top 5 AWS blog author, Perplexity AI Business Fellowship
• Community Builder: Mentored 100+ solution architects; launched AWS Analytics Shadow Opportunity & Data Learning Series

Technical expertise: AWS Bedrock, SageMaker, Redshift, Glue, Lake Formation, OpenSearch, Apache Spark, Kafka, Iceberg, LakeHouse

I’m passionate about transforming data into actionable insights, guiding organizations through AI adoption, and delivering solutions that scale, innovate, and create tangible ROI. I’m seeking leadership opportunities where I can combine technical architecture, AI innovation, and business strategy to drive enterprise impact.