Lead strategy, architecture, and operating model for an enterprise AI-ready data platform. Define semantic models, knowledge graph and ontology standards, data governance, APIs, and commercialization for reusable intelligence products. Drive platform evolution, technology selection, cross-functional partnerships, and build a high-performing data architecture and engineering team supporting LLMs, RAG, vector search, and regulated environments.

Lead backend Java development and architecture for enterprise applications. Design and deliver scalable, resilient microservices and APIs, mentor developers, lead technical decisions, support production incidents, and implement CI/CD and cloud-native solutions on AWS.

Design, develop, and maintain scalable backend services and distributed systems using Scala, Java, and the Akka ecosystem; build RESTful APIs and cloud-native solutions on AWS; design data access with Slick/SQL; maintain CI/CD pipelines; participate in architecture, code reviews, troubleshooting, and performance improvements.