• Design and define the architecture for production AI systems across the Teamworks platform, including model orchestration services, tool execution layers, evaluation pipelines, and guardrails. • Build reusable backend platform components that allow product teams to integrate AI powered capabilities into their products without rebuilding core infrastructure. • Evaluate and select appropriate technologies, frameworks, and architectural patterns based on long term scalability, reliability, and team productivity. • Establish engineering standards for building, testing, deploying, and operating AI systems in production, including monitoring, evaluation, and failure handling. • Lead the design and delivery of foundational platform capabilities that enable multiple teams to build and ship AI powered product features. • Design backend services that safely query and operate on multi tenant sports data while enforcing strict data isolation and access controls. • Lead complex cross team engineering initiatives that improve system reliability, reduce infrastructure cost, and accelerate delivery of AI powered capabilities. • Mentor engineers on backend architecture, distributed systems, and GenAI system design.