Lead, AI Solutions & Enablement, Uber Advertising

Lead, AI Solutions & Enablement, Uber Advertising Department: Operations Team: Operations Location: New York, United States Type: Full-Time **About the Role** We're looking for a **Lead, AI Solutions & Enablement** to architect and scale intelligent automation solutions that transform how Uber Advertising's Measurement Science function operates. You'll lead the technical strategy for AI-driven workflows, build production-grade AI systems, and partner with cross-functional leadership across Measurement Science to identify high-impact automation opportunities. This position is designed for a technical builder who excels in a high-code environment and is passionate about organizational enablement. You will manage the core technical infrastructure required for secure and reliable AI operations while simultaneously spearheading the integration and adoption of these advanced capabilities throughout the Measurement Science organization. **What You'll Do:** - **Build production AI applications end to end** that solve concrete measurement problems for our partner teams, taking systems from idea to launch - **Design and implement AI agents and agentic workflows** using frameworks like LangChain, LangGraph, or MCP - **Develop RAG systems** including vector store implementation, embedding strategy, retrieval logic, and context management - **Apply foundation models and LLMs** through prompt engineering, orchestration, and lightweight fine-tuning where needed (foundational model development continues to live with our AI/ML pod) - **Architect AI-specific data access patterns and APIs** that allow agents to query data safely (core data pipelines remain owned by our Data Infrastructure pod) - **Build AI-powered internal tools, conversational interfaces, and Slack apps** that drive adoption across the org - **Establish AI safety and reliability practices** including guardrails, evaluation, fallback logic, and PII protections - **Build evaluation infrastructure** to measure AI output quality, catch regressions, and continuously improve performance - **Champion engineering excellence** across testing, observability, a