About the Role
We're looking for a Lead, Applied AI 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, and incident response for AI systems
- Partner with cross-functional leadership to spot high impact AI opportunities and translate business problems into AI solutions
- Drive adoption through documentation, partnership with end users, and ongoing iteration based on feedback
- Set technical direction for AI across our team by establishing patterns and reusable components other engineers can build on
Basic Qualifications:
- 5+ years of hands-on engineering experience, with meaningful time spent building AI or automation systems
- Track record of shipping production AI or automation applications that drove measurable business impact
- Advanced Python and SQL proficiency for working with data at scale
- Production experience integrating LLMs into real applications, including prompt engineering, retrieval, and evaluation
- Experience designing and consuming APIs, with comfort building reliable services (FastAPI, Flask, or similar)
- Working knowledge of at least one AI orchestration framework such as LangChain, LangGraph, or MCP
- Familiarity with vector databases and RAG patterns
- Solid engineering fundamentals around Git, CI/CD, testing, and event driven systems
- Strong cross-functional communication skills and the ability to drive adoption of new tools across non technical teams
Preferred Qualifications:
- Experience with AI evaluation tools and observability for non deterministic systems
- Built Slack apps, conversational interfaces, or other AI-powered internal tools with strong adoption
- Hands-on experience designing agentic systems with function calling, tool use, or multi agent orchestration
- Production cloud experience (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
- Integration experience with business platforms like Salesforce, Slack, Google Workspace, or Jira
- Background in ad tech, measurement, or analytics platforms
For Chicago, IL-based roles: The base salary range for this role is USD$150,000 per year - USD$167,000 per year.
For New York, NY-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year.
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.