Solutions Architect, Uber AI Solutions
UberSan Francisco, United StatesPosted 5 March 2026
Tech Stack
Job Description
Solutions Architect, Uber AI Solutions
Department: Product
Team: Program Management
Location: San Francisco, United States
Type: Full-Time
**About the Role**
At Uber AI Solutions delivers high-quality deliveries, we deliver high-quality scaled programs in operations, technology and data analytics for various Uber businesses, leveraging our deep vendor partner network capabilities to carry out the program execution. We are also extending our impact and reach beyond Uber - our tech+ops solutions coupled with Uber’s strength of building a platform for flexible work will enable enterprises world-wide to accelerate their data, AI and product journeys. In doing so, we’re also While we do this, we look forward to creating flexible earnings opportunities through online tasks for millions of people across the world. Together, our tech, operations expertise and platform for knowledge work are uniquely positioned to be the best-in-class human-in-the-loop solution for the industry.
This is a high-impact role within Uber AI Solutions where you will hold a high-impact role on a new team inside the organization. You will be the technical expert responsible for architecting and executing the "Technical Win" in high-stakes enterprise engagement. You will leverage Uber’s proprietary technology and operational excellence to solve the most complex AI data challenges for world-leading companies in Autonomous Systems, Robotics, and Generative AI.
This opportunity is designed for a hands-on technical architect who thrives in a pre-sales environment, is eager to translate complex customer needs into clear, executable technical blueprints, and acts as a critical voice in defining our product's future.
**What the Candidate Will Need / Bonus Points**
1. Technical Pre-Sales & Deal Scoping: Own the "Technical Win" by serving as the primary technical authority. This involves evaluating complex customer AI/ML data needs, translating them into rigorous Scopes of Work (SOWs) and Proof of Concepts (POCs), and documenting the end-to-end technical solution for commercial viability.
2. Solutions Architecture & Prototyping: Design and
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