Senior UX Engineer, AI Systems Knowledge and Intelligence Engine
Google· Internet & Cloud Services· Aug 26, 2026 · 2mo agoPosted 62 days ago
Kirkland, WA, USA · New York, NY, USA · San Jose, CA, USA · San Francisco, CA, USA
In office
Full-time
Senior
$130K–$170K est.
6+ years exp
Before you apply
Ghost Signal:
Open 62 days.
Job description
At Google, we "Focus on the user and all else will follow." Our UX Engineers are versatile, passionate, and driven to advance the vision for our design teams. Comfortable working across discipline lines, you will develop products and prototypes that bring innovative ideas to life.
Joining a multi-disciplinary UX team, you will collaborate with Engineering and Product Management, using user insights to create industry-leading products. In a fast-paced environment, you will use your creativity, analytical skills, and knowledge of user-facing technologies to: create prototypes that define product experiences; launch innovative features; build tools to accelerate UX teams; and bridge design and engineering to ensure efficient, high-quality execution.
Our team architects the foundational intelligence layer for Google's agentic ecosystem, engineering the data, insights, and feedback loops that empower developers and autonomous agents. In this role, you will help define and build the next generation of tooling, data visualization, and infrastructure. Operating with an AI-builder mindset, you will develop new product surfaces and help partners communicate complex concepts to executives through production-grade functional prototypes.
The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $159000 - $230000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google .
• Architect and build high-fidelity, interactive prototypes that bring abstract AI capabilities to life to accelerate executive strategy and product decision-making.
• Develop front-end dashboards and novel data visualizations that turn complex qualitative and quantitative data into compelling stories.
• Act as a bridge, translating open-ended research findings and deeply technical concepts into scalable patterns for non-technical stakeholders.
• Contribute to production code and explore AI capabilities, such as foundation models and intelligent workflows, to establish industry-leading UI components.
• Collaborate across UX Research, Product Management, and Engineering leadership to deliver actionable insights and foster a rapid launch-and-iterate culture.
• Bachelor's degree or equivalent practical experience.
• 6 years of experience in front-end development, technical UX design, or prototyping.
• Experience in application development across multiple platforms using TypeScript and Python.
• Experience working with agentic tooling and translating technical decisions to non-technical collaborators.
Minimum qualifications:
• Bachelor's degree or equivalent practical experience.
• 6 years of experience in front-end development, technical UX design, or prototyping.
• Experience in application development across multiple platforms using TypeScript and Python.
• Experience working with agentic tooling and translating technical decisions to non-technical collaborators.
Preferred qualifications:
• 7 years of experience developing responsive, adaptive, and performant websites and applications.
• Experience in WebGL, Canvas, D3.js, or similar technologies for dynamic, high-performance data visualization.
• Experience incorporating generative AI and large language model APIs into interactive tools.
• Technical leadership, peer mentorship experience, and a strong visual design background.
• Track record of growing in high-ambiguity research environments and rapidly validating disruptive product concepts.
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