Forward Deployed Engineer, GenAI, Youtube Go-To-Market Technology and Insights

It's an exciting time to join the AI Accelerator team, a newly formed task force dedicated to driving AI transformation for YouTube Business Go-To-Market (GTM) operations. Our mission is to operate as a high-velocity, horizontal transformation engine at the intersection of consulting, product strategy, applied AI, and systems engineering—redesigning legacy workflows from scratch to drive direct business impact for YouTube.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world.

What you'll do:

• Partner with stakeholders to co-create tool roadmaps, translating ambiguous business problems into tangible software solutions that enable YouTube's operations.
• Iterate GenAI proof-of-concepts (LLMs, RAG, agentic frameworks) into production-grade AI applications (multi-agent systems, MCP servers) that drive measurable ROI.
• Execute the full software development lifecycle: author technical design documents, ship maintainable code, build intuitive frontend surfaces, and manage deployment.
• Build high-performance evaluation (eval) pipelines and observability frameworks to ensure agentic systems meet accuracy, safety, compliance, and latency requirements.
• Resolve technical hurdles preventing AI maturity, including data readiness gaps, system integration complexities, edge-case managing, and state-management issues.

Minimum qualifications: Bachelor's degree in Computer Science, Electrical Engineering, Math or related quantitative field, or equivalent practical experience in software development. 4 years of experience in full-stack software development and system design. Experience with front end languages (e.g., JavaScript or TypeScript). Experience with backend languages (e.g., Java, Python, or C++). Experience working with database technologies (e.g., SQL, NoSQL). Experience with full-stack development, API design, and systems engineering.

Full details and application on the official Google careers page.