Lead GenAI Forward Deployed Engineer, YouTube GTM Operations
AI summary of the role
Leads YouTube's AI Accelerator effort to redesign GTM operations by turning ambiguous business bottlenecks into enterprise-grade GenAI applications.
What you’ll do
- Build GenAI proofs of concept using LLMs, RAG, and agentic frameworks
- Lead production delivery of multi-agent systems and MCP servers
- Co-create AI tool roadmaps with product and business stakeholders
- Author technical designs and deliver full-stack applications from scoping through deployment
What you’ll bring
- Bachelor's degree in a quantitative or computer-related field, or equivalent software development experience
- 9 years of experience building APIs or web applications and scalable distributed architectures
- 8 years of full-stack development experience with enterprise-grade applied AI solutions
- 4 years of experience creating product roadmaps with business stakeholders
Technologies
LLMs · RAG · multi-agent systems · MCP · Python · Go · TypeScript · vector databases · LLM evaluation pipelines · microservices
About Google
Builds global consumer, ads, cloud, developer and AI platforms spanning Search, YouTube, Android, Workspace and Gemini.
Public
Employer postings · Data from · Sources