Architect large-scale AI platforms, RAG systems, and intelligent automation services that support GQE
Lead the design of internal developer tools, micro-platforms, and APIs that integrate AI into core engineering workflows
Build and maintain full stack systems — including React-based UIs — for internal developer tooling platforms
Build systems that automatically evaluate failures, classify flakiness, detect patterns, and recommend fixes
Partner with QE executive team to define long-term AI strategy and roadmap
Drive cross-functional alignment with Platform Engineering, Data Engineering, Playback/Video Engineering, and Product
Mentor engineers across GQE and elevate engineering maturity through best practices and architectural guidance
Evaluate and integrate emerging AI technologies — with a preference for Vertex AI and Gemini — that deliver measurable productivity and quality improvements

6+ years of software engineering experience with deep backend and architectural expertise
Proven experience building and scaling production AI systems, including LLM integrations and RAG pipelines
Full stack capability — solid frontend proficiency with React or similar frameworks for internal tooling UIs
Deep systems thinking and ability to design platforms used across multiple teams and brands
Expertise in cloud platforms, distributed systems, and container orchestration (Kubernetes/Docker)
Demonstrated executive team in technical strategy, platform design, and cross-functional influence
Exemplary communication skills and ability to drive alignment across engineering organizations

Staff Software Engineer, AI

Key skills