GenAI Forward-Deployed Engineer: AI Architect Lead

Google LLC; San Bruno (CA); On-site; USD 186,000 - 269,000; Full time

Job summary

Google LLC’s gTech Users and Products group is hiring into the AI Accelerator team to lead the AI transformation across YouTube Biz GTM operations. You’ll drive high-velocity cross-functional work, building scalable AI-powered solutions and productionizing prototypes into robust systems that impact business outcomes.

The role emphasizes collaboration with product and engineering, ownership of end-to-end delivery, and delivering safe, compliant AI with strong observability and performance.

Qualifications

• Bachelor's degree in CS/EE/math or related field.
• 9 years of API/web apps, scalable architectures, data pipelines and privacy.
• 8 years full-stack dev with languages like Python/Go/Java/C++/TS and enterprise AI.
• 4 years building product roadmaps with business stakeholders.
• 4 years as Tech Lead or Engineering Manager.

Responsibilities

• Build GenAI PoCs (LLMs, RAG, agentic frameworks) to demonstrate feasibility to stakeholders.
• Deliver production-grade AI applications and transition prototypes into scalable systems.
• Partner with product management to co-create tool roadmaps enabling YouTube business operations.
• Author designs, write clean code, and deploy from scoping to production.
• Build eval pipelines and observability frameworks ensuring accuracy, safety, and latency.

Skills

API design

Full-stack development

Leadership & collaboration

AI solutions

Backend data pipelines

Education

Bachelor's degree

Tools

Python

Go

Java

C++

TypeScript

Job description

Google LLC’s gTech Users and Products group is hiring into the AI Accelerator team to lead the AI transformation across YouTube Biz GTM operations. You’ll drive high-velocity cross-functional work, building scalable AI-powered solutions and productionizing prototypes into robust systems that impact business outcomes.

The role emphasizes collaboration with product and engineering, ownership of end-to-end delivery, and delivering safe, compliant AI with strong observability and performance.