GenAI Tech Lead: Multi-Agent AI & Production

Google; Mountain View (CA); On-site; USD 186,000 - 269,000; Full time

Job summary

Google is seeking a senior AI/Go-To-Market engineering leader for the YouTube AI Accelerator to drive AI transformation across GTM operations. You will build GenAI PoCs (LLMs, RAG) and deliver production-grade multi-agent systems, partnering with product, engineering, and business teams to turn ideas into scalable solutions.

In this role you will own end-to-end delivery, advocate for safe, compliant AI, and help accelerate enterprise adoption of AI, with a competitive compensation package

Qualifications

• Bachelor's degree or equivalent practical experience in software development.
• 9 years of experience building APIs or web applications, scalable architectures, data privacy.
• 8 years of full-stack development with languages (Python, Go, Java, C++, TypeScript) and enterprise AI.
• 4 years coordinating with stakeholders to create product roadmaps.
• 4 years as Tech Lead or Engineering Manager.

Responsibilities

• Build GenAI PoCs (LLMs, RAG, agentic frameworks) to demonstrate feasibility to stakeholders.
• Serve as engineering Lead delivering complex AI applications, transitioning prototypes to production-grade systems.
• Partner with product management to co-create tool roadmaps enabling YouTube's business operations.
• Author technical designs, write clean/maintainable code, build front-ends, and deliver from scoping to deployment.
• Build high-performance eval pipelines and observability frameworks to resolve AI bottlenecks while ensuring safety, compliance, and latency.

Skills

API development

Full-stack development

Backend data pipelines

Distributed systems

Technical leadership

Education

Bachelor's degree in CS/EE or related

Equivalent practical experience

Tools

Kubernetes

Cloud services

LLM tooling

Job description

Google is seeking a senior AI/Go-To-Market engineering leader for the YouTube AI Accelerator to drive AI transformation across GTM operations. You will build GenAI PoCs (LLMs, RAG) and deliver production-grade multi-agent systems, partnering with product, engineering, and business teams to turn ideas into scalable solutions.

In this role you will own end-to-end delivery, advocate for safe, compliant AI, and help accelerate enterprise adoption of AI, with a competitive compensation package