Engineering Manager, AI Agent Architecture for Google Cloud Business Platforms
Sunnyvale, CA, USA · Manager · Full-time · Posted Oct 22, 2026
- Experience
- 8 years in software development; 5 years leading ML design and optimizing end-to-end Machine Learning; 3 years in technical leadership; 2 years with GenAI or related concepts; 2 years in people management or team leadership.
- Education
- Bachelor's degree or equivalent practical experience.
About the job
Leads the architecture and development of an enterprise AI platform, building scalable AI applications and agent systems for business workflows while managing an engineering team.
What you'll do
- Set technical strategy and lead development of Generative AI, LLM, and agent-based solutions.
- Design robust, scalable, secure AI applications and guide adoption of AI/ML tools and practices.
- Manage and mentor engineers; work with product, research, and other stakeholders on roadmaps and technical solutions.
What they ask for
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience leading ML design and optimizing end-to-end Machine Learning; 3 years in a technical leadership role.
- 2 years of experience with GenAI techniques or related concepts, and 2 years in people management or team leadership.
Nice to have
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field; 3 years in a complex, matrixed organization.
- 2 years leading technical teams in AI/ML, agentic orchestration, or large-scale enterprise platforms; experience with HITL workflows, evaluation, model distillation, or Google Cloud Platform technologies.
Pay
USD 207000 - 300000 base salary; 20% bonus target + equity + benefits (no total-pay range stated)
Tools
Generative AI, Large Language Models (LLMs), Multi-Modal, Large Vision Models, Google Cloud Platform
AI focus
Leads enterprise Generative AI, LLM, and agent-based platform architecture and development, including modeling enterprise context and operationalizing AI applications.
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