Agentic AI Software Engineering Manager, POps Engineering AI Foundation
San Jose, CA, USA +1 · Manager · Full-time · Posted Oct 13, 2026
- Location
- San Jose, CA, USA
New York, NY, USA - Experience
- 8 years managing and developing managers; 8 years designing software architecture, including AI/ML systems; 8 years building and architecting ML systems and infrastructure; 5 years in people management, supervision, or team leadership. Preferred: 15 years of software engineering management experience; 5 years applying advanced AI methods.
- Education
- Bachelor’s degree or equivalent practical experience.
About the job
Leads a team building agentic AI systems and infrastructure for Google’s workforce lifecycle, from applied AI research through production deployment.
What you'll do
- Set technical direction and execution for agentic AI architectures, including methods to improve accuracy and reduce hallucinations.
- Lead, mentor, and develop AI/ML engineers working on algorithms, model tuning, alignment, and agent deployment.
- Oversee evaluation, serving infrastructure, reliability improvements, and cross-functional work to address productivity and quality issues.
What they ask for
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience managing and developing managers.
- 8 years of experience designing software architecture for applications, including AI/ML systems.
- 8 years building and architecting ML systems and infrastructure; 5 years in people management, supervision, or team leadership.
Nice to have
- 15 years of software engineering management experience building and managing technical engineering teams.
- Experience with advanced AI methods, fine-tuning, reinforcement learning, reward models, classifiers, or agentic workflows.
Pay
$262000 - $364000 USD base salary
Tools
Reinforcement Learning (RL), Reward Models (RM), LoRA/SFT
AI focus
Leads development and production deployment of agentic AI, applying advanced AI/LLM research, reinforcement learning, reward models, classifiers, fine-tuning, alignment, evaluation, and serving infrastructure.
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