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Agentic AI Software Engineering Manager, POps Engineering AI Foundation

Google· Google Corporate Engineering / People Operations Engineering (POps Eng)
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San Jose, CA; New York, NY$262k - $364kFull-timePosted 1w ago

About the role

Software Engineering Manager leading a team building autonomous systems and intelligence infrastructure powering the Google workforce lifecycle, applying advanced AI and LLM research to engineer resilient, low-latency production systems.

Responsibilities

  • Direct the goal and execution for agentic AI architectures, applying modeling techniques, Reinforcement Learning (RL), Reward Models (RM), and custom classifiers to significantly suppress hallucinations and achieve high-accuracy task execution.
  • Lead, grow, and mentor a highly specialized team of experienced AI/ML software engineers working on advanced algorithm design, model tuning (LoRA/SFT), and agentic deployment.
  • Bridge applied AI research and production deployment by overseeing engineers driving fine-tuning, reward model alignment, continuous evaluation, and agent serving infrastructure.
  • Leverage telemetry, offline/online benchmarks, and developer tooling to improve product excellence, production reliability, and engineering execution velocity across agentic workflows.
  • Partner closely with developers, product managers, and internal business owners across Google to identify productivity bottlenecks, coverage gaps, and quality issues.

Qualifications

  • Bachelor’s degree or equivalent practical experience
  • 8 years of experience in managing and developing managers
  • 8 years of experience designing software architecture for applications, including AI/ML systems
  • 8 years of experience building and architecting ML systems and infrastructure (e.g., for model training, evaluation, deployment, serving)
  • 5 years of experience in a people management, supervision/team leadership role

Skills

Required:Agentic AI architecturesReinforcement Learning (RL)Reward Models (RM)LoRA/SFT model tuning

Benefits

  • Learn more about benefits at Google (link provided in job description)
Last updated Oct 23, 2026. Interested? Apply on the company site.

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