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Agentic AI Software Engineering Manager, POps Engineering AI Foundation
Google
San Jose, USA
Manager · 15+ years experience
Onsite
USD 262000-364000 / year
Discovered 1 weeks ago
Full Job Posting
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.
Minimum 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.
Preferred qualifications:
- 15 years of software engineering management experience building and managing technical engineering teams.
- 5 years of experience applying advanced AI methods, modeling architectures, and alignment strategies to increase accuracy.
- Experience managing software or AI applied research engineers working on fine tuning, modeling, serving, and agentic workflows.
- Experience with reinforcement learning, reward model development, and classifier algorithms.
- Experience presenting technical strategy to cross-functional partners and executive leadership.
About Google
Technology10,001+Founded 1998
Technology company specializing in search, advertising, cloud computing, and AI
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