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X In most instances, this position requires in-person interviews as part of the hiring process.
Minimum qualifications: - Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or equivalent practical experience.
- 8 years of experience in software development, including experience with Python, C , Java, or JavaScript.
- 8 years of experience leading large-scale ML system design and optimizing ML infrastructure (e.g., distributed training, model deployment, evaluation).
- Experience developing autonomous agents, multi-agent workflows, or agentic frameworks (e.g., AutoGen, CrewAI, LangGraph, ADK, tool-use/function-calling, or multi-agent).
- Experience designing, pre-training, fine-tuning, or evaluating Large Language Models (LLMs) and multimodal foundation models.
Preferred qualifications: - Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related technical discipline.
- Extensive track record of first-author scientific publication submissions on agents in machine learning and NLP at venues (e.g., NeurIPS, ICML, ICLR, ACL).
- Demonstrated success operating as a Senior Staff/Principal technical lead orchestrating rapid SWAT, Pathfinding, or Forward Deployed Engineering (FDE) environments at an enterprise level.
- Industry-leading expertise in RL, reward modeling, and human/AI preference alignment techniques.
- Deep mastery in developing test-time scaling methods, search-guided decoding, adversarial robustness, and complex alignment guardrails.
About the jobIn this role, you will guide executive leadership, deconstruct the enterprise bottlenecks across Google Cloud, and architect the overarching blueprints for our agent state machines. You will direct the technical agenda for generalizable horizontal agents and vertical Forward Deployed Engineering (FDE) deployments, ensuring that our pathfinding velocity unlocks massive commercial and platform value while simultaneously pushing the boundaries of AI science.
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $262000 - $364000 (USD) 25% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - Architect the technical framework for high-velocity "Strike Sprints," defining the gold standard for intent-driven AI topologies, reflection loops, and advanced agent state machines across the entire organization.
- Serve as the principal technical anchor for massive Forward Deployed Engineering (FDE) missions, aligning directly with VP/Director-level partners to translate speculative agentic prototypes into enterprise solutions.
- Set the architectural goals and lead the development of generalizable horizontal agents (e.g., AutoResearch and AutoFounder) that fundamentally alter engineering velocity across Google.
- Direct the research agenda to develop agent architectures, novel planning frameworks, and self-improving foundation models.
- Act as a thought leader across Google, defining centrally governed agentic playbooks, and actively publishing definitive breakthroughs at ML conferences.
