Senior AI/ML Research Architect — Agent Systems & FDE

Google LLC; Mountain View (CA); On-site; USD 262,000 - 364,000; Full time

Benefits offered by this job

Health insurance

Equity

Job summary

Google LLC is seeking a Senior Staff AI/ML Research Engineer for Cloud AI Research in Mountain View, CA. This role focuses on building scalable agent architectures and enterprise-grade AI solutions within Google Cloud, guiding executive leadership and aligning with VP/Director-level priorities.

You will direct strategic agendas for generalizable horizontal agents and forward-deployed deployments, advancing state-of-the-art AI research and deployment at scale.

Qualifications

• Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or equivalent practical experience.
• 8 years of experience leading large-scale ML system design and optimizing ML infrastructure including distributed training, model deployment and 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.

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.

Skills

ML system design

Distributed training

Model deployment

Evaluation

Autonomous agents

LLMs & multimodal models

Education

Bachelor's degree in Computer Science, AI, ML, or equivalent

Job description

Google LLC is seeking a Senior Staff AI/ML Research Engineer for Cloud AI Research in Mountain View, CA. This role focuses on building scalable agent architectures and enterprise-grade AI solutions within Google Cloud, guiding executive leadership and aligning with VP/Director-level priorities.

You will direct strategic agendas for generalizable horizontal agents and forward-deployed deployments, advancing state-of-the-art AI research and deployment at scale.