{"id":3081956,"url":"https://alion.io/job/google-senior-staff-aiml-engineer-cloud-ai-research","title":"Senior Staff AI/ML Engineer, Cloud AI Research","company":{"id":82,"name":"Google","domain":"google.com","url":"https://alion.io/company/google","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":83,"open_postings":172,"ghost_share":0.041,"stale_share":0.57,"repost_share":0.041,"time_to_fill_p50_days":30,"computed_at":"2026-10-25T05:49:26Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mountain View, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":194000,"max_usd":389000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":844},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"C++","optional":false},{"name":"CrewAI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Google ADK","optional":false},{"name":"JavaScript","optional":false},{"name":"LangGraph","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Pre-training","optional":false},{"name":"Python","optional":false},{"name":"LangChain","optional":true},{"name":"NLP","optional":true},{"name":"Reward Modeling","optional":true}],"status":"live","first_seen_at":"2026-10-15T06:36:48Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-25T05:14:47Z","board_verified":true,"closed_at":null,"days_open":10,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":10},"description":"About the job\nGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.\nThe frontier of AI is moving faster than the traditional enterprise deployment lifecycle can tolerate. Our organization exists to eliminate that \"GenAI Engineering Gap.\" Operating as an AI-Native pathfinding engine at the intersection of foundational research, optimized ML infrastructure and rapid prototyping, we don't simply publish papers; we build the future of AI agents and deploy them at breakneck speed.\nIn 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.\nGoogle 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\nLearn more about benefits at Google.\nResponsibilities\nArchitect 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.\nServe 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.\nSet the architectural goals and lead the development of generalizable horizontal agents (e.g., AutoResearch and AutoFounder) that fundamentally alter engineering velocity across Google.\nDirect the research agenda to develop agent architectures, novel planning frameworks, and self-improving foundation models.\nAct as a thought leader across Google, defining centrally governed agentic playbooks, and actively publishing definitive breakthroughs at ML conferences.\nQualifications\nMinimum qualifications:\nBachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or equivalent practical experience.\n8 years of experience in software development, including experience with Python, C++, Java, or JavaScript.\n8 years of experience leading large-scale ML system design and optimizing ML infrastructure (e.g., distributed training, model deployment, evaluation).\nExperience developing autonomous agents, multi-agent workflows, or agentic frameworks (e.g., AutoGen, CrewAI, LangGraph, ADK, tool-use/function-calling, or multi-agent).\nExperience designing, pre-training, fine-tuning, or evaluating Large Language Models (LLMs) 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