> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt. # Senior AI/ML Engineer, Cloud AI Research Canonical URL: https://nextmove.md/fde/jobs/37629b31ce74e34c Google posts a senior FDE role to build what the customer runs in Mountain View, CA, at $174,000–$252,000 base, above the senior FDE median of $190,000 across 1,864 postings with pay. Leads rapid AI-agent prototyping and engineering, bridging foundational research and optimized ML infrastructure with enterprise deployment. Read from the employer’s posting on November 8, 2026. - [Google](https://nextmove.md/fde/companies/google) First seen Oct 14, 2026 · open on Google careers as of Nov 8, 2026 **$174,000–$252,000** *annualized* Mountain View, CA Leads rapid AI-agent prototyping and engineering, bridging foundational research and optimized ML infrastructure with enterprise deployment. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F37629b31ce74e34c&placement=top) - [View posting at Google](https://www.google.com/about/careers/applications/jobs/results/90025202691252934) Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so. ## At a glance ### Posted base pay $174K–$252K Above the median Midpoint $213K · median $190K This job $174K to $252K. Senior FDE postings, 1,864 postings: the middle 50% of posted pay is $160K to $220K, median $190K. [Compare pay across all Google postings](https://nextmove.md/fde/salary/google) ### The work Builds what the customer runs Balance **Mostly building** Project stages 1. Pre-sales (not covered) 2. Proof of concept 3. Implementation 4. Operations (not covered) - **Coding**: Writes production code - **Builds for**: External customers - **Level**: Senior - **Role**: Technical lead ### What they ask for Experience - **5+ years** Software development, including coding - **3+ years** ML system design and optimizing ML infrastructure Background - **Software engineering** ### Do you meet what the posting states? The posting asks for 3+ years. How many do you have? The posting reads as a senior role. What level are you at now? The job is in Mountain View, CA. Could you work there? Which of these have you used in production? Answer each one. Nothing is saved or sent. [What postings ask for, by background →](https://nextmove.md/fde/paths) ## Conditions - **Location**: Mountain View, CA ## More like this [Gray Swan](https://nextmove.md/fde/companies/gray-swan) ### [Senior Forward Deployed Engineer – Enterprise](https://nextmove.md/fde/jobs/2f8298f975b489cb) San Francisco, CA Remote 2mo ago $175,000–$220,000 [Accenture](https://nextmove.md/fde/companies/accenture) ### [Forward Deployed Engineer Manager](https://nextmove.md/fde/jobs/139f128284087904) Chicago, IL · Milwaukee, WI · +38 more 2mo ago $80,400–$316,300 [Apple](https://nextmove.md/fde/companies/apple) ### [Senior Platform Engineer, Find My](https://nextmove.md/fde/jobs/bcc832bcdee76cf6) Cupertino, CA 2w ago $150,400–$277,600 - [Other jobs at Google (23)](https://nextmove.md/fde/companies/google) ## The job description from Google ### About the job Google'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. The 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. In this role, you will deconstruct complex strategic requests, design robust agent state machines, and prove viability through functional thinnest viable proofs (TVPs). You will independently lead engineering workstreams to build both generalizable horizontal agents and vertical enterprise solutions, taking novel agentic prototypes directly into the field to solve real customer bottlenecks while mentoring junior engineers. 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: $174000 - $252000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google. ### Responsibilities - Lead 2–4 week "Strike Sprints" to rapidly prototype advanced agent state machines, tool-use orchestration, and reflection loops, transforming boilerplate programming into intent-driven AI topologies. - Partner with product and engineering teams via Forward Deployed Engineering (FDE), embedding into their workflows to translate novel agentic prototypes into scalable enterprise solutions. - Architect and build generalizable horizontal agents (e.g., AutoResearch and AutoFounder) to accelerate engineering/researcher velocity. - Develop agent architectures, planning frameworks, and self-improving foundation models to advance autonomous AI systems. - Collaborate across Google to disseminate technical playbooks and optionally paublish breakthroughs at ML conferences. ### Qualifications ### Minimum qualifications: - Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or equivalent practical experience - 5 years of experience in software development, including coding experience in Python, C++, Java, JavaScript, or R. - 3 years of experience in ML system design and optimizing ML infrastructure (e.g., distributed training, model deployment, evaluation, data processing). - Experience developing autonomous agents, multi-agent workflows, or agentic frameworks (e.g., AutoGen, CrewAI, LangGraph, ADK, tool-use/function-calling, or multi-agent RL). - Experience designing, pre-training, fine-tuning, or evaluating Large Language Models (LLMs) and multimodal foundation models. ### Preferred qualifications: - Master's degree or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related technical discipline. - First-author scientific publication submission(s) on agents in machine learning and NLP for conferences, journals, or public repositories (e.g., NeurIPS, ICML, ICLR, ACL). - Proven experience independently driving engineering delivery in rapid SWAT, Pathfinding, or Forward Deployed Engineering (FDE) environments. - Experience building complex evaluation benchmarks, test harnesses, or simulation environments. - Experience in RL, reward modeling, and human/AI preference alignment techniques (e.g., RLHF, RLAIF, DPO). [View posting at Google](https://www.google.com/about/careers/applications/jobs/results/90025202691252934) ## About Google Builds global consumer, ads, cloud, developer and AI platforms spanning Search, YouTube, Android, Workspace and Gemini. Public · 5000+ people ## Similar jobs [Amazon (incl AWS)](https://nextmove.md/fde/companies/amazon-incl-aws) ### [Senior Forward Deployed Engineer, AWS Forward Deployed Engineering](https://nextmove.md/fde/jobs/0ebf30b12510c57d) East Palo Alto, CA · Boston, MA · +3 more New · 5d ago $168,100–$261,500 [Sleuth Insights](https://nextmove.md/fde/companies/sleuth-insights) ### [Senior Software / Data Engineer](https://nextmove.md/fde/jobs/8680836a0da5ee33) San Francisco, CA · Los Angeles, CA Hybrid 2w ago $170,000–$210,000 [OpenAI Deployment Company](https://nextmove.md/fde/companies/openai-deployment-company) ### [Forward Deployed Engineer - US](https://nextmove.md/fde/jobs/465d1561603a9449) San Francisco, CA · New York, NY Hybrid 4mo ago $170,000–$400,000 [Intercom](https://nextmove.md/fde/companies/intercom) ### [Forward Deployed Engineer](https://nextmove.md/fde/jobs/0b7b9b01aafdb7a1) San Francisco, CA Hybrid 9d ago $180,000–$237,000 [Syntiant](https://nextmove.md/fde/companies/syntiant) ### [Forward Deployed Engineer](https://nextmove.md/fde/jobs/e0bcf35f10ba6dd1) Redwood City, CA New · 4d ago $195,000–$225,000 - [Compare senior FDE salary ranges](https://nextmove.md/fde/salary/senior) - [Similar jobs in SF Bay Area](https://nextmove.md/fde/jobs?region=sf-bay-area) - [Similar jobs that build what the customer runs](https://nextmove.md/fde/jobs?role=builds-for-customers) Hiring at Google and want this page changed or removed? Email info@nextmove.md and we take it down. Employer postings · [How we read postings](https://nextmove.md/fde/method)