{"id":2437137,"url":"https://alion.io/job/google-forward-deployed-engineer-enterprise-context-layer-agentic-data-cloud","title":"Forward Deployed Engineer, Enterprise Context Layer, Agentic Data Cloud","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":75,"open_postings":114,"ghost_share":0,"stale_share":0.982,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-10-13T05:45:00Z"}},"role":"Solutions","role_family":"Solutions","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sunnyvale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":151000,"max_usd":294000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":824},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Knowledge Graph","optional":true},{"name":"LangChain","optional":true},{"name":"LlamaIndex","optional":true},{"name":"Model Context Protocol","optional":true}],"status":"live","first_seen_at":"2026-10-13T08:38:02Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-13T22:55:08Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About the job\nGoogle Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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.\nAs Forward Deployed Engineer (FDE), you will be at the forefront of applying Google's cutting-edge Generative AI to solve real-world issues for our most strategic customers. You will act as a specialized software engineer embedded with key accounts, working to build, deploy, and optimize sophisticated AI agents across our Gemini Enterprise for Customer Experience suite and other emergent enterprise AI solutions.\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.\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nAnalyze customer industries and profiles to translate business logic into functional AI agents.\nIdentify necessary agent skills and APIs, map decision trees, and build system guardrails to ensure accurate outputs.\nBuild custom skills or integrations to assist customers, and document successful processes for future standardization.\nTune AI agents by providing the appropriate voice, tools, and specific knowledge base required for specific brands.\nQualifications\nMinimum qualifications:\nBachelor’s degree or equivalent practical experience.\n\n5 years of experience in software development and testing or launching software products.\n\n3 years of experience with software design/architecture.\n\nExperience with Generative AI (GenAI) concepts (e.g., Large Language Model (LLM), multi-modal, large vision models).\n\nPreferred qualifications:\nExperience with Knowledge Graph, Ontologies.\nExperience developing with Generative AI and Large Language Models.\nFamiliarity with open-source AI orchestration frameworks (e.g., LangChain, LlamaIndex). 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