{"id":1237627,"url":"https://alion.io/job/google-forward-deployed-engineer-applied-ai-google-cloud","title":"Forward Deployed Engineer, Applied AI, Google 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":117,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-09-27T05:45:00Z"}},"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":["Paris, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":74000,"max_usd":169000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":834},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false},{"name":"Vertex AI","optional":false},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-09-25T13:41:07Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-26T21:50:13Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"About the job\nAs a Forward Deployed Engineer (FDE) in Applied AI, you are the Agent Engineer and the primary driver for our customers' most critical AI initiatives. You take initial conversational prototypes and transform them into production-ready solutions, owning the end-to-end engineering life-cycle, including the transition from \"Art-of-the-Possible\" to real-world business value and scalable, secure AI systems. In this high-travel, high-impact role, you will be focused on leading technical delivery for Conversational AI pilots and establishing the first Customer User Journeys (CUJs) for our largest customers at their sites. You will require a deep understanding of software engineering, machine learning operations, and cloud infrastructure.\nIt's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility-a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era-the market is yours.\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.France: €104000 - €106000 (EUR) + 15% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nServe as the lead developer for complex Conversational AI and CX applications, transitioning from prototypes to production-grade agentic workflows (e.g., multi-agent systems, Model Context Protocol (MCP) servers) that drive measurable return on investment.\nArchitect and code conversational flows that are functional and optimized for the \"connective tissue\" between Google’s Conversational AI products and customers’ live infrastructure, including APIs, legacy data silos, and security perimeters.\nBuild high-performance evaluation (Eval) pipelines and observability frameworks to optimize agentic workloads, focusing on reasoning loops, tool selection, and reducing latency while maintaining production-grade security and networking.\nIdentify repeatable field patterns and technical \"friction points\" in Google’s AAI stack, converting them into reusable modules or product feature requests for Engineering teams.\nCo-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.\nQualifications\nMinimum qualifications:\nBachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.\n5 years of experience with software development using Python or similar coding languages.\nExperience architecting AI systems on cloud platforms (e.g., Google Cloud Platform (GCP).\nExperience deploying resources using Terraform or similar tools, to automate the setup of agents, functions, or networking.\nExperience building full-stack applications that interact with enterprise IT infrastructures, and developing external customer projects.\nPreferred qualifications:\nMaster’s or PhD in AI, Computer Science, or a related technical field.\nExperience implementing multi-agent systems using frameworks like ReAct and self-reflection.\nExperience debugging Agent logic and optimizing tool selection, including tracing conversation IDs across microservices to identify and resolve failures in real-time.\nExperience connecting agents to enterprise knowledge bases and optimizing Retrieval-augmented generation (RAG) chunking to prevent hallucinations.\nTrack record of troubleshooting live, high-traffic systems during critical windows.\nAbility to travel up to 50% of the time.","description_format":"text","description_chars":3963,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Operating Systems","Streaming & OTT Platforms","Foundation Models","Consumer Internet Groups"],"lifecycle":[{"event":"open","at":"2026-09-25T16:14:42Z"}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":1,"expected_fill_days":30,"reasons":["conf:7","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-09-27T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/google-forward-deployed-engineer-applied-ai-google-cloud","json_url":"https://alion.io/job/google-forward-deployed-engineer-applied-ai-google-cloud.json","meta":{"generated_at":"2026-09-28T05:36:55Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3790,"day_limit":5000,"remaining_today":1210,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}