{"id":144802,"url":"https://alion.io/job/artefact-forward-deployed-engineer","title":"Forward Deployed Engineer","company":{"id":53062,"name":"Artefact","domain":"artefact.com","url":"https://alion.io/company/artefact-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":74,"open_postings":115,"ghost_share":0.348,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":124,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Solutions","role_family":"Solutions","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Utrecht, Netherlands"],"countries":["NL"],"hiring_countries":["NL"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":74000,"max_usd":158000,"period":"year","method":"role_seniority_country_cell","sample_n":14},"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A2A","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Cursor","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Go","optional":false},{"name":"Google ADK","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Hybrid Search","optional":false},{"name":"JavaScript","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"TypeScript","optional":false},{"name":"Vertex AI","optional":false},{"name":"Edge AI","optional":true}],"status":"live","first_seen_at":"2026-08-10T14:37:32Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-16T20:59:22Z","board_verified":true,"closed_at":null,"days_open":67,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":66},"description":"Who We Are\nArtefact is an applied AI company. We build systems that run in production, in our clients' own cloud, and keep running after we leave. We are present in 27 countries across all continents with a team of 2,500 employees and offer the most comprehensive set of AI & data solutions per industry, built on deep data science and cutting-edge AI technologies, delivering AI projects at scale in all industry sectors. From strategy to operations, we partner with 1000+ clients, including some of the world’s top 300 brands.\nThe Role\nWe are looking for a Senior Deployed AI Engineer specialized in Gemini Enterprise and the Google AI stack: an engineer who works embedded with our clients and takes AI products from idea to production.\nYou will design and build the interfaces, services, and agentic systems at the heart of our client work, such as conversational applications over enterprise data, multi-step agents that automate business workflows, and the retrieval and data pipelines that support them. You will own your components end to end: the front end, the service behind it, the data and retrieval pipelines feeding it, the deployment, and the evaluations proving it works.\nThis role combines deep, certified expertise in Google's enterprise AI stack (Gemini models, Vertex AI, and the Gemini Enterprise agent platform) with the ability to deliver end to end. Beyond your platform specialization, you will be expected to work confidently across the full delivery lifecycle - full-stack development, data engineering, cloud infrastructure, evaluation, and client communication.\nYou will work closely with our clients, with direct exposure from the start, and you will support the professional development of the engineers around you.\nWhat You'll Do\nBuild Full-Stack AI Applications, End to End\nYou will build AI products across the entire stack, from interface to infrastructure.\nDevelop user-facing interfaces and the backend services and APIs behind them in Python.\nImplement agentic behavior: orchestration, tool and function calling, memory, and guardrails.\nBuild retrieval-augmented generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid search.\nConnect AI systems to enterprise data and applications via APIs, semantic layers, and protocols such as MCP.\nGo Deep on Gemini Enterprise and the Google AI Stack\nYou will be the team's reference for Google's enterprise AI platform.\nDesign and build agents with Gemini models, Vertex AI, the Agent Development Kit (ADK), and Agent Engine.\nImplement and configure Gemini Enterprise for clients: Agent Designer for natural-language and trigger-based agents, the Inbox for managing long-running agents at scale, and agent sandboxes for autonomous problem-solving.\nConnect Gemini Enterprise to the client's application landscape through first-party and partner connectors, with proper permissions, governance, and auditability.\nBuild grounded, retrieval-backed applications with Vertex AI Search and RAG Engine, grounding with Google Search, and BigQuery as the data backbone.\nImplement agent interoperability through the A2A protocol and MCP.\nTrack Google's releases closely and translate new capabilities into client value quickly.\nMake AI Systems Production-Grade\nOur standard is production quality: systems that are reliable, monitored, and maintainable.\nWrite evaluation suites and regression tests for LLM-powered features, and monitor cost, latency, and quality in production.\nApply solid engineering practice: version control, code review, automated testing, CI/CD, and observability.\nDeploy on cloud infrastructure (GCP, Azure, or AWS) using containers, serverless, and infrastructure-as-code.\nBuild and maintain the data pipelines that feed AI systems, across warehouses, lakehouses, and vector stores.\nWork AI-Natively and Client-Facing\nOur engineers work AI-natively and represent Artefact directly with clients.\nUse agentic coding tools (Claude Code, Gemini CLI, Codex, Cursor) daily, with good judgment about verification and review.\nCommunicate progress, trade-offs, and blockers clearly to clients and project leads.\nSupport pre-sales when needed: scope solutions, build demos, and estimate effort with our partnership and consulting teams.\nMentor junior engineers and contribute to internal accelerators, reusable components, and engineering standards.\nWhat We're Looking For\n1-3 years of experience in software engineering or data engineering, with extensive hands-on use of AI tools and LLM-based development over the past year (professional projects, internal initiatives, or substantial personal builds).\nStrong hands-on experience with the Google AI stack: Gemini models, Vertex AI, and ideally Gemini Enterprise or ADK - ideally with experience taking at least one solution to production on GCP.\nStrong programming skills in Python and TypeScript/JavaScript, and experience building and consuming APIs.\nExperience with front-end development (React or similar) and at least one backend framework.\nHands-on experience with RAG, embeddings, and vector search, and with at least one agentic framework (Google ADK, LangGraph/LangChain).\nStrong working experience with GCP; Azure or AWS is a plus.\nFluency with agentic coding tools such as Claude Code, Gemini CLI, Codex, or Cursor.\nExperience building and maintaining data pipelines.\nBachelor's or Master's degree in computer science, engineering, or a related field, or equivalent practical experience.\nWhy you should join us:\nLearning and Development: Join a team of passionate Consultants always ready to help each other, providing opportunities to learn and collaborate with some of the best in the field.\nCulture of Celebration: We pride ourselves on creating a collaborative and fun work environment with regular team events and activities.\nCompetitive Rewards: Enjoy a comprehensive benefits package, including a competitive salary, phone & travel reimbursements, remote work allowance, and a Onefit membership discount.\nWork-Life Balance: We offer flexibility with a hybrid working environment that lets you balance personal and professional commitments.\nFuel Your Day: Enjoy a healthy and delicious daily lunch from our extensive organic buffet.\nWeekly Unwind: Take advantage of our weekly massage sessions to de-stress and relax.\nCentrally Located: Our office is conveniently situated near the station for easy commuting.\nCareer Growth Opportunities: We’re committed to your professional development, offering continuous learning and internal promotion opportunities.\nJoin Us Now and Be Part of the Future:\nArtefact is experiencing exciting growth, and this is the perfect time to join our dynamic team and contribute to our success story.\nCome join us!","description_format":"text","description_chars":6715,"description_truncated":false,"requirements":{"experience_years_min":1,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Growth opportunities","Hybrid work","Professional development"],"hiring_locations":[{"name":"Netherlands","iso":"NL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Management Consulting","Digital Marketing","AI Consulting & Integration","Analytics & BI Consulting"],"lifecycle":[{"event":"open","at":"2026-08-10T14:37:32Z"}],"visa":[],"liveness":{"score":56,"band":"ok","label":"Likely open","p_open":1,"p_active":0.781,"p_room":0.72,"age_days":66,"expected_fill_days":124,"reasons":["conf:2","velocity","win:mid","crowd:brand"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/artefact-forward-deployed-engineer","json_url":"https://alion.io/job/artefact-forward-deployed-engineer.json","meta":{"generated_at":"2026-10-16T21:20:15Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":2253,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":53062},"rest":"https://alion.io/mcp/rest/get_company?id=53062"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fartefact-forward-deployed-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fartefact-forward-deployed-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fartefact-forward-deployed-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/artefact-forward-deployed-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fartefact-forward-deployed-engineer"}]}