{"id":3728207,"url":"https://alion.io/job/capgemini-ai-architect-vertex-ai","title":"AI Architect (Vertex AI)","company":{"id":145,"name":"Capgemini","domain":"capgemini.com","url":"https://alion.io/company/capgemini","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":79,"open_postings":1726,"ghost_share":0.002,"stale_share":0.814,"repost_share":0.017,"time_to_fill_p50_days":30,"computed_at":"2026-11-04T06:34:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A2A","optional":false},{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Google ADK","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"Google GKE","optional":false},{"name":"Hallucination","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"IAM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Terraform","optional":false},{"name":"Vertex AI","optional":false},{"name":"Vertex AI Agent Builder","optional":false},{"name":"AWS","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"Azure","optional":true},{"name":"Knowledge Distillation","optional":true},{"name":"Kubernetes","optional":true},{"name":"Looker","optional":true},{"name":"Machine Learning","optional":true},{"name":"Model Distillation","optional":true},{"name":"OpenAI","optional":true}],"status":"live","first_seen_at":"2026-11-03T14:43:33Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-04T15:52:09Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.\nLocation: Hartford, CT (3 days/week from office).\nMust have\n12+ years in IT, 5+ in cloud/data/AI architecture, 2+ designing production GenAI and Vertex AI.\nRole summary\nOwn the end-to-end architecture of GenAI and agentic solutions on Google Cloud for insurance clients. You shape solutions in pre-sales, set the technical direction for delivery teams, and make sure what ships is secure, governed, scalable and cost-efficient.\nRequired skills\nDeep, hands-on GCP: Gemini Enterprise Agent Platform (Vertex AI), Gemini API, Agent Builder, Cloud Run, GKE, BigQuery, Apigee, IAM and networking.\n\nProven production RAG and agentic systems at enterprise scale.\n\nPython and solution prototyping; comfortable reviewing engineers' code.\n\nLLM evaluation, guardrails and cost optimization (context caching, batch prediction, model tiering).\n\nInfrastructure as code (Terraform) and CI/CD for ML/GenAI.\n\nStrong stakeholder management, solutioning and documentation (ADRs, HLD/LLD).\n\nKey responsibilities\nDefine reference architectures for RAG, document intelligence and multi-agent systems on Gemini Enterprise Agent Platform (Vertex AI).\n\nChoose models (Gemini family, Model Garden, open models) based on accuracy, latency and cost; set model-routing and fallback patterns.\n\nDesign agent architectures with ADK, Agent Engine, A2A and MCP; define tool, memory and session strategy.\n\nDesign the data foundation: BigQuery, Cloud Storage, AlloyDB, Vector Search / Vertex AI Search, Document AI, Dataflow and Pub/Sub.\n\nSet integration patterns with policy admin, claims and underwriting systems (for example Guidewire, Duck Creek) through Apigee and event-driven APIs.\n\nOwn security and compliance: VPC Service Controls, CMEK, IAM, Sensitive Data Protection, audit logging, data residency.\n\nSet up LLMOps: evaluation frameworks, prompt and model versioning, monitoring, drift and hallucination tracking, human-in-the-loop review.\n\nLead Responsible AI reviews: explainability, bias testing, model risk documentation for insurance regulators.\n\nEstimate effort and cloud cost (tokens, compute, storage) for proposals and SOWs; build POCs that win deals.\n\nPresent to client architecture boards and CXOs; mentor GenAI leads and engineers across programs.\n\nNice to have\nInsurance or financial services domain: underwriting, submissions intake, claims, COI, E&S.\n\nMulti-cloud GenAI exposure (Azure OpenAI, AWS Bedrock) for comparative solutioning.\n\nGemini Enterprise (formerly Agentspace) rollout for employee-facing agents.\n\nModel tuning and distillation; Looker semantic layer for analytics agents.\n\nCertifications (preferred)\nGoogle Cloud Professional Cloud Architect (required or within 3 months)\n\nGoogle Cloud Professional Machine Learning Engineer\n\nGoogle Cloud Generative AI Leader.\n\nThe base compensation range for this role in the posted location is: $130,000 - $140,000\nCapgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.\nThe actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.\nThese may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.\nIt is not typical for candidates to be hired at or near the top of the posted compensation range.\nIn addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.\nCapgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:\nPaid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave\nMedical, dental, and vision coverage (or provincial healthcare coordination in Canada)\nRetirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)\nLife and disability insurance\nEmployee assistance programs\nOther benefits as provided by local policy and eligibility\nImportant Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.\nDisclaimers\nCapgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.\nThis is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.\nPlease be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.\nClick the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law\nCapgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.","description_format":"text","description_chars":8022,"description_truncated":false,"requirements":{"experience_years_min":12,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Retirement plans"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Systems Integrators","Management Consulting","Engineering Services"],"lifecycle":[{"event":"open","at":"2026-11-04T06:25:24Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 2,076 · green card filings: 82","filings_12m":2076,"filings_prev_12m":2803,"green_card_filings_12m":82,"median_offered_wage_usd":132120,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":1012}],"liveness":{"score":60,"band":"ok","label":"Likely open","p_open":1,"p_active":0.602,"p_room":1,"age_days":0,"expected_fill_days":30,"reasons":["conf:0","stale_co","win:early","comp:brand"],"computed_at":"2026-11-04T06:34:25Z"},"pay":null,"html_url":"https://alion.io/job/capgemini-ai-architect-vertex-ai","json_url":"https://alion.io/job/capgemini-ai-architect-vertex-ai.json","meta":{"generated_at":"2026-11-04T17:20:27Z","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":26545,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-05T00:00:00Z"}},"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":145},"rest":"https://alion.io/mcp/rest/get_company?id=145"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcapgemini-ai-architect-vertex-ai"},{"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%2Fcapgemini-ai-architect-vertex-ai"},{"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%2Fcapgemini-ai-architect-vertex-ai"},{"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/capgemini-ai-architect-vertex-ai\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcapgemini-ai-architect-vertex-ai"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3728207}},{"tool":"search_jobs","arguments":{"company":"capgemini.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3728207},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}