AI Architect (Vertex AI)

Capgemini; Hartford (CT); Hybrid; USD 130,000 - 140,000; Full time

Job summary

Capgemini is seeking an AI Architect to own end-to-end GenAI and Vertex AI architectures for insurance clients. You will shape pre-sales directions, oversee delivery teams, and ensure secure, governed, scalable, and cost-efficient solutions.

Responsibilities include defining reference architectures for RAG, selecting models, designing data foundations with BigQuery and Vertex AI tools, and leading LLMOps and Responsible AI reviews across programs.

Qualifications

• 12+ years in IT, 5+ in cloud/data/AI architecture, 2+ designing production GenAI and Vertex AI.
• Strong expertise in GCP tech and Vertex AI governance.
• Ability to review engineers' code and prototype solutions.

Responsibilities

• Own end-to-end GenAI and agentic architecture on Google Cloud for insurance clients.
• Set technical direction for delivery teams and ensure secure, governed, scalable solutions.
• Define reference architectures for RAG and multi-agent systems on Vertex AI.
• Design data foundations: BigQuery, Cloud Storage, AlloyDB, Vector Search / Vertex AI Search, Document AI, Dataflow and Pub/Sub.
• Set integration patterns with policy admin, claims and underwriting systems through Apigee and event-driven APIs.
• Own security and compliance: IAM, CMEK, VPC Service Controls, audit logging, data residency.
• Set up LLMOps: evaluation, prompting, model versioning, monitoring, drift tracking, human-in-the-loop reviews.
• Lead Responsible AI reviews: explainability, bias testing, model risk docs for regulators.

Skills

Vertex AI

Gemini Enterprise Agent Platform

Python

LLM evaluation

Terraform

CI/CD for ML/GenAI

RAG

Security & compliance

Stakeholder management

Tools

Gemini Enterprise Agent Platform

Gemini API

Agent Builder

Cloud Run

GKE

BigQuery

Apigee

IAM

Networking

Job description

AI Architect (Vertex AI)

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 bya 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 organizationsunlock the value of technology and build a more sustainable, more inclusive world.

Location: Hartford, CT (3 days/week from office).

Contract Type: Permanent

Must have

12+ years in IT, 5+ in cloud/data/AI architecture, 2+ designing production GenAI and Vertex AI.

Role summary

Own 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.

Required skills

• Deep, hands-on GCP: Gemini Enterprise Agent Platform (Vertex AI), Gemini API, Agent Builder, Cloud Run, GKE, BigQuery, Apigee, IAM and networking.
• Proven production RAG and agentic systems at enterprise scale.
• Python and solution prototyping; comfortable reviewing engineers' code.
• LLM evaluation, guardrails and cost optimization (context caching, batch prediction, model tiering).
• Infrastructure as code (Terraform) and CI/CD for ML/GenAI.
• Strong stakeholder management, solutioning and documentation (ADRs, HLD/LLD).

Key responsibilities

• Define reference architectures for RAG, document intelligence and multi-agent systems on Gemini Enterprise Agent Platform (Vertex AI).
• Choose models (Gemini family, Model Garden, open models) based on accuracy, latency and cost; set model-routing and fallback patterns.
• Design agent architectures with ADK, Agent Engine, A2A and MCP; define tool, memory and session strategy.
• Design the data foundation: BigQuery, Cloud Storage, AlloyDB, Vector Search / Vertex AI Search, Document AI, Dataflow and Pub/Sub.
• Set integration patterns with policy admin, claims and underwriting systems (for example Guidewire, Duck Creek) through Apigee and event-driven APIs.
• Own security and compliance: VPC Service Controls, CMEK, IAM, Sensitive Data Protection, audit logging, data residency.
• Set up LLMOps: evaluation frameworks, prompt and model versioning, monitoring, drift and hallucination tracking, human-in-the-loop review.
• Lead Responsible AI reviews: explainability, bias testing, model risk documentation for insurance regulators.
• Estimate effort and cloud cost (tokens, compute, storage) for proposals and SOWs; build POCs that win deals.
• Present to client architecture boards and CXOs; mentor GenAI leads and engineers across programs.

Nice to have

• Insurance or financial services domain: underwriting, submissions intake, claims, COI, E&S.
• Multi-cloud GenAI exposure (Azure OpenAI, AWS Bedrock) for comparative solutioning.
• Gemini Enterprise (formerly Agentspace) rollout for employee-facing agents.
• Model tuning and distillation; Looker semantic layer for analytics agents.

Certifications (preferred)

• Google Cloud Professional Cloud Architect (required or within 3 months)
• Google Cloud Professional Machine Learning Engineer
• Google Cloud Generative AI Leader.

The base compensation range for this role in the posted location is: $130,000 - $140,000

Capgemini 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.

The 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.

These 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.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In 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.

Important 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.

Disclaimers

Capgemini 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.

This 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.

Please 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.

Capgemini 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.

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. 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.