AWS Solution Architect

AWS Solution Architect

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.

Location

This is remote role based Anywhere in USA

About the job you're considering

Capgemini is hiring an AWS Solutions Architect - Agentic AI & Amazon Bedrock to work with a scrum team in an onshore-offshore delivery model.

Your Role

• Own the AWS solution design for an Enterprise Agentic AI build and act as the primary technical face to the client.

• Lead architecture discussions and client alignment while staying hands-on enough to shape prompts, agent configuration, and evaluation approaches.

• Accountable for the end-to-end AWS AI solution architecture for a multi-agent solution leveraging Amazon Bedrock, RAG, guardrails, human-in-the-loop approval workflows, and governed writes to enterprise systems of record.

• Assess the client’s existing AWS and AI landscape; confirm reuse versus net-new capabilities and establish scope, assumptions, and dependencies early.

• Lead client workshops and drive alignment across platform, security, architecture, and data-owner teams.

• Present solution design, architecture recommendations, project progress, and technical decisions to stakeholders and leadership teams.

• Define agent evaluation methodologies, acceptance criteria, and delivery sequencing across Agile sprints.

• Stay selectively hands-on with prompt engineering, Bedrock agent configuration, and evaluation framework setup.

• Capable of conceptualizing latest technology landscape requirements and driving technical solutions.

• Work in a team covering business and technology with representatives from client to produce overall quality delivery.

Your skills and experience

• 10+ years of solid experience in AWS Solution Architecture with extensive client-facing enterprise consulting experience.

• Hands-on experience with Amazon Bedrock, Agentic AI architectures, Retrieval Augmented Generation (RAG), and Vector Search technologies.

• Experience working in Agile projects.

• Capable of conceptualizing latest technology landscape requirements and driving technical solutions.

• Strong understanding of various AWS, AI, and enterprise technology components and their capabilities.

• Works in a team covering business and technology with representatives from client to produce overall quality delivery.

• Strong workshop facilitation skills with the ability to effectively engage client architects, engineering leaders, and business stakeholders.

• Strong analytical thinking to assess enterprise requirements and connect systems, data sources, and AI capabilities in an efficient manner.

• Excellent problem-solving skills to resolve complex technical challenges and provide effective solutions and troubleshooting.

• Strong knowledge of activities across every phase of delivery from requirement analysis to product release and post-production support.

• Hands-on experience and expertise with Amazon Bedrock, Agentic AI solutions, multi-agent architectures, prompt engineering, and evaluation frameworks.

• Experience designing and implementing enterprise AI solutions using RAG, Vector Databases, Guardrails, and Human-in-the-Loop approval mechanisms.

• Experience assessing existing AWS environments and determining reuse opportunities versus net-new implementations.

• Knowledge of AWS services including IAM, Lambda, API Gateway, S3, CloudWatch, and cloud-native integration patterns.

• Experience with enterprise system integrations such as ServiceNow, ITSM platforms, and systems of record.

• Familiarity with AI security and governance including IAM, PII protection, auditability, and compliance requirements.

• Familiarity with Bedrock AgentCore and Model Context Protocol (MCP).

• Experience defining evaluation frameworks, acceptance criteria, and quality metrics for Generative AI and Agentic AI solutions.

#LI-SD1

The base compensation range for this role in the posted location is $98,497 to $233,248

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.

Capgemini 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:

• Paid 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

• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)

• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)

• Life and disability insurance

• Employee assistance programs

• Other benefits as provided by local policy and eligibility

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.

Click the following link for more information on your rights as an Applicant in the United States.

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.

Ref. code: 530486

Posted on: Sep 10, 2026

Experience Level: Experienced Professionals

Contract Type: Permanent

Location:

San Francisco, CA, US

Brand: Capgemini

Professional Community: Software Engineering

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.