AWS Solution Architect

Capgemini • San Francisco, CA

3d • Remote

About The Position

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

Requirements

• 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.

Responsibilities

• 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.

Benefits

• 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
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed