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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AWS Solution Architect - **Company:** Capgemini - **Location:** San Francisco, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $98,497.0 - $233,248.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Amazon S3, Cloud Engineering, Identity and Access Management, Scrum Methodology, Search Technologies, Systems Integration, Enterprise Software Applications, Multi-Agent Systems, Prompt Engineering, Generative AI, Virtual Agents, Functional Programming, Cloudwatch, Api Gateway, Servicenow - **Published:** August 9, 2026 - **Apply:** https://www.capgemini.com/jobs/530486-en_US_SAPBTP/x/ ## About the Role * 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. ## Description 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. ## Related Videos - [When Should You Use an Agent? 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