AWS Solution Architect
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Job Description
AWS Solutions Architect designing Amazon Bedrock Agentic AI systems for Capgemini’s global technology transformation clients. Leading enterprise architecture, client workshops, RAG, governance, and evaluation frameworks.
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 shaping prompts, agent configuration, and evaluation approaches
- Design the end-to-end AWS AI solution architecture for a multi-agent solution using 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 and establish scope, assumptions, and dependencies
- Lead client workshops and align platform, security, architecture, and data-owner teams
- Present solution designs, architecture recommendations, project progress, and technical decisions to stakeholders and leadership
- Define agent evaluation methodologies, acceptance criteria, and delivery sequencing across Agile sprints
- Perform hands-on prompt engineering, Bedrock agent configuration, and evaluation framework setup
- Work with business and technology representatives from the client to deliver quality solutions
Requirements:
- 10+ years of 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
- Strong understanding of AWS, AI, and enterprise technology components and capabilities
- Strong workshop facilitation skills engaging client architects, engineering leaders, and business stakeholders
- Strong analytical thinking for assessing enterprise requirements and connecting systems, data sources, and AI capabilities
- Excellent problem-solving and troubleshooting skills for complex technical challenges
- Knowledge of delivery activities from requirement analysis through product release and post-production support
- 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 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
Benefits:
- Paid time off based on employee grade (A-F)
- 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.)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
- May be eligible for variable incentives, bonuses, or commissions, depending on the position and applicable laws
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