AWS Solution Architect

🔥 0 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $98.5k - $233.2k / year

⏰ Full Time

🟠 Senior

🔴 Lead

💻 Solutions Engineer

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Capgemini

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1967

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.

📋 Description

• 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