AWS Solution Architect

🕒 August 8

🇺🇸 United States – Remote

💵 $98.5k - $233.2k / year

⏰ Full Time

🟠 Senior

🔴 Lead

💻 Solutions Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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 • Own 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 reuse, net-new capabilities, scope, assumptions, and dependencies • Lead client workshops and drive alignment across 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 • Stay hands-on with prompt engineering, Bedrock agent configuration, and evaluation framework setup • Work with business and technology representatives from the client to deliver overall quality

🎯 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 • Ability to conceptualize latest technology landscape requirements and drive technical solutions • 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 to assess enterprise requirements and connect systems, data sources, and AI capabilities • Excellent problem-solving and troubleshooting skills • 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

• 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 • Variable incentives, bonuses, or commissions may be available