AWS Solutions Architect

Capgemini
United States
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Compensation
$98,497.0 - $233,248.0
Working hours
Regular working hours
Job source

Tech stack

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
+6 more
Generative AI Virtual Agents Functional Programming Cloudwatch Api Gateway Servicenow

Job 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.

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.

Benefits & conditions

The base compensation range for this role in the posted location is $98,497 to $233,248

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

  • 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 (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

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

About the company

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world., 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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:43 min

The enduring legacy of the amazon S3 storage API

Chris Heilmann +3 · LIVE

56 sec

Integrating automated approval workflows into the portal

Markus Eisele Markus Eisele · WWC 2025

3:13 min

Navigating the GenAI observability dashboard in Amazon CloudWatch

Yasemin Aktürk Yasemin Aktürk · Europe 2026 Virtual

4:52 min

Delivering diverse consulting services from agile to artificial intelligence

Ranjit Lopez Ranjit Lopez · Europe 2026 Virtual

5:08 min

Automating data collection and managing crowdsourced training image sets

Kris Howard · LIVE

2:12 min

Navigating technical clarity as a global black belt

Chris Heilmann +2 · LIVE

Videos

See all

Related articles

See all