Solutions Architect - AWS Agentic WorkSpaces, Agentic WorkSpaces

Amazon is hiring a Solutions Architect - AWS Agentic WorkSpaces, Agentic WorkSpaces for a remote role open to applicants in France. Level rates it ; you can apply on Amazon.

Level's read on this job

Works on AI ●●●○ is how Level rates this solutions architect role: the daily work is on AI products, without building the model.
The posting lists this role as remote.
Tools and skills the posting cites include AWS, Amazon Workspaces and AI agents.
Level lists 21,000+ other open roles at Amazon.
The role was posted within the past week.

AI in this role

Design and implement AI-powered agentic cloud solutions and virtual desktop architectures as a Solutions Architect.

awsamazon-workspaces

ai-agentssolutions-architecturecloud-computingai-workflowsvirtual-desktops

Do you like helping customers implement innovative cloud computing solutions and solve technical problems? Would you like to do this using the latest cloud computing and AI technologies? Do you have a knack for helping groups understand application architectures and integration approaches? Do you have the consultative and leadership skills to help customers succeed with their cloud efforts? Are you passionate about cloud computing with a special focus on virtualized desktops, applications, document collaboration, and AI-powered, agentic end user computing experiences?
Amazon Web Services is looking for Solutions Architects to help establish AWS Agentic WorkSpaces (formerly known as Amazon End User Computing) as the market leader in end user computing. We are especially seeking SAs with a high level of AI fluency who are excited to help customers adopt the next generation of our portfolio, including Workspaces for Builders and Workspaces for Agents. We built AWS Agentic WorkSpaces services to give customers the agility to respond to the changing needs of their workforce. Customers can scale up or scale down on-demand, providing users with the resources they need, all without deploying and operating infrastructure.
This is a highly technical position for someone who can dive deep, build complex, AWS-optimized architectures, and help customers accelerate their adoption of AWS services and AI-powered, agentic workflows. Your broad responsibilities include owning technical engagement and ultimate success around specific implementation projects. You should be as comfortable discussing complex technical details with a room full of engineers as you are briefing an executive audience. In addition, you will engage with other AWS solutions architects, partner and professional services organizations to drive large and highly complex sales opportunities to closure.
The AWS Agentic WorkSpaces SA team is creating and migrating large scale and compelling workloads on AWS. You will be collaborating with and influencing technical teams requiring AWS expertise and in so doing will be making a significant impact on Amazon’s customers. Enjoy working with enterprise customers. You will have a passion for educating, training, designing, and building cloud and AI-enabled solutions for a diverse and challenging set of enterprise customers.

Key job responsibilities
• Work with customers to deploy Amazon Agentic WorkSpaces — Personal, Applications and Core — as well as Workspaces for Builders and Workspaces for Agents.
• Guide customers on designing and operating AI-powered, agentic end user computing experiences, helping them apply AI fluency to real-world builder and agent workflows.
• Educate customers on the value proposition of AWS and participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud.
• Conduct one-to-few and one-to-many training sessions to transfer knowledge to customers considering or already using AWS.
• Capture and share best-practice knowledge amongst the AWS solutions architect community.
• Author or otherwise contribute to AWS customer-facing publications such as whitepapers, blogs, and technical guides.
• Build deep relationships with senior technical individuals within customers to enable them to be cloud advocates.
• Act as a technical liaison between customers, partners, service engineering teams and support, advocating for the Voice of the Customer and channeling field insights to help shape product strategy and roadmap.

About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating, that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Basic qualifications

- Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).
- Experience in design, implementation, or consulting in applications and infrastructures
- Experience in IT development or implementation/consulting in the software or Internet industries
- 3+ years of experience designing and architecting workload migrations onto AWS.
- Practical or pre-sales experience with Virtual Desktop Infrastructure (VDI) or cloud-based Desktop-as-a-Service (DaaS) solutions.

Preferred qualifications

- Experience in infrastructure architecture, database architecture and networking
- Experience working with end user or developer communities
- Experience and practical knowledge with VDI and DaaS solutions, preferably Amazon WorkSpaces, Citrix or VMware/Omnissa Horizon.
- Experience with designing and architecting workload migrations onto AWS.

Amazon est un employeur engagé pour l'égalité des chances. Nous sommes convaincus qu'une main d'oeuvre diversifée est essentielle à notre réussite. Nous prenons nos décisions de recrutement en fonction de votre expérience et de vos compétences. Nous apprécions votre envie de découvrir, d'inventer, de simplifier et de construire. La protection de votre vie privée et la sécurité de vos données constituent depuis longtemps une priorité absolue pour Amazon. Veuillez consulter notre Politique de Confidentialité pour en savoir plus sur la façon dont nous collectons, utilisons et traitons les données personnelles de nos candidats.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Solutions Architect - AWS Agentic WorkSpaces, Agentic WorkSpaces at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Solutions Architect - AWS Agentic WorkSpaces, Agentic WorkSpaces is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in FR, Courbevoie and is marked remote.
The job was posted on October 22, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsSolutions ArchitectureCloud ComputingAI WorkflowsVirtual DesktopsAWSAmazon Workspaces

Also common in solutions architect jobs at this level

Python Generative AI Azure LLM Google Cloud Machine learning

Pay

Typical solutions architect job: $168k

This posting doesn't list pay. Use the typical solutions architect figure when pay comes up. See solutions architect jobs

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Tell me about a project where solutions architecture was part of your work. What did you do?
Tell me about a project where cloud computing was part of your work. What did you do?
Tell me about a project where ai workflows was part of your work. What did you do?
Tell me about a project where virtual desktops was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI agents, Solutions Architecture, Cloud Computing, AI Workflows, and Virtual Desktops. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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