Prototyping Architect, AGS - Tech - Field - EMEA - PACE

Amazon is hiring a Prototyping Architect, AGS - Tech - Field - EMEA - PACE in Courbevoie, France. Level rates it ; you can apply on Amazon.

Level's read on this job

Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
The posting mentions Claude, Bedrock and SageMaker among its tools and skills.
Amazon has 20,000+ other open roles on Level.
Posted in the last few days.

AI in this role

ClaudeBedrockSageMakerClaude Code

ai-agentsai-automation

If you want to explore the frontier of AI and prove what it can do, alongside great engineers and ambitious customers, we'd love to hear from you.
You will be a Prototyping Architect in the AWS PACE (Prototyping and AI Customer Engineering) team, based in Paris.
- You are a hands-on AI builder who combines deep technical expertise with excellent interpersonal skills, helping enterprises across France and Europe South turn their most ambitious ideas into working technology proofpoints on AWS, with generative AI and agentic systems at the core of what you build.
- You work at the intersection of emerging technology and real customer problems. You take an ambiguous business challenge and co-build a real technical implementation of the solution, bringing generative AI, agentic systems, and cloud-native architectures together into a working prototype that proves what is possible on AWS.
- You thrive in ambiguity. Your customers are navigating generational technology shifts, foundation models, autonomous agents, intelligent automation, and you help them cut through the noise, make crisp technical decisions, and move fast. You work backwards from customer outcomes, you insist on the highest standards in design and delivery, and you grow at the frontier of the field.
- You spend most of your time hands-on-keyboard, pair-programming with customer engineers and alongside Prototype Engagement Managers, Solutions Architects, Specialists and partners. You deliver multi-week engagements that de-risk transformation and accelerate customers' paths to production. Just as importantly, you leave the customer's team more capable than you found them, transferring the skills and reusable foundations they need to take the solution forward themselves.
This role is based in Paris, with French and English used day to day, and supports customers across France and the Europe South region.

Key job responsibilities
● You partner with the Prototype Engagement Manager and local stakeholders across France and Europe South to technically qualify and scope new prototype opportunities.
● You support customers' agentic transformation with AWS, translating concrete business use cases into buildable prototypes and accelerating the path from idea to measurable business value and production adoption.
● You lead the design and implementation of prototype architectures, working alongside prototyping architects, solutions architects and other stakeholders, with a focus on Generative AI and agentic technologies (Amazon Bedrock, Amazon Bedrock AgentCore, Amazon SageMaker).
● You deliver 3 to 6 week hands-on prototype projects with customers and partners in agile, collaborative development engagements.
● You drive continuous technical enablement and knowledge transfer to the customers and partners you work with, including modern AI-assisted development practices (AI-DLC, coding assistants such as Kiro and Claude Code).
● You develop and present technical demonstrations to senior business and technical leaders, and document your projects as appropriate, including the prototype report and path-to-production recommendations.
● You collaborate proactively with the wider AWS community, such as Solutions Architects and Service and Solution teams, to ensure the best possible customer outcomes during engagements.
● You develop reusable technical assets from your engagements and share them across the PACE, EMEA and worldwide AWS builder community.

A day in the life
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred 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.

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.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship and 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.

About the team
Prototyping in AWS (PACE: Prototyping and AI Customer Engineering) is a program designed to engage at an early stage with our customers who are looking to build their custom solutions using AWS technologies, and to support them hands-on to discover the Art of the Possible with AWS. Three words define how we work: Explore, Prove, Deliver. A prototype is a real technical implementation of a solution to a customer's business challenge. It brings the technology and the business concepts together, focusing on co-development and knowledge transfer to our customers, implementing a specific use case while following AWS best practices. The team works with enterprise customers across industries, with a strong focus on Generative AI and agentic use cases, to accelerate agentic customer transformation at scale.

Basic qualifications

- Hands-on experience building with Generative AI and/or machine learning combined with cloud computing experience (AWS services knowledge is a plus).
- Hands-on experience in one or more technology domains such as software development, systems engineering, infrastructure, security, networking, or data and analytics, with the ability to build working solutions independently.
- Experience in software development, implementation, or consulting (typically 5+ years) in the software or internet industries.
- Experience communicating across technical and non-technical audiences, including executive-level stakeholders and clients.
- Professional working proficiency in French and English.

Preferred qualifications

- Experience architecting, building, and operating solutions on AWS following cloud architecture, security, and operational best practices.
- Experience delivering short, time-boxed prototyping or proof-of-concept engagements and enabling customer teams to take solutions to production.
- A passion for exploring the Art of the Possible and building cloud solutions for a diverse and challenging set of customers. Enjoy keeping your technical knowledge up to date.

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

Prototyping Architect, AGS - Tech - Field - EMEA - PACE at Amazon rates 73 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

Prototyping Architect, AGS - Tech - Field - EMEA - PACE 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.
The job was posted on November 11, 2026.
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 agentsAI AutomationClaudeBedrockSageMakerClaude Code

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 workflow you automated with AI tools, end to end.
What are the limits of Claude that you've run into, and how did you work around them?
What's a project where you used Bedrock hands-on?
Walk me through how you've used SageMaker in your day-to-day work.

Adapt your resume

List these exact terms on your resume: AI agents, AI Automation, Claude, Bedrock, and SageMaker. 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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