The posting
Description Generative AI is moving from experimentation to production, and the customers making that jump need more than a service overview. They need someone who can advise their senior executives on how AI technology can drive their AI journey, sit with their architects, work through what a model can and cannot do for their specific problem, and design something that survives contact with their security review, their data estate and their regulator. That is this role. As a Specialist Solutions Architect for AI, you will be the technical voice for your customers for AWS AI services in Germany, Switzerland and CEE, helping customers understand what is genuinely possible with AWS, designing the architectures that get them there, and proving it with them in deep dive engagements. You will work with enterprise and digital-native customers.
This role is open for candidates in Munich, Germany, Berlin, Germany, Warsaw, PL and Athens, Greece
You will combine deep technical expertise with the customer-facing judgment to know when a customer needs a whiteboard, when they need a working prototype, and when they need you to tell them their use case is not ready yet.
Key job responsibilities Lead technical deep-dives, architecture reviews, workshops and support proof-of-concept engagements that move customers from AI ambition to a validated, deployable design. Design GenAI/ML architectures on AWS; spanning model selection, retrieval and data pipelines, agentic patterns, evaluation, cost and latency trade-offs, and the security and data-residency requirements that customers bring to every conversation. Help customers build evaluation frameworks that measure model performance against their own success criteria, so decisions about production readiness rest on evidence rather than demo impressions. Own the technical narrative across audiences from implementation-level detail with engineering teams to business-value framing with CTOs, Chief Data Officers and executive sponsors. Enable and up-skill the field: Solutions Architects and Account Managers across the territory, so GenAI/ML expertise scales beyond your own calendar. Capture patterns and friction from customer engagements and drive them back into AWS service teams as concrete product feedback. Produce technical content and thought leadership reference architectures, blog posts, whitepapers and represent AWS at industry events and executive briefings. Travel within the territory as required to support customer engagements.
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.
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 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 You will be a part of AGS DACH & CEE Specialists team. Our teams include specialist sales and specialist solutions architecture, working together to provide customer-obsessed GenAI/ML solutions that help people run their businesses more effectively. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam.
- Experience in design, implementation, or consulting in applications and infrastructures - Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics). - Experience in IT development or implementation/consulting in the software or Internet industries
- Experience in infrastructure architecture, database architecture and networking - Experience working with end user or developer communities
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
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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.
