Amazon Web Services (AWS) is seeking an experienced Specialist Solutions Architect for AI and Analytics to join our team in Zurich. In this role, you will serve as a trusted technical advisor to AWS customers with a focus on Switzerland, helping them design and implement cutting-edge AI/ML solutions on AWS.

You will combine deep technical expertise with strong customer-facing skills to drive adoption of AWS AI services. Working alongside sales teams, partners, and service teams, you will define technical strategies, support proof-of-value engagements, and enable customers to accelerate their AI and data-driven transformation journeys.

Role is based out of Zurich, Switzerland; scope of the role includes cross-customer segments with a focus on Switzerland, potentially engaging in regions across the Germany, Switzerland and CEE area.

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.

Key job responsibilities
Serve as the primary technical resource for AI services in Switzerland, engaging with enterprise, digital-native and public sector customers.

Design and architect AI/ML and solutions leveraging services such as Amazon Bedrock, Amazon SageMaker, Amazon Quick.

Lead technical deep-dives, workshops, and proof-of-concept (PoC) engagements to demonstrate the value of AWS AI services.

Collaborate with account teams, partner solutions architects, and professional services to develop and execute customer adoption strategies.

Enable and up-skill field teams (Solutions Architects, Account Managers, and Partners) on AI/ML best practices.

Capture customer feedback and drive service improvements by working closely with AWS service teams and product managers.

Develop technical content and thought leadership including reference architectures, white papers, blog posts.

Represent AWS at industry events, conferences, and executive briefings across the territory.

Travel within the assigned 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
Meet the hottest companies ready to use data and GenAI to drive better business outcomes. Become the trusted advisor of their leaders, decision makers and key individuals. Bridge the gap between business goals and technology. Inspire on art of the possible use cases for GenAI.
Represent your region vis-à-vis AWS product teams and influence our GenAI roadmap to best support your customers.
Work with the wider AWS teams (solution architects, data scientists, data specialists, account teams,...) to deliver results for your customers, driving the largest and most complex opportunities to closure.

Basic qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field (or equivalent practical experience).
• Deep experience in a customer-facing technical role such as Solutions Architect, Data Engineer, ML Engineer, or Technical Consultant.
• Deep hands-on experience with AI/ML technologies (e.g., deep learning frameworks, model training and deployment, MLOps, Agent frameworks and platforms)
• Proven ability to design and implement cloud-based architectures for large-scale data and AI workloads.
• Strong communication and presentation skills with the ability to convey complex technical concepts to both technical and business audiences.
• Fluent English (written and spoken).

Preferred qualifications

• Experience with AWS AI/ML services (Amazon Bedrock, Amazon SageMaker, Amazon Quick, KIRO).
• AWS Certifications (e.g., AWS Certified Solutions Architect – Professional, AWS Certified Machine Learning – Specialty, AWS Certified Data Analytics – Specialty).
• Experience working with enterprise customers in regulated industries (e.g., financial services, healthcare, manufacturing).
• Track record of developing and delivering technical enablement content at scale.
• Prior experience in a pre-sales or specialist role within a cloud or technology vendor.

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.

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.