Sr Specialist SA GenAI, Specialists Team Germany, Switzerland and CEE
Zürich - Switzerland
Job Summary
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
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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.
- Bachelors 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).
- 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 ( to know more about how we collect use and transfer the personal data of our candidates.
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Required Experience:
Senior IC
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