Senior Specialist Solutions Architect - GenAI

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.

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.

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.