Sr. Solutions Architect , WWPS - HCLS - Medical Technology

About the role

At Amazon Web Services (AWS), we are seeking a Healthcare & Life Sciences (HCLS) Solutions Architect to join our HCLS organization within AWS Enterprise engaged accounts. In this role, you will help deliver our strategy for global HCLS customers and partners, working alongside some of the world's largest healthcare and life sciences companies to design cloud architectures that address their industry-specific business challenges and accelerate the adoption of AWS services.

Key job responsibilities

• Work closely with IT and business stakeholders at Medical Device and Life Sciences organizations to understand their unique requirements and challenges.
• Demonstrate a deep understanding of the customer's business model, industry trends, and technical landscape.
• Architect and design AI first, scalable, secure, and cost-effective AWS solutions that address the customer's specific needs.
• Guide the customer through the cloud migration process, ensuring a smooth transition and adoption of AWS services.
• Collaborate with the customer's technical teams to implement, configure, and optimize the AWS infrastructure.
• Build strong technical relationships with customer counterparts to support their cloud adoption journey
• Provide ongoing support and optimization recommendations to maximize the value of the customer's AWS investment.
• Share best practices, conduct training, and enable the customer's team to independently manage the AWS environment.
• Stay up-to-date with the latest AWS services, features, and industry developments to recommend innovative solutions.

A day in the life

Your morning starts with a customer call — whiteboarding a cloud migration strategy for a global pharma company. Mid-morning, you're building a Generative AI prototype that shows how a life sciences customer could accelerate drug discovery. After lunch, you join an architecture review with the account team, then lead a hands-on workshop walking a hospital system through HIPAA-compliant deployments on AWS. Between meetings, you're sketching a reference architecture for a new ML pipeline, trading ideas with fellow SAs in Slack, and jotting down notes for a whitepaper. No two days look the same.