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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Solutions Architect , WWPS - Hcls - Medical... - **Company:** Amazon.com, Inc. - **Location:** Charlotte, NC, United States - **Experience:** Expert - **Salary:** $153,600.0 - $207,800.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Systems Engineering, Hospital Information Systems, Cloud Computing, Databases, Machine Learning, Software Tools, SAS (Software), Software Engineering, Cloud Platform System, IT Architecture, Generative AI, Information Technology, Data Analytics, Serverless Computing - **Published:** June 25, 2026 - **Apply:** https://www.juju.com/job/00000000gb01nw ## About the Role 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - 3+ years of design, implementation, or consulting in applications and infrastructures experience - 10+ years of IT development or implementation/consulting in the software or Internet industries experience Preferred Qualifications - 5+ years of infrastructure architecture, database architecture and networking experience - Knowledge of AWS services, market segments, customer base and industry verticals - Experience working with end user or developer communities - Knowledge of software development tools and methodologies ## Description 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. As a Solutions Architect, you will help customers succeed using AWS technologies - linking technology with measurable business value for healthcare and life sciences organizations. You will bring technical depth and curiosity, with the ability to participate in architecture discussions and clearly communicate the value of the AWS platform to both technical and business audiences. You will help design scalable, flexible, and resilient cloud architectures, assist customers in understanding best practices around cloud-based solutions, and support workload migration efforts. You will have the opportunity to build prototypes, contribute to cloud-native reference architectures, and explore use cases across Artificial Intelligence, Machine Learning, Generative AI, Serverless and Container-based architectures, Analytics, and Security. You will collaborate with account management, professional services, support, product teams, and the AWS partner ecosystem to drive AWS adoption within your assigned customers. 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. About the team Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. 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