Senior Healthcare & Life Sciences Solutions Architect, AI Solutions, HCLS

Description

At Amazon Web Services (AWS), we are seeking a Healthcare & Life Sciences (HCLS) Solutions Architect to join our HCLS organization within AWS Industries. In this role, you will help shape and deliver our strategy for global HCLS customers and partners, partnering with 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 be at the forefront of helping customers succeed using AWS technologies - linking technology with measurable business value for healthcare and life sciences organizations. You will have technical depth, business aptitude, and the ability to lead in-depth technology discussions, articulating the value of the AWS platform to Enterprise Architects, Technical Architects, Cloud Architects, Directors, VPs, and CXOs.

You will craft highly scalable, flexible, and resilient cloud architectures, assist organizations in understanding best practices around advanced cloud-based solutions, and help migrate existing workloads to the cloud. You will have the opportunity to define or invent cloud-native reference architectures for a variety of use cases (e.g., Artificial Intelligence, Machine Learning, Generative AI, Serverless and Container-based architectures, Analytics and Big Data, DevOps, and Security). In collaboration with account management, professional services, support, product teams, and the AWS partner ecosystem, you will formulate and execute strategies to build mind-share and broad use of AWS within enterprise customers.

Key job responsibilities

This role ensures success in building and migrating applications, software, and services on the AWS platform for Healthcare and Life Sciences customers. In partnership with account management, the Solutions Architect formulates and executes customer engagement strategies that drive meaningful cloud adoption outcomes.

A central responsibility is building prototypes, proofs of concept, and demonstration assets that showcase AWS capabilities - particularly in AI/ML, Generative AI, and data analytics - tailored to HCLS use cases. This extends to educating customers on the AWS value proposition, participating in deep architectural discussions, and conducting enablement sessions that accelerate their path to production.

Staying current on emerging AI/ML technologies and cloud-native patterns is essential, translating that knowledge into actionable guidance, reference architectures, and customer-facing publications such as whitepapers. The role builds deep relationships with senior technical individuals within customer organizations, enabling them to become cloud advocates. It also serves as a technical liaison between customers, service engineering teams, and support, while capturing and sharing best-practice knowledge across the AWS Solutions Architect community.

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

About the team

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the 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.

Inclusive Team Culture

Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & 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.

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 in the cloud.

Basic Qualifications

• 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience

• Experience in a technical role within a sales organization

• 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML (Artificial Intelligence/Machine Learning), GenAI (Generative AI), Analytics, Database, and/or Storage experience

Preferred Qualifications

• Experience in IT development or implementation/consulting in the software or Internet industries

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at .

USA, IL, Chicago - 153,600.00 - 207,800.00 USD annually

USA, NY, New York - 169,000.00 - 228,600.00 USD annually