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

AI in this role

Senior Solutions Architect helping healthcare and life sciences enterprises design cloud architectures and adopt AWS AI/ML and generative AI services.

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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

- 10+ years of enterprise IT application work that includes at least 2 years of hands-on software development or DevOps engineering experience
- 2+ years of architecting/operating solutions built on any cloud service provider like Azure, AWS, GCP, OCI, etc. experience
- 8+ years of technology solutions development and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud computing experience
- Bachelor's degree or equivalent
- Experience leading and growing teams of senior technology professionals, ideally in customer facing roles

Preferred qualifications

- Experience architecting, migrating, transforming or modernizing customer requirements to the cloud

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 https://amazon.jobs/content/en/how-we-hire/accommodations 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 https://amazon.jobs/en/benefits.

USA, IL, Chicago - 169,000.00 - 228,600.00 USD annually

How we rate this

Senior Healthcare & Life Sciences Solutions Architect, AI Solutions, HCLS at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Cloud ArchitectureSolutions ArchitectureAI MLEnterprise ArchitectureAWSMachine LearningGenerative AIPython

Questions you could be asked

Tell me about a project where cloud architecture was part of your work. What did you do?
Tell me about a project where solutions architecture was part of your work. What did you do?
Tell me about a project where ai ml was part of your work. What did you do?
Tell me about a project where enterprise architecture was part of your work. What did you do?
Walk me through how you've used AWS in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Cloud Architecture, Solutions Architecture, AI ML, Enterprise Architecture, and AWS. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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