Sr. Solutions Architect, AWS Industries HCLS

Amazon is hiring a Sr. Solutions Architect, AWS Industries HCLS in Chicago, United States. It pays $154k-$208k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this solutions architect role is Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting mentions AWS, Fhir and AI agents among its tools and skills.
Level classes it as a senior role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Healthcare Solutions Architect designing cloud-native architectures incorporating clinical AI, generative AI, and interoperability for health systems on AWS.

AWSFhir

ai-agentscloud-architectureclinical-aihealthcare-analyticsgenerative-aiinteroperability

Amazon Web Services (AWS) is seeking a Healthcare Solutions Architect to join our Healthcare & Life Sciences (HCLS) organization within AWS Industries. In this role, you will partner with healthcare providers, health systems, and healthcare ISVs to design cloud architectures that solve critical industry challenges. From clinical AI and interoperability to population health and provider workflows, you will help some of the nation's largest health systems and most innovative digital health companies accelerate their transformation on AWS.

As a Solutions Architect, you will sit at the intersection of technology and healthcare delivery. You will bring technical depth, business aptitude, and the ability to lead architecture discussions with Enterprise Architects, Technical Architects, Cloud Architects, CMIOs, CTOs, Directors, VPs, and CXOs. You will articulate how AWS enables measurable outcomes across the healthcare value chain, from the point of care to back-office operations.

You will craft highly scalable, flexible, and resilient cloud architectures. You will help organizations understand best practices for cloud-native healthcare solutions and guide migration of existing clinical and administrative workloads. You will define and build reference architectures for healthcare-specific use cases including clinical AI, ambient documentation, medical imaging, FHIR-based interoperability, real-time data pipelines, and generative AI applied to provider workflows.

In collaboration with account management, professional services, support, product teams, and the AWS healthcare partner ecosystem, you will formulate and execute strategies to expand AWS adoption across provider organizations and healthcare ISVs.

Key job responsibilities
Key job responsibilities
Ensure success in building, modernizing, and migrating healthcare applications, platforms, and services on AWS for health systems and ISV customers
In partnership with the account management team, formulate and execute a customer engagement strategy tailored to healthcare organizations and their unique regulatory, interoperability, and data challenges
Build prototypes, proofs of concept, and demonstration assets showcasing AWS capabilities in clinical AI, generative AI, ambient listening, medical imaging, FHIR interoperability, and healthcare analytics
Educate customers on the value proposition of AWS for healthcare, and participate in deep architectural discussions to ensure solutions meet compliance, interoperability, and scalability requirements
Stay current on emerging health AI technologies, clinical AI models, and cloud-native patterns. Translate that knowledge into actionable guidance and reference architectures for healthcare customers
Engage with healthcare ISVs and digital health companies to help them build, scale, and go-to-market on AWS. Serve as a technical advisor across the partner ecosystem
Conduct one-to-few and one-to-many training sessions to transfer knowledge to healthcare organizations considering or already using AWS
Author or contribute to AWS customer-facing publications such as whitepapers, reference architectures, and blog posts focused on healthcare use cases
Act as a technical liaison between healthcare customers, service engineering teams, and support

A day in the life
Your morning starts with your AI agents already working. You open Amazon Quick, review overnight insights across your accounts, and jump into a call with a digital health ISV to architect their clinical AI platform for scale on AWS. Mid-morning, you build a generative AI prototype using Kiro that surfaces care gaps from unstructured clinical notes. After lunch, you walk a health system CTO through a live demo you built yesterday, not a slide deck. Between meetings, you're sketching a FHIR-native interoperability pattern and reviewing a medical imaging pipeline design. 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

- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ 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
- Experience working with end user or developer communities
- Experience in IT development or implementation/consulting in the software or Internet industries
- Experience in design, implementation, or consulting in applications and infrastructures

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 - 153,600.00 - 207,800.00 USD annually
USA, MA, Boston - 153,600.00 - 207,800.00 USD annually
USA, NY, New York - 169,000.00 - 228,600.00 USD annually

How we rate this

Sr. Solutions Architect, AWS Industries 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. Read the description and count the AI tools, models and workflows it names.

Key facts

Sr. Solutions Architect, AWS Industries HCLS is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $154k-$208k a year.
The role is based in US, IL, Chicago.
The job was posted on June 23, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsCloud ArchitectureClinical AIHealthcare AnalyticsGenerative AIInteroperabilityAWSFhir

Also common in solutions architect jobs at this level

Python Azure LLM Google Cloud Machine learning SQL

Pay

This job starts at: $154k
Typical solutions architect job: $169k

This posting starts 9% below the typical solutions architect job. See solutions architect jobs

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Tell me about a project where cloud architecture was part of your work. What did you do?
Tell me about a project where clinical ai was part of your work. What did you do?
Tell me about a project where healthcare analytics was part of your work. What did you do?
Tell me about a project where generative ai was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI agents, Cloud Architecture, Clinical AI, Healthcare Analytics, and Generative AI. 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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