Principal Solutions Architect, HCLS
AI in this role
Lead global healthcare and life sciences technology strategy and architect complex cloud solutions involving AI and machine learning at AWS.
As a Principal Solutions Architect, you will operate as both a technical authority and a strategic influencer — connecting technology vision with measurable, long-term business value for healthcare and life sciences organizations. You will bring exceptional technical depth, executive-level business acumen, and the ability to shape technology strategy at the highest levels, engaging C-suite leaders, business decision makers, and senior technical executives to influence the direction of enterprise-scale cloud transformations.
You will architect solutions to the most significantly complex challenges in HCLS — decomposing intricate, multi-system problems into elegant, scalable designs that become reference architectures for the broader SA community. You will drive the creation of new architectural patterns and industry-specific methodologies (spanning Artificial Intelligence, Machine Learning, Generative AI, data platforms, and regulated workloads), and you will influence the product roadmaps of AWS service teams by translating deep customer insight into clear engineering requirements. In close partnership with account management, professional services, support, product teams, and the AWS partner ecosystem, you will own the strategy for building broad, lasting AWS adoption within your most strategic HCLS enterprise customers.
Key job responsibilities
This role drives the success of AWS's most complex and strategic Healthcare and Life Sciences engagements. As a Principal Solutions Architect, you will own end-to-end solution programs — from strategy through architecture through customer realization — delivering measurable, long-term business impact. You will operate with complete independence, applying high judgment to determine where to focus your efforts for the greatest organizational and customer impact.
A core responsibility is defining the technical and strategic direction for large-scale HCLS transformations, including AI/ML and Generative AI programs, data modernization, and regulated cloud migrations. You will develop reusable reference architectures, methodologies, and thought leadership content — whitepapers, frameworks, and prescriptive guidance — that scale your impact across the SA community and the broader HCLS market.
You will serve as a strategic advisor to your customers' senior leadership, building trust at the executive level and influencing their long-term technology and business strategy. You will identify emerging customer needs before they are fully articulated, ask the questions customers haven't asked themselves, and lead the consensus-building required to align large, complex organizations around a path forward.
This role is a significant force multiplier within the SA organization. You will develop and lead programs to scale best practices across teams, perform Principal SA Technical Promotion Assessments, shepherd the tech promo process, and actively mentor and grow the HCLS SA community. You will contribute to your organization's strategic planning, identifying capability gaps, influencing hiring decisions, and partnering with leaders to shape the long-term direction of the team.
A day in the life
Your morning opens with a call with a global health system's CTO — you're advising on a multi-year cloud transformation roadmap and pushing back on a proposed architecture that will create long-term constraints. Mid-morning, you're leading an internal working group to define a new HCLS Generative AI reference architecture that three account teams will deliver to separate customers next quarter. After lunch, you join a product team's product review, translating patterns you've observed across a dozen customer engagements into a concise set of requirements that could shape the next major service release. You spend the late afternoon mentoring two SAs on an upcoming promotion assessment — walking through how to apply the "Moving to Principal" criteria rigorously and fairly. Between meetings, you're adding to a whitepaper that will be published at re:Invent, and fielding a Slack thread where SAs across three segments are debating a regulatory architecture question only you've navigated at this scale. No two days look the same.
Basic qualifications
- 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- Bachelor's degree in computer science, engineering, mathematics or equivalent
- Experience developing technology solutions and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud computing
- Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications
Preferred qualifications
- Knowledge of distributed systems design and implementation or equivalent
- Knowledge of large scale automation and workflow management or equivalent
- Knowledge of database design and implementation or equivalent
- Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers
- 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, MA, Boston - 182,800.00 - 247,300.00 USD annually
USA, NY, New York - 201,000.00 - 272,000.00 USD annually
How we rate this
Principal Solutions Architect, 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.
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.
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- Tell me about a project where solutions architecture 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?
- Tell me about a project where strategy was part of your work. What did you do?
- Tell me about a project where healthcare it was part of your work. What did you do?
- Tell me about a project where stakeholder management was part of your work. What did you do?
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- List these exact terms on your resume: Solutions Architecture, Enterprise Architecture, Strategy, Healthcare It, and Stakeholder Management. 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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