Solutions Architect III, HCLS AI​/ML and Data Strategy Specialists, Global Healthcare

Solutions Architect III, HCLS AI/ML and Data Strategy Specialists, Global Healthcare

Job :  | Amazon Web Services, Inc.

Do you help healthcare organizations architect production AI/ML systems that improve patient outcomes at scale? Do you bring a technical vision for the future of healthcare AI— from generative AI and agentic architectures to clinical decision support and health data platforms? Are you a proven technical leader who uses expertise and judgment to determine the right goals and design long‑term solutions?

Would you like to be an influential healthcare AI/ML leader at Amazon Web Services?

• Leading complex, multi‑stakeholder technical engagements and presenting decisions to leaders multiple tiers above your level
• Defining AI/ML reference architectures and reusable patterns for clinical and operational healthcare use cases (agentic AI, clinical decision support, prior authorization, health data platforms, medical imaging, genomics)
• Handling complex business and technology problems—defining and validating requirements, leading end‑to‑end design, and representing benefits and challenges of each approach
• Influencing stakeholders and partners across the organization to drive best practices and force‑multiply team impact
• Mentoring and developing other technical professionals across the HCLS organization
• Producing thought leadership content (blogs, reference architectures, re:
  
  Invent sessions, workshops) that simplifies and scales the team’s impact

You will work with a world‑class sales, business development, and specialist team, engaging with health AI/ML‑focused partners and customers, including some of the leading providers of healthcare AI systems globally.

• 6+ years of design, implementation, or consulting in applications and infrastructures experience
• 5+ years of IT development or implementation/consulting in the software or Internet industries experience
• 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience
• 3+ years of healthcare or life sciences industry experience in a technical capacity

• Experience writing technical articles, speaking at technology conferences, and contributing to open source
• Experience with healthcare data standards (FHIR, HL7, DICOM) and regulatory compliance (HIPAA, FDA, GxP)
• Experience with AWS AI/ML services (Amazon Bedrock, Sage Maker, Health Lake, Health Omics, Amazon Q, Agent Core)
• Ability to travel 30%

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

Los Angeles County applicants:
Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.

These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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 (Use the "Apply for this Job" box below).

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