Sr. Solutions Architect, HCLS AI/ML and Data Strategy Specialists, Global Healthcare
Amazon Web Services (AWS) · Atlanta, GA · Yesterday
ConsultingFull-time
About the role
Amazon Web Services is looking for a Senior Solutions Architect (SA III) to accelerate our healthcare AI/ML business as part of the World Wide Public Sector Healthcare & Life Sciences team. As a Specialist Solutions Architect within AWS, you will lead technical strategy and execution across a portfolio of healthcare and life sciences customers — from providers and payers to med-tech and bio-pharma — driving AI/ML adoption from experimentation through production.
Responsibilities
- 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
Qualifications
- 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
- Executive engagement and communication — trusted to present to and influence senior leadership; whiteboard sessions, EBCs, and executive presentations
- Healthcare AI/ML — architecting, building, or deploying production clinical AI systems (GenAI, agentic workflows, NLP, computer vision, or data platforms in healthcare)
- Technical leadership — independently designing long-term solutions, taking the lead on initiatives, and delivering without close supervision
- Influence and force multiplication — driving adoption of best practices, mentoring others, and scaling impact beyond individual contribution
- Ability to travel 30%
Preferred qualifications
- 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, SageMaker, HealthLake, HealthOmics, Amazon Q, AgentCore)
Benefits
- 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
- Parental leave
- Sign-on payments and restricted stock units (RSUs)
- Flexible schedule to support work/life balance
- Mentorship and career growth opportunities
- Inclusive team culture with twelve employee-led affinity groups
Pay
Final compensation will be determined based on factors including experience, qualifications, and location. Annual base salary ranges by location:
- San Francisco, CA: $176,600.00 - $239,000.00
- Washington, DC: $153,600.00 - $207,800.00
- Atlanta, GA: $153,600.00 - $207,800.00
- Boston, MA: $153,600.00 - $207,800.00
- Minneapolis, MN: $153,600.00 - $207,800.00
- New York, NY: $169,000.00 - $228,600.00
- Austin, TX: $153,600.00 - $207,800.00
- Seattle, WA: $153,600.00 - $207,800.00