Solutions Architect Iii, Hcls Ai/ml and Data Strategy Specialists, Global Healthcare

Amazon Amazon · Big Tech · Minneapolis, MN · Solutions Architect

Solutions Architect III for AWS Healthcare & Life Sciences, focusing on architecting production AI/ML systems, including generative AI and agentic architectures, for healthcare organizations. The role involves leading technical engagements, defining reference architectures, influencing stakeholders, and producing thought leadership content, with a strong emphasis on regulated environments.

What you'd actually do

  1. Leading complex, multi-stakeholder technical engagements and presenting decisions to leaders multiple tiers above your level
  2. 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)
  3. Handling complex business and technology problems — defining and validating requirements, leading end-to-end design, and representing benefits and challenges of each approach
  4. Influencing stakeholders and partners across the organization to drive best practices and force-multiply team impact
  5. Producing thought leadership content (blogs, reference architectures, re:Invent sessions, workshops) that simplifies and scales the team's impact

Skills

Required

  • 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
  • Healthcare AI/ML — architecting, building, or deploying production clinical AI systems (GenAI, agentic workflows, NLP, computer vision, or data platforms in healthcare)
  • Technical leadership
  • Influence and force multiplication

Nice to have

  • 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)

What the JD emphasized

  • architecting production AI/ML systems
  • healthcare AI
  • agentic architectures
  • production-grade AI/ML architectures in regulated environments
  • architecting, building, or deploying production clinical AI systems

Other signals

  • architecting production AI/ML systems
  • technical vision for the future of healthcare AI
  • accelerate our healthcare AI/ML business
  • driving AI/ML adoption from experimentation through production
  • defining AI/ML reference architectures and reusable patterns
  • architecting, building, or deploying production clinical AI systems