Sr. Solutions Architect, Aws Industries Hcls

Amazon Amazon · Big Tech · Chicago, IL · Solutions Architect

Solutions Architect for AWS Healthcare & Life Sciences (HCLS) focusing on designing cloud architectures for healthcare providers and ISVs. The role involves creating scalable solutions for clinical AI, generative AI, ambient documentation, medical imaging, and interoperability, and building prototypes and reference architectures to showcase AWS capabilities. The role requires deep technical expertise, business acumen, and the ability to guide customers through complex cloud transformations.

What you'd actually do

  1. Ensure success in building, modernizing, and migrating healthcare applications, platforms, and services on AWS for health systems and ISV customers
  2. 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
  3. 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
  4. 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
  5. 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

Skills

Required

  • 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
  • 3+ years of design, implementation, or consulting in applications and infrastructures experience

Nice to have

  • 5+ years of infrastructure architecture, database architecture and networking experience
  • Experience working with end user or developer communities
  • Experienc

What the JD emphasized

  • clinical AI
  • generative AI
  • ambient documentation
  • medical imaging
  • FHIR-based interoperability
  • real-time data pipelines
  • generative AI applied to provider workflows
  • clinical AI
  • generative AI
  • ambient listening
  • medical imaging
  • FHIR interoperability
  • health AI technologies
  • clinical AI models
  • AI agents

Other signals

  • design 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
  • 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
  • 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
  • You build a generative AI prototype using Kiro that surfaces care gaps from unstructured clinical notes.