Senior Healthcare & Life Sciences Solutions Architect, Hcls

Amazon Amazon · Big Tech · NY +1 · Solutions Architect

This role focuses on designing and implementing cloud architectures for Healthcare & Life Sciences customers, with a significant emphasis on leveraging AI/ML and Generative AI. The Solutions Architect will build prototypes, proofs of concept, and reference architectures, and educate customers on AWS capabilities. The role requires staying current on emerging AI/ML technologies and translating that knowledge into actionable guidance.

What you'd actually do

  1. Help shape and deliver our strategy for global HCLS customers and partners, partnering with some of the world's largest healthcare and life sciences companies to design cloud architectures that address their industry-specific business challenges and accelerate the adoption of AWS services.
  2. Craft highly scalable, flexible, and resilient cloud architectures, assist organizations in understanding best practices around advanced cloud-based solutions, and help migrate existing workloads to the cloud.
  3. A central responsibility is building prototypes, proofs of concept, and demonstration assets that showcase AWS capabilities — particularly in AI/ML, Generative AI, and data/analytics — tailored to HCLS use cases.
  4. Staying current on emerging AI/ML technologies and cloud-native patterns is essential, translating that knowledge into actionable guidance, reference architectures, and customer-facing publications such as whitepapers.
  5. The role builds deep relationships with senior technical individuals within customer organizations, enabling them to become cloud advocates.

Skills

Required

  • 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
  • Experience in a technical role within a sales organization

Nice to have

  • Experience in IT development or implementation/consulting in the software or Internet industries

What the JD emphasized

  • design cloud architectures
  • AI/ML
  • Generative AI
  • cloud architectures
  • AI/ML
  • Generative AI
  • cloud-native reference architectures
  • Artificial Intelligence
  • Machine Learning
  • Generative AI
  • AI/ML
  • Generative AI
  • AI/ML technologies

Other signals

  • design cloud architectures
  • build and migrate applications
  • build prototypes and proofs of concept
  • showcase AWS capabilities
  • AI/ML, Generative AI, and data/analytics