Global Healthcare AI/ML Solutions Architect

Amazon Web Services (AWS)

Seattle (WA)

On-site

USD 131,000 - 178,000

Full time

13 days ago
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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave

Job summary

Amazon Web Services, Inc. is seeking a Solutions Architect to accelerate the healthcare AI/ML business within the World Wide Public Sector group. You will lead technical engagements, define architectures, and build prototypes for healthcare AI/ML on AWS across a global customer base.

You will be a global technical leader on medical imaging, shaping strategies and sharing expertise with customers, partners, and internal teams, while traveling up to 30% of the time.

Qualifications

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

Responsibilities

  • Own the technical engagement and success of global customer implementations.
  • Define implementation architectures and build prototypes for healthcare AI/ML on AWS.
  • Be a subject matter expert on security as it relates to healthcare AI/ML and educate stakeholders.

Skills

Executive speaking
Healthcare AI/ML
Cloud computing
IT services operations
Travel readiness

Tools

AWS technologies

Job description

Amazon Web Services, Inc. is seeking a Solutions Architect to accelerate the healthcare AI/ML business within the World Wide Public Sector group. You will lead technical engagements, define architectures, and build prototypes for healthcare AI/ML on AWS across a global customer base.

You will be a global technical leader on medical imaging, shaping strategies and sharing expertise with customers, partners, and internal teams, while traveling up to 30% of the time.

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