Senior Health AI/ML Solutions Architect

Amazon Web Services (AWS)

Nashville (TN)

On-site

USD 150,000 - 230,000

Full time

2 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 is seeking a Senior Solutions Architect (SA III) to accelerate our healthcare AI/ML business within the World Wide Public Sector Healthcare & Life Sciences team. You will lead technical strategy and execution across providers, payers, and life sciences customers, guiding AI/ML adoption from experimentation to production.

You will define reference architectures for clinical use cases, mentor engineers, and drive best practices across the organization while traveling up to 30%

Qualifications

  • Executive engagement with senior leaders and stakeholders.
  • Deep experience in Healthcare AI/ML strategy and delivery.
  • Independent technical leadership for long-term solutions.
  • Ability to mentor and scale impact across teams.
  • Willingness to travel around 30%.

Responsibilities

  • Lead complex, multi-stakeholder technical engagements and present decisions to executives.
  • Define AI/ML reference architectures and reusable patterns in clinical contexts.
  • End-to-end design, requirements validation, and trade-off analysis.
  • Influence partners to drive best practices and multiply team impact.
  • Mentor technical professionals across the healthcare and life sciences space.
  • Contribute thought leadership through blogs, architectures, and sessions.

Skills

Executive engagement
Healthcare AI/ML
Technical leadership
Influence and force multiplication
Travel 30%

Tools

Amazon Bedrock
SageMaker
HealthLake
HealthOmics
GenAI

Job description

Amazon Web Services is seeking a Senior Solutions Architect (SA III) to accelerate our healthcare AI/ML business within the World Wide Public Sector Healthcare & Life Sciences team. You will lead technical strategy and execution across providers, payers, and life sciences customers, guiding AI/ML adoption from experimentation to production.

You will define reference architectures for clinical use cases, mentor engineers, and drive best practices across the organization while traveling up to 30%

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