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Solventum · 1 month ago

Principal Cloud AI Architect

US, Pennsylvania, PITTSBURGH

Full-time

Hybrid

Lead/Staff

$207K/yr - $253K/yr

10+ years exp

Solventum is a new healthcare company focused on creating breakthrough solutions to improve lives and support healthcare professionals. The Principal Cloud AI Architect will lead the architecture and strategy for enterprise-scale AI/ML platforms on AWS, implementing secure and scalable AI solutions while ensuring compliance with regulations.

Responsibilities

Leading the architecture and strategy for Solventum’s enterprise-scale AI/ML platforms on AWS, including Amazon SageMaker, Amazon Bedrock, Amazon HealthLake, and associated cloud-native services

Implementing secure, scalable, and compliant AI solutions that support clinical insights, operational intelligence, and generative AI use cases across Solventum’s healthcare product ecosystem

Determining cloud, data, and model governance patterns that ensure responsible AI, auditability, observability, model monitoring, and regulatory alignment (HIPAA, HITRUST, PHI/PII protections)

Supporting product leaders, data scientists, and engineering teams by providing deep technical guidance on cloud architecture, ML Ops, integration patterns, and platform modernization efforts

Qualification

Cloud-native AI/ML systemsAWS servicesML Ops pipelinesRegulated environmentsAI/ML solutions for healthcareStrategic communicationExecutive-level storytellingInfluencing without authorityTranslating complex architecturesCross-functional collaboration

Required

Bachelor's Degree or higher AND 10 years of job-related experience OR High School Diploma/GED AND 14 years of job-related experience

8 years of experience architecting or engineering cloud-native AI/ML systems

5 years of hands-on experience with AWS services (e.g., SageMaker, Bedrock, EC2, EKS, S3, Redshift, Lambda)

5 years of experience designing or supporting ML Ops pipelines, including model deployment, monitoring, and lifecycle governance

3 years of experience working in regulated or data-sensitive environments (healthcare, life sciences, government, or similar)

Ability to travel as needed for business purposes

Preferred

Master's degree in Computer Science, Data Science, Engineering, or related disciplines from an accredited institution

Five (5) years of experience designing AI/ML solutions for healthcare, clinical analytics, or medical data environments

Skills include: strategic communication, executive-level storytelling, cross-functional collaboration, influencing without authority, and the ability to translate complex AI architectures into business value