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.

Requirements

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

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

AIMLcloud-native systemsmodel governanceML Opsmodel deploymentmodel monitoringlifecycle governancearchitecturestrategy

leadershiptechnical guidancecollaboration