AI Platform System Administrator III

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Additional Location(s):US-MA-Marlborough; US-MN-Arden Hills

Diversity
- Innovation
- Caring
- Global Collaboration
- Winning Spirit
- High Performance

At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions.

Boston Scientific was recognized by Forbes as one of the Best Workplaces for Engineers in 2026, reflecting a culture where engineers do meaningful work.

Boston Scientific is seeking an AI Platform System Administrator III to operate, secure and support enterprise AI platform environments across cloud, data and AI services. This role supports multi-tenant platforms used for analytics, AI/ML and generative AI workloads across sandbox, development, test and production environments.

In this role, you will support tenant onboarding, cloud resource provisioning, access management, AI service enablement, automation, monitoring, cost governance and operational support. You will collaborate with AI Platform Engineering, MLOps, Data Engineering, Cloud Platform, Security, Dev Ops, Architecture, Risk, Compliance and business teams to help ensure AI platforms are reliable, scalable, secure, compliant and cost-efficient in a regulated enterprise environment.

Boston Scientific was recognized as a Best Glassdoor Place to Work in 2026, ranking No. 15 on the Top 100 list, reflecting the culture our employees experience every day.

At Boston Scientific, we value collaboration and synergy. This role follows a hybrid work model requiring employees to be in our local office Arden Hills, Minnesota or Marlborough, Massachussets at least three days per week. Boston Scientific will not offer sponsorship or take over sponsorship of an employment visa for this position at this time. Relocation assistance is not available for this position at this time.

• Administer enterprise AI platform environments across AWS, Azure, Snowflake, Alibaba Cloud and other approved platforms.
• Support onboarding of tenants, applications and business teams across sandbox, development, test and production environments.
• Provision and manage cloud resources, including storage, compute, serverless services, databases, repositories, key vaults, roles, service accounts and integrations.
• Enable and support approved AI/ML and generative AI services, including Azure AI Foundry, Azure OpenAI, Amazon Bedrock, Snowflake Cortex, Snowpark and related capabilities.
• Manage identity and access management (IAM), role-based access control (RBAC), groups, service accounts, secrets, authentication, tokens and identity integrations using least‑privilege principles.
• Automate provisioning, access management, reporting, cleanup, validation and operational checks using Terraform, Python, Bash, Power Shell, SQL, Cloud Formation, ARM/Bicep or equivalent tools.
• Support CI/CD pipelines, platform deployments, monitoring, observability, incident triage, Service Now tickets, change requests, escalations and production operations.
• Support platform reliability activities, including releases, change execution, backups, disaster recovery, service‑level agreement monitoring and operational readiness.
• Implement cost tagging, tenant‑level cost reporting, usage monitoring, chargeback and showback capabilities, and Fin Ops optimization practices.
• Maintain standard operating procedures, runbooks, onboarding guides, troubleshooting guides, compliance evidence and other operational documentation.
• Support privacy, security, architecture, risk, compliance, governance and audit review processes.

• Minimum Bachelor's degree or Master's degree in computer science, information technology, engineering or a related technical discipline.
• Minimum 4 years' experience in cloud platform administration, infrastructure operations, Dev Ops, data platform…