Systems Administrator III, AI Platform

Additional Locations: N/A

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.

About the Role

Boston Scientific is seeking an AI Platform Administrator / Engineer to operate, secure, and support enterprise AI platform environments across cloud, data, and AI services. This role supports multi-tenant AI platforms used for analytics, AI/ML, and Generative AI workloads across Sandbox, Development, Test, and Production environments.

The AI Platform Administrator will support tenant onboarding, cloud resource provisioning, access management, AI service enablement, automation, monitoring, cost governance, documentation, and operational support. This role will work closely with AI Platform Engineering, MLOps, Data Engineering, Cloud Platform, Security, DevOps, Architecture, Risk, Compliance, and business teams to ensure AI platforms are reliable, scalable, secure, compliant, and cost-efficient in a regulated enterprise environment.

Key Responsibilities:

• Administer 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.
• Provision and manage cloud resources including storage, compute, serverless services, databases, repositories, key vaults, roles, service accounts, and integrations.
• Enable approved AI/ML and Generative AI services such as Azure AI Foundry, Azure OpenAI, Amazon Bedrock, Snowflake Cortex, Snowpark, and related capabilities.
• Manage IAM, 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, PowerShell, SQL, CloudFormation, ARM/Bicep, or equivalent tools.
• Support CI/CD pipelines, platform deployments, monitoring, observability, incident triage, ServiceNow tickets, change requests, escalations, and production support.
• Support platform reliability activities including release support, change execution, backup, disaster recovery, SLA monitoring, and operational readiness.
• Implement cost tagging, tenant-level cost reporting, usage monitoring, chargeback/showback support, and FinOps optimization practices.
• Maintain SOPs, runbooks, onboarding guides, troubleshooting guides, compliance evidence, and operational documentation.
• Support privacy, security, architecture, risk, compliance, governance, and audit review processes.

Required Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical discipline.
• 5+ years of experience in cloud platform administration, infrastructure operations, DevOps, data platform administration, or enterprise platform support.
• Hands-on experience with at least one major platform such as AWS, Azure, Snowflake, GCP, or Alibaba Cloud.
• Strong understanding of IAM, RBAC, networking, monitoring, logging, secrets management, security controls, and cloud operations.
• Experience supporting Sandbox, Development, Test, and Production environments.
• Experience with automation, scripting, Infrastructure-as-Code, CI/CD, and ITSM tools such as Terraform, Python, Bash, PowerShell, SQL, GitLab, GitHub Actions, Azure DevOps, Jenkins, ServiceNow, or equivalent.
• Strong troubleshooting, communication, documentation, and cross-functional collaboration skills.
• Ability to work in regulated, security-sensitive, or highly governed enterprise environments.

Preferred Qualifications:

• Experience supporting AI/ML or Generative AI platforms such as Azure AI Foundry, Azure OpenAI, Amazon Bedrock, Snowflake Cortex, Snowpark, SageMaker, Databricks, or equivalent.
• Experience with multi-tenant platforms, tenant lifecycle management, resource provisioning, cost segregation, usage reporting, and self-service onboarding.
• Familiarity with Kubernetes, Docker, EKS, AKS, serverless platforms, API management, container registries, AI observability, model monitoring, or governance tools such as Fiddler.
• Experience with FinOps, tagging standards, budget monitoring, chargeback/showback, release management, disaster recovery, or site reliability practices.
• Certifications in AWS, Azure, Snowflake, Terraform, Kubernetes, AI/ML, security, or related technologies.
• Background in healthcare, life sciences, medical devices, or large global enterprises.

Requisition ID: 633417

Boston Scientific transforms lives through innovative medical technologies that improve the health of patients around the world. As a global medical technology leader for more than 45 years, we advance science for life by providing a broad range of high-performance solutions that address unmet patient needs and reduce the cost of healthcare. Our portfolio of devices and therapies helps physicians diagnose and treat complex cardiovascular, respiratory, digestive, oncological, neurological and urological diseases and conditions. Learn more at and follow us on  LinkedIn .