AI Platform Admin III — Cloud & AI Ops Leader

Boston Scientific

Marlborough (MA)

Hybrid

USD 75,000 - 143,000

Full time

14 days+

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Job summary

Boston Scientific seeks an AI Platform System Administrator III to operate, secure and support enterprise AI platform environments across cloud, data and AI services. The role covers multi-tenant platforms used for analytics, AI/ML and generative AI workloads from sandbox to production.

You will onboard tenants, provision cloud resources, manage identities, automate provisioning and support CI/CD pipelines while ensuring compliance in a regulated enterprise environment.

Qualifications

  • 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, DevOps, data platform administration or enterprise platform support.
  • Hands-on experience with at least one major cloud or data platform, such as AWS, Azure, Snowflake, Google Cloud Platform or Alibaba Cloud.
  • Strong understanding of IAM, RBAC, networking, monitoring, logging, secrets management, security controls and cloud operations.
  • Proven experience supporting sandbox, development, test and production environments.
  • Demonstrated experience with automation, scripting, infrastructure as code, CI/CD and IT service management tools, such as Terraform, Python, Bash, PowerShell, SQL, GitLab, GitHub Actions, Azure DevOps, Jenkins and ServiceNow.
  • Ability to operate effectively in regulated, security-sensitive or highly governed enterprise environments.

Responsibilities

  • 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, 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 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 FinOps 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.

Skills

Cloud platforms
IAM & RBAC
Automation scripts
CI/CD
Security controls
Regulated environments

Education

Bachelor's / Master's degree in CS/IT/Engineering

Tools

Terraform
Python
Bash
PowerShell
GitHub Actions
Azure DevOps
ServiceNow

Job description

Boston Scientific seeks an AI Platform System Administrator III to operate, secure and support enterprise AI platform environments across cloud, data and AI services. The role covers multi-tenant platforms used for analytics, AI/ML and generative AI workloads from sandbox to production.

You will onboard tenants, provision cloud resources, manage identities, automate provisioning and support CI/CD pipelines while ensuring compliance in a regulated enterprise environment.

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