AI Platform System Administrator III

Posted 13 Days Ago
Be an Early Applicant
Arden Hills, MN, USA
In-Office
75K-143K Annually
Mid level
Healthtech
The Role
Administer and support enterprise AI platform environments across multiple cloud and data platforms. Responsibilities include tenant onboarding, cloud resource provisioning, IAM and RBAC, AI service enablement, infrastructure automation, CI/CD, monitoring, incident response, reliability, disaster recovery, cost governance, documentation, and compliance support in a regulated enterprise environment.
Summary Generated by Built In

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.       

About the role:

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, DevOps, 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.

 

Work model, sponsorship, relocation:

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.

 


Your responsibilities will include:

  • 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.

 

 

Required 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.

 

 

Preferred qualifications:

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


Requisition ID: 633651

Minimum Salary: $75100 

Maximum Salary: $142600 


The anticipated compensation listed above and the value of core and optional employee benefits offered by Boston Scientific (BSC) – see www.bscbenefitsconnect.com—will vary based on actual location of the position and other pertinent factors considered in determining actual compensation for the role. Compensation will be commensurate with demonstrable level of experience and training, pertinent education including licensure and certifications, among other relevant business or organizational needs. At BSC, it is not typical for an individual to be hired near the bottom or top of the anticipated salary range listed above.


Compensation for non-exempt (hourly), non-sales roles may also include variable compensation from time to time (e.g., any overtime and shift differential) and annual bonus target (subject to plan eligibility and other requirements).


Compensation for exempt, non-sales roles may also include variable compensation, i.e., annual bonus target and long-term incentives (subject to plan eligibility and other requirements).


For MA positions: It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.


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 www.bostonscientific.com and follow us on LinkedIn.


Boston Scientific Corporation has been and will continue to be an equal opportunity employer. To ensure full implementation of its equal employment policy, the Company will continue to take steps to assure that recruitment, hiring, assignment, promotion, compensation, and all other personnel decisions are made and administered without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, gender expression, veteran status, age, mental or physical disability, genetic information or any other protected class.


Please be advised that certain US based positions, including without limitation field sales and service positions that call on hospitals and/or health care centers, require acceptable proof of COVID-19 vaccination status.  Candidates will be notified during the interview and selection process if the role(s) for which they have applied require proof of vaccination as a condition of employment.  Boston Scientific continues to evaluate its policies and protocols regarding the COVID-19 vaccine and will comply with all applicable state and federal law and healthcare credentialing requirements.   As employees of the Company, you will be expected to meet the ongoing requirements for your roles, including any new requirements, should the Company’s policies or protocols change with regard to COVID-19 vaccination.

Skills Required

  • Bachelor’s or master’s degree in computer science, information technology, engineering, or a related technical discipline
  • At least 4 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 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
  • Experience supporting sandbox, development, test, and production environments
  • Experience with automation, scripting, infrastructure as code, CI/CD, and IT service management tools
  • Ability to operate in regulated, security-sensitive, or highly governed enterprise environments
  • Experience supporting AI/ML or generative AI platforms, such as Azure AI Foundry, Azure OpenAI, Amazon Bedrock, Snowflake Cortex, Snowpark, Amazon SageMaker, or Databricks
  • Experience supporting multi-tenant platforms, including tenant lifecycle management, resource provisioning, cost segregation, usage reporting, and self-service onboarding
  • Familiarity with Kubernetes, Docker, Amazon EKS, Azure Kubernetes Service, serverless platforms, API management, container registries, AI observability, model monitoring, or governance tools
  • Experience with FinOps, tagging standards, budget monitoring, chargeback, showback, release management, disaster recovery, or site reliability practices
  • Relevant certifications in AWS, Azure, Snowflake, Terraform, Kubernetes, AI/ML, security, or related technologies
  • Experience in health care, life sciences, medical devices, or a large global enterprise

Boston Scientific Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Boston Scientific and has not been reviewed or approved by Boston Scientific.

  • Healthcare Strength Healthcare coverage is positioned as comprehensive, spanning medical, dental, vision, life, and disability insurance alongside mental health resources. Family planning support and broader care navigation offerings further strengthen the health-related value of the package.
  • Retirement Support Retirement benefits stand out through a 401(k) match described as best-in-class and supported by profit sharing and an employee stock purchase plan. High participation in retirement programs is also highlighted as part of the overall financial benefits footprint.
  • Leave & Time Off Breadth Time off is described as generous, with reports of 20+ vacation days and up to four weeks in some roles, plus paid holidays and sick leave. Longer-term options such as extended unpaid family leave and a personal enrichment sabbatical expand flexibility beyond standard PTO.

Boston Scientific Insights

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The Company
HQ: Marlborough, MA
52,374 Employees
Year Founded: 1979

What We Do

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 40 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 health care. Our portfolio of devices and therapies helps physicians diagnose and treat complex cardiovascular, respiratory, digestive, oncological, neurological and urological diseases and conditions. For more information, visit www.bostonscientific.com and connect with us on X, Instagram, and Facebook. At Boston Scientific, you will find purpose, a place to grow and opportunities to cultivate your passions. To search and apply for open positions, visit https://bostonscientific.eightfold.ai/careers. You may also review our social media guidelines at http://www.bostonscientific.com/social.

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