AI Solutions Delivery Engineer

Boston Scientific Gruppe

Arden Hills (MN)

Hybrid

USD 78,000 - 149,000

Full time

6 hours ago
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Job summary

Boston Scientific AIS R&D is seeking an AI Solutions Delivery engineer to join the AI Transformation core team and scale the AI-assisted engineering platform. You will configure tools, build integrations and enable pilot workflows, working with the AI Solutions Architect on design standards and with the AI Solutions Lead on turning validated pilots into production-ready capabilities.

The role is hands-on and focuses on reliability, access management and issue resolution as production workflows

Qualifications

  • Bachelor's degree in computer science, engineering or a related technical field.
  • Minimum of 3 years' experience building, deploying or operating production software or platform services.
  • Experience integrating enterprise systems and tools (e.g., PLM/Windchill, Jira, GitLab, CI/CD platforms, Snowflake) into a shared platform or service.
  • Experience with cloud infrastructure (AWS, Azure or similar), including deployment, monitoring and access management.
  • Experience troubleshooting production issues, including monitoring, alerting and incident response.

Responsibilities

  • Implement and sustain the AI-assisted engineering platform, including tool configuration and workflow enablement during pilots.
  • Build and maintain integrations between the AI platform and enterprise engineering systems, including Windchill, Jira, GitLab, AWS, Azure and other tools.
  • Manage solution reliability, monitoring and issue resolution as workflows move from pilot to production.
  • Manage user access, permissions and onboarding for platform users across AIS R&D functions.
  • Coordinate with Enterprise AI and IT teams on platform alignment, tool governance and enterprise non-negotiables.
  • Partner with the AI Solutions Architect to implement architecture direction, design standards and integration patterns.
  • Partner with the AI Solutions Lead to operationalize validated pilot designs into supported, production-ready capabilities.
  • Operationalize reliability, access management and issue resolution practices at scale as the number of in-scope workflows grows.
  • Contribute to a culture of ownership, experimentation and operational excellence.

Skills

AI tooling experience
DevOps practices
CI/CD pipelines
Cloud infrastructure
Tool integrations

Education

Bachelor's degree in computer science, engineering or a related technical field

Tools

Windchill
Jira
GitLab
CI/CD platforms
Snowflake
AWS
Azure

Job description

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

Boston Scientific's Active Implantable Systems (AIS) R&D organization is seeking an AI Solutions Delivery engineer to join our AI Transformation core team and implement, integrate and sustain the AI-assisted engineering platform. This is an exciting opportunitty to join a growing team that will enable the re-imaging of how work gets done across our R&D engineering functions. You will configure tools, build integrations and enable pilot workflows, working closely with the AI Solutions Architect on design standards and with the AI Solutions Lead on translating validated pilot designs into running, supported capabilities.

This is a hands-on delivery role responsible for the day-to-day reliability of the platform as it scales from pilot to production. You will manage solution reliability, observablity, performance evaluation, user access and issue resolution across the R&D engineering ecosystem. The work will require you to coordinate closely with Enterprise AI and IT teams on tool integrations across our engineering ecosystem consisiting of a mix of SaaS and custom tool solutions.

At Boston Scientific, we value collaboration and synergy. This role follows an onsite work model requiring employees to be in our local office 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 :
  • Implement and sustain the AI-assisted engineering platform, including tool configuration and workflow enablement during pilots.
  • Build and maintain integrations between the AI platform and enterprise engineering systems, including Windchill, Jira, GitLab, AWS, Azure and other tools.
  • Manage solution reliability, monitoring and issue resolution as workflows move from pilot to production.
  • Manage user access, permissions and onboarding for platform users across AIS R&D functions.
  • Coordinate with Enterprise AI and IT teams on platform alignment, tool governance and enterprise non-negotiables.
  • Partner with the AI Solutions Architect to implement architecture direction, design standards and integration patterns.
  • Partner with the AI Solutions Lead to operationalize validated pilot designs into supported, production-ready capabilities.
  • Operationalize reliability, access management and issue resolution practices at scale as the number of in-scope workflows grows.
  • Contribute to a culture of ownership, experimentation and operational excellence.
Qualifications:
Required qualifications:
  • Bachelor's degree in computer science, engineering or a related technical field.
  • Minimum of 3 years' experience building, deploying or operating production software or platform services.
  • Experience integrating enterprise systems and tools (e.g., PLM/Windchill, Jira, GitLab, CI/CD platforms, Snowflake) into a shared platform or service.
  • Experience with cloud infrastructure (AWS, Azure or similar), including deployment, monitoring and access management.
  • Experience troubleshooting production issues, including monitoring, alerting and incident response.
  • Ability to operate with a high degree of autonomy in a fast-moving, evolving technical environment.
  • Experience integrating or supporting AI/LLM tools, copilots or agentic workflows in production.
  • Experience with DevOps practices, infrastructure as code and CI/CD pipeline design.
  • Demonstrated proficiency using agentic AI tools and platforms to deliver solutions in area of expertise.
Preferred qualifications:
  • Experience working in a regulated, enterprise-scale environment with security, compliance and quality requirements.
  • Experience supporting PLM systems (e.g., Windchill) or other engineering tool ecosystems in a medical device or life sciences environment.
  • Familiarity with vector databases, model serving or LLM gateway/routing patterns.
  • Scripting and automation experience to reduce manual operational overhead.

Requisition ID:633246

Minimum Salary:$78300

Maximum Salary: $148800

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 byprovidinga 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,neurologicaland 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.

Among other requirements, Boston Scientific maintains specificprohibited substancetest requirements for safety-sensitive positions. This role is deemed safety-sensitive and, as such, candidates will be subject to a prohibited substance test as a requirement. The goal of the prohibited substance testing is to increase workplace safety in compliance with the applicable law.


Nearest Major Market: Minneapolis
Job Segment: R&D Engineer, Testing, R&D, Medical Device Engineer, PLM, Engineering, Technology, Research, Management

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