AI Solutions Delivery Engineer
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.
About The Role
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 opportunity to join a growing team that will enable the re-imagining 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.
Work model: 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.
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.
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.
Pay
Minimum Salary: $78,300
Maximum Salary: $148,800
The anticipated compensation listed above and the value of core and optional employee benefits offered by Boston Scientific 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 Boston Scientific, 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).
Benefits
Employee benefits are available at www.bscbenefitsconnect.com.