AI Solutions Delivery Engineer

Additional Location(s):   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 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.   Work model, sponsorship, relocation: 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