Additional Location(s): US-MN-Arden Hills; US-MN-Maple Grove

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:
Join Boston Scientific at the forefront of intelligent innovation, where we harness data and generative AI to redefine what's possible for patients, clinicians, and our business. This is a unique opportunity to lead a high-performing engineering team, cultivate a strong culture, and drive measurable impact through innovative and emerging technologies.

Work mode:
At Boston Scientific, we value collaboration and synergy. This role follows a hybrid work model requiring employees to be in our local office at least three days per week.

Visa sponsorship:
Boston Scientific will not offer sponsorship or take over sponsorship of an employment visa for this position at this time.

Your responsibilities will include:

• Lead an engineering org of Data Engineers, Generative-AI Engineers, and GenAI Solution Architects (7+ FTEs), cultivating a culture of psychological safety, continuous learning, and high performance.
• Support product teams with technical requirements gathering and user-story definition, ensuring engineering deliverables align with clinical and regulatory expectations.
• Act as the primary liaison between business stakeholders and engineering teams, translating commercial and clinical priorities into actionable backlogs and communicating progress and risks.
• Define and deliver the technical roadmap for data ingestion, feature stores, vector databases, and LLM-powered services-aligning outcomes with business OKRs and budget.
• Oversee architecture and code reviews for RAG pipelines, fine-tuning workflows, prompt-ops, and model-governance processes to ensure scalability, security, and cost efficiency.
• Embed observability, drift monitoring, and alignment guardrails throughout data and model lifecycles, targeting ≥ 99.9 percent uptime and rapid MTTR.
• Drive MLOps and LLMOps best practices including CI/CD automation, model registries, evaluation suites, and optimize GPU and accelerator utilization and cost governance.
• Partner with Product, Security, and Compliance to translate business needs into AI solutions and communicate risk-reward trade-offs to executive stakeholders.
• Champion continuous learning through brown-bag sessions, conference sponsorships, and individualized career-development plans.

Required qualifications:

• Bachelor's degree in a relevant field is required; a degree in a STEM discipline is preferred.
• 8+ years of professional, industry-based engineering experience beyond academic training.
• 3+ years managing cross-functional AI, data, or software teams, with responsibility for performance and team development.
• Hands-on expertise with at least one major cloud (AWS, GCP, or Azure) and modern data stacks (Spark or Flink, Airflow, Snowflake or BigQuery, Delta Lake).
• Deep understanding of micro-services architecture, secure API design, and regulated data-exchange patterns.
• Strong communication and stakeholder management skills, with the ability to collaborate effectively across diverse teams and functions.

Preferred qualifications:

• M.S. in Computer Science, Data Science, or related field.
• Proven track record of delivering generative AI solutions, including LLM fine-tuning, retrieval-augmented generation (RAG), vector search, and the implementation of guardrails and evaluation frameworks.
• Certifications such as AWS Certified Data Analytics, GCP Professional ML Engineer, or Azure AI Engineer Associate.
• Experience in highly regulated domains such as healthcare, finance, or government cloud.
• Experience contributing to open-source generative AI projects or authoring publications on best practices in enterprise AI.

Requisition ID: 608417

Minimum Salary: $103700

Maximum Salary: $197000

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.

As a leader in medical science for more than 40 years, we are committed to solving the challenges that matter most - united by a deep caring for human life. Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives, create value for our customers, and support our employees and the communities in which we operate. Now more than ever, we have a responsibility to apply those values to everything we do - as a global business and as a global corporate citizen.

So, choosing a career with Boston Scientific (NYSE: BSX) isn't just business, it's personal. And if you're a natural problem-solver with the imagination, determination, and spirit to make a meaningful difference to people worldwide, we encourage you to apply and look forward to connecting with you!

At Boston Scientific, we recognize that nurturing a diverse and inclusive workplace helps us be more innovative and it is important in our work of advancing science for life and improving patient health. That is why we stand for inclusion, equality, and opportunity for all. By embracing the richness of our unique backgrounds and perspectives, we create a better, more rewarding place for our employees to work and reflect the patients, customers, and communities we serve.

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 identify, 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.

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