Engineering Manager - Generative AI

Additional Location(s): 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:
At Boston Scientific, we’re advancing healthcare through innovation, and we're seeking a manager who can balance delivery and leadership to expand our AI capabilities.

In this role, you’ll guide a team of AI engineers building secure LLM services and the data platforms that power them. You’ll oversee delivery of production-ready solutions including RAG search, feature stores, vector databases, and model governance, all supported by mature MLOps/LLMOps practices.

You’ll work cross-functionally to translate clinical and business needs into compliant AI products that improve patient outcomes and drive operational efficiency. From idea to impact, you’ll shape the future of AI in healthcare, securely, ethically, and at scale.

Work mode:
Hybrid schedule; in-office at the local site at least three days per week. This role is not eligible for fully remote work.

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 organization of Data Engineers, Generative-AI Engineers, and Generative-AI Solution Architects (7+ full-time equivalents), fostering a learning-focused, high-performance culture.
• Support product teams with technical requirements and user-story definition to align engineering deliverables with clinical and regulatory needs.
• Serve as the primary liaison between business stakeholders and engineering, translating commercial and clinical priorities into actionable backlogs; communicate progress, risks, and dependencies.
• Define and execute the technical roadmap for data ingestion, feature stores, vector databases, and LLM-powered services; align outcomes to objectives and key results (OKRs) and budget.
• Oversee architecture and code reviews for RAG pipelines, fine-tuning workflows, prompt operations, and model governance to ensure scalability, security, and cost efficiency.
• Embed observability, drift monitoring, and alignment guardrails across data and model lifecycles; target 99.9% uptime and fast mean time to recovery (MTTR).
• Drive machine learning operations (MLOps) and large language model operations (LLMOps), including continuous integration/continuous delivery (CI/CD), model registries, and evaluation suites; optimize graphics processing unit (GPU) and accelerator utilization and cost.
• Partner with Product, Security, and Compliance to convert business needs into AI solutions and clearly communicate risk-reward trade-offs to executive stakeholders.
• Champion continuous learning via brown-bag sessions, conference support, and individualized career-development plans.
  

Required qualifications:

• Bachelor’s degree in a relevant field; a science, technology, engineering, or mathematics (STEM) discipline is preferred.
• 8+ years of industry engineering experience beyond academic training.
• 4+ 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 (Amazon Web Services, Google Cloud Platform, or Microsoft Azure) and modern data stacks (Apache Spark or Apache Flink; Apache Airflow; Snowflake or BigQuery; Delta Lake).
• Deep understanding of microservices architecture, secure application programming interface (API) design, and regulated data-exchange patterns.
• Strong communication and stakeholder management skills for effective collaboration across global teams and functions.
  

Preferred qualifications:

• M.S. in Computer Science, Data Science, or a related field.
• Proven record delivering generative AI solutions, including LLM fine-tuning, RAG, vector search, guardrails, and evaluation frameworks.
• Certifications such as AWS Certified Data Analytics, GCP Professional Machine Learning 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 publications on enterprise AI best practices.

Requisition ID: 615062

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 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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