Job description

Additional Location(s): US-MA-Marlborough; 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: Boston Scientific was recognized by Forbes as one of the Best Workplaces for Engineers in 2026, reflecting a culture where engineers do meaningful work. 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. We are seeking an AI Data Engineer III to join our AI Engineering team and design, build and operate the data foundations that power enterprise AI products. In this hands-on role, you will develop scalable data platforms and pipelines for retrieval-augmented generation (RAG), enterprise search, document intelligence and knowledge-driven applications. The incumbent will own complex data engineering components from design through production, including unstructured content processing, search and vector indexing, large language model (LLM)-based enrichment, graph data and application-facing APIs. You will partner with AI engineers, solution architects, software engineers, data scientists and business stakeholders to deliver secure, observable and cost-effective solutions in a regulated enterprise environment. Work model, sponsorship, relocation: At Boston Scientific, we value collaboration and synergy. This role follows a hybrid work model requiring employees to be in our local office Marlborough, MA or Arden Hills, MN 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: • Design, build and operate scalable AI data platforms supporting RAG, enterprise search, document intelligence, knowledge graphs and knowledge-driven applications. • Develop production-grade pipelines to ingest, parse, normalize, chunk and enrich structured and unstructured enterprise content, including technical and clinical documents. • Optimize document processing using language models and cloud services for classification, entity and relationship extraction, summarization, metadata generation, quality validation and traceability. • Implement and tune retrieval strategies using embeddings, vector databases, keyword search, metadata filtering, hybrid search and reranking to improve relevance, grounding and response quality. • Evaluate and support the migration and optimization of enterprise search indexes and vector data stores, including schema design, indexing strategies, performance testing, data refresh patterns and operational controls. • Build and expand LLM-based solutions on Amazon Web Services (AWS) Bedrock, including prompt and model integration patterns, guardrails, evaluation and production monitoring. • Develop and maintain RAG pipelines that connect governed enterprise content to conversational and agentic experiences. • Design graph data models and pipelines representing products, documents, requirements, concepts and relationships, and integrate graph retrieval into search and AI workflows. • Contribute to end-to-end chatbot delivery, including content ingestion, retrieval, service integration, conversation orchestration, evaluation, telemetry and production support. • Create secure and reliable APIs, services and integration patterns that expose derived data and AI capabilities to applications, agents and enterprise systems. • Implement automated testing, data quality controls and observability for pipelines and services, and troubleshoot complex production issues. • Improve solution performance, reliability, scalability and cost efficiency through measurement, experimentation, capacity planning and engineering automation. • Apply security-by-design, privacy-by-design and responsible AI practices, partnering with cybersecurity, legal, privacy, quality and platform teams to meet enterprise and regulated-environment requirements. • Participate in design and code reviews, define reusable engineering patterns and standards, document technical decisions and mentor junior engineers. • Collaborate with business and technical stakeholders to translate use-case needs into maintainable technical solutions and measurable outcomes. Required qualifications: • Bachelor's degree in computer science, software engineering, data engineering, information systems or a related technical field, or equivalent practical experience. • Minimum of 3 years' experience in data engineering, software engineering or AI/machine learning engineering, including experience delivering production data pipelines or services. • Hands-on experience with Python and SQL and software engineering practices such as version control, automated testing, code review and continuous integration and delivery. • Experience building cloud-based data pipelines and services using AWS and/or Microsoft Azure. • Experience designing or consuming APIs and integrating data services with downstream applications. • Understanding of data modeling, data quality, lineage, logging and observability. • Proven ability to communicate technical concepts clearly, collaborate across disciplines and independently own engineering work through production and ongoing operations. Preferred qualifications: • Experience with AWS Bedrock and related AWS services for generative AI, document processing, enterprise search, orchestration and monitoring. • Experience with enterprise search, RAG and vector databases, including embeddings, chunking, index design, hybrid retrieval, migration, tuning and retrieval evaluation. • Experience with graph databases, knowledge graphs or graph-enhanced retrieval, as well as conversational AI or agentic frameworks such as LangGraph, Semantic Kernel or similar technologies. • Experience evaluating and operationalizing generative AI solutions using relevance, groundedness, answer quality, latency, cost and safety metrics, with familiarity in infrastructure as code, containerization, orchestration, MLOps or LLMOps. • Experience with product lifecycle management platforms such as Windchill, highly regulated industries such as health care, life sciences or medical devices, and mentoring engineers or contributing to reusable technical standards and platform capabilities. Requisition ID: 635649 Minimum Salary: $ 82100 Maximum Salary: $ 156000 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 by providing a 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, neurological and 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.

Requirements

Must-haves

Additional Location(s): US-MA-Marlborough; US-MN-Arden Hills
Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance
Design, build and operate scalable AI data platforms supporting RAG, enterprise search, document intelligence, knowledge graphs and knowledge-driven applications.
Develop production-grade pipelines to ingest, parse, normalize, chunk and enrich structured and unstructured enterprise content, including technical and clinical documents.
Optimize document processing using language models and cloud services for classification, entity and relationship extraction, summarization, metadata generation, quality validation and traceability.
Implement and tune retrieval strategies using embeddings, vector databases, keyword search, metadata filtering, hybrid search and reranking to improve relevance, grounding and response quality.
Evaluate and support the migration and optimization of enterprise search indexes and vector data stores, including schema design, indexing strategies, performance testing, data refresh patterns and operational controls.
Build and expand LLM-based solutions on Amazon Web Services (AWS) Bedrock, including prompt and model integration patterns, guardrails, evaluation and production monitoring.
Develop and maintain RAG pipelines that connect governed enterprise content to conversational and agentic experiences.
Design graph data models and pipelines representing products, documents, requirements, concepts and relationships, and integrate graph retrieval into search and AI workflows.
Contribute to end-to-end chatbot delivery, including content ingestion, retrieval, service integration, conversation orchestration, evaluation, telemetry and production support.
Create secure and reliable APIs, services and integration patterns that expose derived data and AI capabilities to applications, agents and enterprise systems.
Implement automated testing, data quality controls and observability for pipelines and services, and troubleshoot complex production issues.
Improve solution performance, reliability, scalability and cost efficiency through measurement, experimentation, capacity planning and engineering automation.
Apply security-by-design, privacy-by-design and responsible AI practices, partnering with cybersecurity, legal, privacy, quality and platform teams to meet enterprise and regulated-environment requirements.
Participate in design and code reviews, define reusable engineering patterns and standards, document technical decisions and mentor junior engineers.
Collaborate with business and technical stakeholders to translate use-case needs into maintainable technical solutions and measurable outcomes.

Nice-to-haves

Experience with AWS Bedrock and related AWS services for generative AI, document processing, enterprise search, orchestration and monitoring.
Experience with enterprise search, RAG and vector databases, including embeddings, chunking, index design, hybrid retrieval, migration, tuning and retrieval evaluation.
Experience with graph databases, knowledge graphs or graph-enhanced retrieval, as well as conversational AI or agentic frameworks such as LangGraph, Semantic Kernel or similar technologies.
Requisition ID: 635649
Maximum Salary: $ 156000
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.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aillmawsmachine learningpythonsqlazure

Platform: career-feeds
Effort: medium