Job description

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. Position Summary As a forward deployed AI Engineer, you will serve as an embedded technical expert supporting the development, deployment, and sustainment of AI-enabled solutions across Boston Scientific’s global supply chain and sourcing organizations. This role will partner closely with other forward deployed AI engineers, internal product owners, subject matter experts, and end users to co-develop scalable solutions that deliver meaningful business outcomes for a company that builds life-saving medical devices. The organization will empower its Forward Deployed AI Engineers to address high levels of complexity and own the composition of solutions. The Forward Deployment AI Engineer will be responsible for translating workflow needs into production-ready applications, pipelines, ontology objects, validation logic, and technical documentation. This role will be key in executing against the executive-approved strategic supply chain and sourcing digital roadmap. Purpose of the Role Operate as Boston Scientific’s forward deployment AI engineer to ensure key global supply chain and sourcing use cases move from requirements gathering through production deployment with clear ownership, technical documentation, validation, and ongoing support. Key Responsibilities Solution Development & Technical Execution • Embed directly with business operators to deeply understand their workflows, constraints, incentives, failure modes, and sources of friction translating ambiguous problems into solvable, high-value technical opportunities across application behavior, data logic, technical specifications, and validation criteria • Rapidly prototype and iterate solutions using ontologies, AI, and custom engineering building just enough to validate direction, then scaling the proven patterns into robust systems. • Design end-to-end workflows that connect ontology objects, data integrations, models, and applications into coherent operational solutions that deliver measurable outcomes. • Deploy bleeding-edge AI capabilities in a regulated industry, and build alongside external forward deployed engineers, technical experts in scaling technologies and AI leaders. • Diagnose and resolve complex system behaviors across data pipelines, ontologies, applications, and deployment environments, often in real time with frontline business stakeholders. • Own the technical execution of assigned sourcing and supply chain use cases from requirements gathering through production deployment. • Build, configure, test, and refine application functionality in partnership with product owners, sourcing SMEs, process leads, and end users. • Partner with internal data teams and external technical resources focused on the data platform to identify data gaps, pipeline issues, system constraints, and application defects related to data hydration. • Contribute to reusable patterns, logic, and documentation in lockstep with INFRA teams that can accelerate future sourcing and supply chain use cases. Business Validation & Stakeholder Partnership • Serve as the tactical connective tissue between business and engineering, converting operational insights into structured requirements, architecture decisions, and delivery priorities to then build. • Facilitate clear feedback loops between technical teams and business stakeholders to ensure user needs are accurately reflected in delivered solutions. • Partner with users to confirm applications reflect real-world processes, decision points, and compliance requirements. Help turn prototype feedback into prioritized technical changes, defects, enhancements, or product decisions. • Validate application behavior and data logic with SMEs, end users, and product owners. • Support user acceptance testing, application readiness, production validation, and post-deployment issue resolution. • Champion operational excellence and velocity, ensuring engineering choices support maintainability, ontology coherence, security guardrails, and sustainable adoption—not one-off heroics or brittle prototypes. Required Skills & Qualifications • Working knowledge of, or strong aptitude to learn, market leading data and execution platform capabilities. • 2 to 4 years of (intense) software engineering experience • Proven track record as an expert-level individual contributor • Software engineering background with proficiency in Expertise in TypeScript, Node.js, React, and Next.js or similar packages/languages/frameworks and Python • Hands-on experience building with LLMs and AI agents in production systems • Deep understanding of repository architecture and management • Familiarity with the developer tools ecosystem VSCode extensions, CLIs, and third-party integrations • Experience translating ambiguous business requirements into technical specifications, application behavior, validation logic, and deployable solutions. • Strong problem-solving skills and comfort operating in ambiguous, fast-moving project environments. • Ability to document technical decisions, design logic, assumptions, dependencies, and support requirements clearly. • Demonstrated ability to partner across technical, business, and external consulting teams. Preferred Skills & Experience • Experience working in supply chain, sourcing, procurement, contract management, invoice management, supplier management, or compliance-related workflows. • Familiarity with enterprise systems such as Ariba, SAP, ERP platforms, data warehouses, or related procurement/supply chain applications. • Experience supporting production applications, troubleshooting data issues, and validating user-facing application behavior. • Exposure to ontology design, object-oriented data modeling, workflow automation, or AI-enabled business applications. • Experience working in agile, sprint-based, or product-oriented delivery environments. • Ability to communicate technical tradeoffs clearly to business stakeholders and leadership. Requisition ID: 633399 Minimum Salary: $ 85000 Maximum Salary: $ 161500 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. Among other requirements, Boston Scientific maintains specific prohibited substance test requirements for safety-sensitive positions. This role is deemed safety-sensitive and, as such, candidates will be subject to a prohibited substance test as a requirement. The goal of the prohibited substance testing is to increase workplace safety in compliance with the applicable law.

Requirements

Must-haves

Additional Location(s): N/A
Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance
Purpose of the Role
Solution Development & Technical Execution
Rapidly prototype and iterate solutions using ontologies, AI, and custom engineering building just enough to validate direction, then scaling the proven patterns into robust systems.
Design end-to-end workflows that connect ontology objects, data integrations, models, and applications into coherent operational solutions that deliver measurable outcomes.
Deploy bleeding-edge AI capabilities in a regulated industry, and build alongside external forward deployed engineers, technical experts in scaling technologies and AI leaders.
Diagnose and resolve complex system behaviors across data pipelines, ontologies, applications, and deployment environments, often in real time with frontline business stakeholders.
Own the technical execution of assigned sourcing and supply chain use cases from requirements gathering through production deployment.
Build, configure, test, and refine application functionality in partnership with product owners, sourcing SMEs, process leads, and end users.
Partner with internal data teams and external technical resources focused on the data platform to identify data gaps, pipeline issues, system constraints, and application defects related to data hydration.
Contribute to reusable patterns, logic, and documentation in lockstep with INFRA teams that can accelerate future sourcing and supply chain use cases.
Business Validation & Stakeholder Partnership
Serve as the tactical connective tissue between business and engineering, converting operational insights into structured requirements, architecture decisions, and delivery priorities to then build.
Facilitate clear feedback loops between technical teams and business stakeholders to ensure user needs are accurately reflected in delivered solutions.
Validate application behavior and data logic with SMEs, end users, and product owners.
Support user acceptance testing, application readiness, production validation, and post-deployment issue resolution.
Champion operational excellence and velocity, ensuring engineering choices support maintainability, ontology coherence, security guardrails, and sustainable adoption—not one-off heroics or brittle prototypes.
Required Skills & Qualifications
Working knowledge of, or strong aptitude to learn, market leading data and execution platform capabilities.
2 to 4 years of (intense) software engineering experience
Proven track record as an expert-level individual contributor

Nice-to-haves

Preferred Skills & Experience
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).

Application prep

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

Keywords to mirror

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