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Forward Deployment AI Engineer

Job in Saint Paul, Ramsey County, Minnesota, 55112, USA
Listing for: Boston Scientific
Full Time position
Listed on 2026-08-28
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Data Engineering
Job Description & How to Apply Below

Forward Deployment AI Engineer

Work mode:
Hybrid Onsite Location(s):
Arden Hills, MN, US, 55112 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,…

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