Forward-Deployed AI Engineer, Supply Chain

Boston Scientific; Arden Hills (MN); On-site; USD 85,000 - 162,000; Full time

Job summary

Boston Scientific is seeking a forward deployed AI Engineer to integrate AI-enabled solutions across global supply chain and sourcing organizations. You will work with product owners, SMEs, and end users to translate workflows into production-ready apps, ontologies, and validation logic.

The role focuses on delivering scalable, compliant AI solutions in a life-science setting, partnering with INFRA and data teams to ensure maintainability and deployment success.

Qualifications

• 2 to 4 years of (intense) software engineering experience.
• Proven track record as an expert-level individual contributor.
• Experience translating ambiguous business requirements into technical specifications, application behavior, validation logic, and deployable solutions.
• Hands-on experience building with LLMs and AI agents in production systems.
• 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.

Responsibilities

• Embed directly with business operators to deeply understand workflows and translate problems into high-value technical opportunities.
• Prototype and iterate solutions using ontologies, AI, and custom engineering, then scale patterns into robust systems.
• Design end-to-end workflows connecting ontology objects, data integrations, models, and applications.
• Deploy AI capabilities in a regulated industry and collaborate with external engineers and AI leaders.
• Diagnose and resolve complex system behaviors across data pipelines, ontologies, and deployment environments.

Skills

Software engineering

TypeScript

Node.js

React

Python

LLMs

AI agents

Data pipelines

Ontology design

Documentation

Tools

VSCode

CLI tools

APIs

Third-party integrations

Job description

Boston Scientific is seeking a forward deployed AI Engineer to integrate AI-enabled solutions across global supply chain and sourcing organizations. You will work with product owners, SMEs, and end users to translate workflows into production-ready apps, ontologies, and validation logic.

The role focuses on delivering scalable, compliant AI solutions in a life-science setting, partnering with INFRA and data teams to ensure maintainability and deployment success.