Forward Deployment AI Engineer
Boston Scientific1 day ago
Base Salary
$72k - $136k/yr
Responsibilities
- Embed with supply chain and sourcing operators to understand workflows and translate ambiguous problems into technical opportunities.
- Prototype, build, configure, test, deploy, and refine AI-enabled applications, pipelines, ontology objects, validation logic, and technical documentation.
- Design end-to-end workflows connecting ontology objects, data integrations, models, and applications.
- Own assigned use cases from requirements gathering through production deployment and post-deployment support.
- Diagnose data pipeline, ontology, application, and deployment issues and partner with data teams on data hydration problems.
- Translate business insights into structured requirements, architecture decisions, delivery priorities, and technical changes.
- Validate application behavior and data logic with subject matter experts, product owners, and end users.
- Support user acceptance testing, application readiness, production validation, and issue resolution.
- Contribute reusable engineering patterns, logic, and documentation with infrastructure teams.
Requirements
- At least 1 year of engineering experience.
- Software engineering background with proficiency in TypeScript, Node.js, React, Next.js or similar technologies, and Python.
- Hands-on experience building production systems with LLMs and AI agents.
- Strong understanding of repository architecture and management.
- Familiarity with developer tools such as VSCode extensions, command-line interfaces, and third-party integrations.
- Experience translating ambiguous business requirements into technical specifications, application behavior, validation logic, and deployable solutions.
- Ability to document technical decisions, design logic, assumptions, dependencies, and support requirements clearly.
- Demonstrated ability to collaborate across technical, business, and external consulting teams.
- Preferred experience in supply chain, sourcing, procurement, contract management, invoice management, supplier management, or compliance workflows.
- Preferred familiarity with Ariba, SAP, ERP platforms, data warehouses, or related procurement and supply chain applications.
- Preferred experience supporting production applications, troubleshooting data issues, and validating user-facing application behavior.
- Preferred exposure to ontology design, object-oriented data modeling, workflow automation, or AI-enabled business applications.
- Preferred experience in agile, sprint-based, or product-oriented delivery environments.
- Preferred ability to communicate technical tradeoffs clearly to business stakeholders and leadership.
Tech Stack
Categories
Forward Deployed
About Boston Scientific
Boston Scientific designs and manufactures implantable and minimally invasive medical devices used by physicians to diagnose and treat cardiovascular, endoscopic, urological, neurological, and other conditions. It sells these products and related therapies to hospitals and health systems worldwide through a direct sales model and distributors. Founded in 1979 and headquartered in Marlborough, Massachusetts, it is publicly traded on the NYSE (BSX) with offerings spanning stents, catheters, electrophysiology, and neuromodulation systems.