Availability awaiting confirmation
We are waiting for a fresh update from the source. This page preserves the last received job details; current availability is not confirmed.
Job description
Description:
About position:
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 ***'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 ***'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.
Approximately 70% coding and 30% stakeholder engagement
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.
Persona Summary
They will be a key player in shaping the next generation of sourcing through AI-enabled applications, connected workflows, ontology-driven design, and scalable operating patterns.
This person must be comfortable operating at the intersection of vision and execution. They need to think like a product leader, build like an engineer, challenge like a strategist, and motivate like a change agent. They should be energized by ambiguity, inspired by possibility, and disciplined enough to convert bold ideas into production-ready solutions.
Core Identity
The ideal FDE is someone who sees sourcing not as a series of disconnected categories, tools, and workflows, but as an ecosystem waiting to be orchestrated.
They understand that each application, feature, data object, intake capability, and decision workflow is an instrument in a larger symphony. Their job is to help bring those instruments together in harmony through simplicity, creativity, and feasibility.
They are drawn to big, transformational work. They want to help build a "one pane of glass" experience that connects categories, users, decisions, data, automation, and execution in a way that feels intuitive, scalable, and valuable.
They do not need every answer at the start. In fact, they thrive when the questions are still forming.
What This Person Believes
This person believes that great technology is not created by building isolated features. It is created by deeply understanding how people work, where friction lives, what decisions matter,
#J-18808-Ljbffr
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.