AI Software Engineer

Job Title: Sr. AI Deployment engineerDuration: 6+ Months (Possible temp to hire)Location: Arden Hills, MN 55112Hybrid RoleResponsibilities:Approximately 70% coding and 30% stakeholder engagementServe as an embedded technical expert supporting the development, deployment, and sustainment of AI-enabled solutions across 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.Responsible for translating workflow needs into production-ready applications, pipelines, ontology objects, validation logic, and technical documentation.Ecosystem Design: They can connect applications, workflows, data, AI, user roles, and decision points into a logical operating model.Technical Execution: They can build, configure, test, troubleshoot, and refine solutions.This role will be key in executing against the executive-approved strategic supply chain and sourcing digital roadmap.Solution Development & Technical ExecutionEmbed 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 criteriaRapidly 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.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.Education/Experience:Software Engineering degree required2-4 years of (intense) software engineering experienceProven track record as an expert-level individual contributorWorking knowledge of, or strong aptitude to learn, market leading data and execution platform capabilities.Software engineering background with proficiency in Expertise in TypeScript, Node.js, React, and Next.js or similar packages/languages/frameworks and PythonHands-on experience building with LLMs and AI agents in production systemsDeep understanding of repository architecture and managementFamiliarity with the developer tools ecosystem VSCode extensions, CLIs, and third-party integrationsExperience translating ambiguous business requirements into technical specifications, application behavior, validation logic, and deployable solutions.