Temp Data Ai Jobs in Minnesota (NOW HIRING)

Job Title:   Sr. AI Deployment engineer

Duration: 6+ Months (Possible temp to hire)

Location: Arden Hills, MN 55112

Hybrid Role

Responsibilities:

• Approximately 70% coding and 30% stakeholder engagement
• Serve 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 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.
• 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 required
• 2-4 years of (intense) software engineering experience
• Proven track record as an expert-level individual contributor
• Working 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 Python
• Hands-on experience building with LLMs and AI agents in production systems
• Deep understanding of repository architecture and management
• Familiarity with the developer tools ecosystem VSCode extensions, CLIs, 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 partner across technical, business, and external consulting teams.

Preferred:

• Experience working in supply chain, sourcing, procurement, contract management, invoice management, supplier management, or compliance-related workflows.
• Familiarity with enterprise systems such as Ariba, SAP, ERP platforms, data warehouses, or related procurement/supply chain applications.
• Experience supporting production applications, troubleshooting data issues, and validating user-facing application behavior.
• Exposure to ontology design, object-oriented data modeling, workflow automation, or AI-enabled business applications.
• Experience working in agile, sprint-based, or product-oriented delivery environments.