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Stellantis
AI Application Engineer
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Based on Michigan data
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What they do
An Artificial Intelligence Engineer develops, tests, and deploys artificial intelligence models. May work closely with data software engineers and data professionals to train and implement AI models into existing systems or develop new applications.
$118,850 / year median in Michigan
Job Description
We're building an AI-enabled supply chain that senses, predicts, prescribes, and acts. As the AI Application Engineer, you'll design and build production-grade user interfaces and application experiences that make AI insights, recommendations, workflows, and agent actions usable by supply chain teams. This role combines strong UX/product design judgment with React front-end development•using AI-assisted tools like GitHub Copilot to translate designs and business requirements into secure, reliable, and intuitive applications quickly.
Responsibilities include but not limited to:
Design and build production-grade user interfaces for AI-enabled supply chain applications using React, TypeScript, and AI-assisted development tools (GitHub Copilot)Own the full path from UX concept to shipped interface•wireframing, interaction design, and implementationDevelop dashboards, workflow screens, exception management views, approval interfaces, and human-in-the-loop experiences that are genuinely intuitive for non-technical business usersIntegrate front-end applications with APIs, agents, models, data services, and enterprise systemsTranslate ambiguous business requirements and AI outputs into clear, well-designed application experiences•making judgment calls on UX where requirements are incompleteBuild application features that support recommendations, alerts, explanations, user feedback, approvals, and auditabilityEnsure applications meet enterprise standards for security, accessibility, performance, reliability, and observabilityPartner with AI engineers, agentic AI developers, product owners, data teams, and business stakeholders to deliver usable AI-enabled solutions
Responsibilities include but not limited to:
Design and build production-grade user interfaces for AI-enabled supply chain applications using React, TypeScript, and AI-assisted development tools (GitHub Copilot)Own the full path from UX concept to shipped interface•wireframing, interaction design, and implementationDevelop dashboards, workflow screens, exception management views, approval interfaces, and human-in-the-loop experiences that are genuinely intuitive for non-technical business usersIntegrate front-end applications with APIs, agents, models, data services, and enterprise systemsTranslate ambiguous business requirements and AI outputs into clear, well-designed application experiences•making judgment calls on UX where requirements are incompleteBuild application features that support recommendations, alerts, explanations, user feedback, approvals, and auditabilityEnsure applications meet enterprise standards for security, accessibility, performance, reliability, and observabilityPartner with AI engineers, agentic AI developers, product owners, data teams, and business stakeholders to deliver usable AI-enabled solutionsAt Stellantis, we assess candidates based on qualifications, merit, and business needs. We welcome applications from all people without regard to sex, age, ethnicity, nationality, religion, sexual orientation, disability, or any characteristic protected by law. We believe that diverse teams reflect our identity as a global company, enabling us to better address the evolving needs of our customers and care for our future. Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled.
Responsibilities include but not limited to:
Design and build production-grade user interfaces for AI-enabled supply chain applications using React, TypeScript, and AI-assisted development tools (GitHub Copilot)Own the full path from UX concept to shipped interface•wireframing, interaction design, and implementationDevelop dashboards, workflow screens, exception management views, approval interfaces, and human-in-the-loop experiences that are genuinely intuitive for non-technical business usersIntegrate front-end applications with APIs, agents, models, data services, and enterprise systemsTranslate ambiguous business requirements and AI outputs into clear, well-designed application experiences•making judgment calls on UX where requirements are incompleteBuild application features that support recommendations, alerts, explanations, user feedback, approvals, and auditabilityEnsure applications meet enterprise standards for security, accessibility, performance, reliability, and observabilityPartner with AI engineers, agentic AI developers, product owners, data teams, and business stakeholders to deliver usable AI-enabled solutions
Basic Qualifications:
Bachelor's degree in Computer Science, Software Engineering, Information Systems, Human-Computer Interaction, Design, or a related field8+ years of experience in product design, front-end engineering, or a hybrid design-engineering role, with demonstrated ownership of both UX/design decisions and implementationStrong product/UX design judgment•able to design intuitive workflows and interfaces from ambiguous requirements, not just implement provided mockupsA portfolio demonstrating both design work and shipped applicationsSolid React, TypeScript, and modern JavaScript skills, with experience using AI-assisted development tools (GitHub Copilot, Cursor, v0, or similar) to accelerate implementationExperience integrating applications with APIs, back-end services, authentication, and enterprise data sourcesUnderstanding of accessibility, responsive design, and application security fundamentalsAbility to work directly with business stakeholders and translate complex workflows into clear, well-designed application experiencesDemonstrated ability to operate independently and own application delivery end-to-end, using AI tooling to move quickly without sacrificing design qualityPreferred Qualifications:
Experience with Figma, design systems, or component librariesExperience designing human-in-the-loop workflows, approval screens, exception management tools, dashboards, or operational control interfacesFamiliarity with LLMs, generative AI, AI agents, model outputs, RAG, or AI recommendation workflowsExperience with GitHub Actions, Power Apps, Streamlit, or similar rapid development toolsExperience building and deploying applications in AWS and/or Azure environmentsExperience with enterprise identity, role-based access, and production support at scaleExperience with supply chain, logistics, planning, procurement, manufacturing, transportation, or enterprise operationsWe're building an AI-enabled supply chain that senses, predicts, prescribes, and acts. As the AI Application Engineer, you'll design and build production-grade user interfaces and application experiences that make AI insights, recommendations, workflows, and agent actions usable by supply chain teams. This role combines strong UX/product design judgment with React front-end development•using AI-assisted tools like GitHub Copilot to translate designs and business requirements into secure, reliable, and intuitive applications quickly.Responsibilities include but not limited to:
Design and build production-grade user interfaces for AI-enabled supply chain applications using React, TypeScript, and AI-assisted development tools (GitHub Copilot)Own the full path from UX concept to shipped interface•wireframing, interaction design, and implementationDevelop dashboards, workflow screens, exception management views, approval interfaces, and human-in-the-loop experiences that are genuinely intuitive for non-technical business usersIntegrate front-end applications with APIs, agents, models, data services, and enterprise systemsTranslate ambiguous business requirements and AI outputs into clear, well-designed application experiences•making judgment calls on UX where requirements are incompleteBuild application features that support recommendations, alerts, explanations, user feedback, approvals, and auditabilityEnsure applications meet enterprise standards for security, accessibility, performance, reliability, and observabilityPartner with AI engineers, agentic AI developers, product owners, data teams, and business stakeholders to deliver usable AI-enabled solutionsAt Stellantis, we assess candidates based on qualifications, merit, and business needs. We welcome applications from all people without regard to sex, age, ethnicity, nationality, religion, sexual orientation, disability, or any characteristic protected by law. We believe that diverse teams reflect our identity as a global company, enabling us to better address the evolving needs of our customers and care for our future. Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled.