We are building an AI-enabled supply chain that reasons, decides, and acts. As an AI Engineer - Supply Chain, you will design and build production-grade AI agents that execute multi-step workflows, make context-aware decisions, and integrate with enterprise systems through APIs, microservices, and workflow platforms.

This is an AI engineering role focused on agent orchestration, tool-calling, RAG/context retrieval, evaluation, and safety guardrails-enabling autonomous planning, logistics, and operations decisions across the supply chain.

Responsibilities include but not limited to:

Build autonomous AI agents using LLMs, reasoning frameworks, tool-calling, memory, and guardrailsDesign multi-step planning and decision logic that enables agents to act safely and intelligentlyIntegrate agents with APIs, microservices, and workflow systems (e.g., Logic Apps, Power Automate)Develop evaluation frameworks to measure agent performance, reliability, and safetyCollaborate with data science, automation, and product teams to embed predictive and prescriptive signals into agent workflowsTranslate business processes into structured agent behaviors and decision flowsEnsure compliance, observability, and governance for agentic systems

Basic Qualifications:

Bachelor's or Master's degree in computer science, data science, engineering, or a related field8+ years of professional software and/or AI engineering experience, including 3+ years supporting supply chain or enterprise operationsDemonstrated ability to operate independently and own production services end-to-end (design, build, deploy, monitoring, incident response) with minimal oversightStrong software engineering skills (Python preferred)Hands-on experience with LLMs, prompt engineering, agent frameworks, or orchestration toolsUnderstanding of APIs, microservices, and event-driven architecturesFamiliarity with supply chain processes or enterprise systemsExperience designing multi-step workflows or decision logicAbility to translate business logic into structured agent behaviors

Preferred Qualifications:

PhD degree in data science, computer science, or related fieldExperience with agent frameworks (LangChain, Semantic Kernel, AutoGen)Experience with RAG, vector databases, or memory architectureFamiliarity with observability, evaluation frameworks, and safety guardrailsExperience integrating agents with ERP, WMS, TMS, or supply chain APIsWe are building an AI-enabled supply chain that reasons, decides, and acts. As an AI Engineer - Supply Chain, you will design and build production-grade AI agents that execute multi-step workflows, make context-aware decisions, and integrate with enterprise systems through APIs, microservices, and workflow platforms.

This is an AI engineering role focused on agent orchestration, tool-calling, RAG/context retrieval, evaluation, and safety guardrails-enabling autonomous planning, logistics, and operations decisions across the supply chain.

Responsibilities include but not limited to:

Build autonomous AI agents using LLMs, reasoning frameworks, tool-calling, memory, and guardrailsDesign multi-step planning and decision logic that enables agents to act safely and intelligentlyIntegrate agents with APIs, microservices, and workflow systems (e.g., Logic Apps, Power Automate)Develop evaluation frameworks to measure agent performance, reliability, and safetyCollaborate with data science, automation, and product teams to embed predictive and prescriptive signals into agent workflowsTranslate business processes into structured agent behaviors and decision flowsEnsure compliance, observability, and governance for agentic systemsAt 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.