Supply Chain Applied AI Engineer

About the Role:Join the Supply Chain AI Hub as an AI Engineer helping translate business opportunities into practical AI solutions across different Supply Chain perimeters. This role helps engage closely with business teams, regional stakeholders and external ecosystem players to frame the right use cases, scale value by moving from prototypes and experiments to reusable and deployment-ready assets, and pioneer practical engineering approaches by testing innovations, scouting relevant solutions and contributing to real-world AI delivery.Key Interfaces: Business stakeholders across supply, demand, operations and adjacent Supply Chain perimetersAI Architecture & Delivery Standards LeadSenior Data Engineers and data stakeholdersRegional AI & Data LeadsExternal ecosystem players, solution partners and relevant innovation providers when usefulYour Missions: Use-Case Framing, Prototyping & Experimentation:Translate business problems into practical AI solution components, prototypes, experiments and scalable technical approaches depending on the maturity of the use caseWork iteratively with business stakeholders to test ideas early, challenge assumptions and keep technical ambition grounded in real operational valueHelp distinguish what should remain exploratory from what should move toward reuse, industrialization or broader deploymentEngineering, Integration & Delivery Support: Contribute to solution logic, integrations, data connectivity and reusable technical components required by active AI use casesAlign technical work with architecture standards, trusted-deployment expectations and practical delivery constraintsHelp maintain delivery momentum while making early blockers, dependencies and risks visible to the right stakeholdersInnovation Scouting & External Ecosystem Engagement: Maintain awareness of relevant external innovations, tools, partners and emerging AI approaches that could strengthen Supply Chain use casesContribute informed recommendations on when external solutions, partnerships or rapid experimentation are worth exploringHelp connect domain needs with relevant external capabilities without losing control of delivery practicalityReuse, Scale & Regional Adaptation: Build with reuse in mind so assets can evolve from early exploration to broader deployment across regions, use cases and business contextsCapture engineering learnings, patterns and playbooks that accelerate future delivery workContribute to practical AI scale-up by balancing speed, quality, experimentation and long-term maintainabilityYour Profile: Hands-on AI / ML / GenAI engineering background with strong technical curiosity and pragmatic build disciplineComfortable with Python, APIs, integrations and practical solution development in modern enterprise environmentsAble to work closely with business stakeholders in iterative delivery, prototyping and scaling contexts.Interested in both innovation scouting and real delivery executionStructured, inventive and able to take ownership of a defined subset of a broader AI engineering scopeSkills You'll Grow: Exposure to a broad range of Supply Chain AI use cases and business contextsExperience balancing experimentation, engineering quality and deployment logic in real delivery settingsOpportunity to deepen expertise in a specific domain while contributing to a wider AI engineering agendaWhy Join / Impact:Work on AI engineering challenges directly tied to real Supply Chain business valueJoin a role broad enough to offer variety, while still allowing focused ownership on a defined perimeterHelp shape practical AI solutions from early idea to credible deployment pathBasic Qualifications: Bachelor’s or Master’s degree in Engineering, AI , Computer Science or related field8 years of experience in Supply Chain with a focus on AI, ML, GenAIHands-on AI / ML / GenAI engineering background with strong technical curiosity and pragmatic build disciplineAble to work closely with business stakeholders in iterative delivery, prototyping, and scaling contextsDemonstrated ability to operate independently and own production services end-to-end (design, build, deploy, monitoring, incident response) with minimal oversightComfortable with Python, APIs, integrations and practical solution development in modern enterprise environmentsInterested in both innovation scouting and real delivery executionBrand: FCA GroupJob ID: 2019685Employment Type: Full-timeJob Area: Supply ChainPosted Date: 14/07/2026