A.I. Solutions Developer Global Supply Chain.

Jabil is hiring an AI and Data Solutions Developer for its Global Supply Chain organization. The role designs, develops, and implements AI, automation, and data-driven solutions to improve decision-making, supplier management, data quality, risk visibility, compliance, and operational efficiency.

Responsibilities:

• Design, develop, test, and deploy AI solutions that address global supply chain business needs
• Develop generative AI, machine-learning, natural-language-processing, and agentic automation capabilities
• Create intelligent tools for document verification, supplier data validation, company and address verification, contact verification, data classification, and exception management
• Develop AI assistants and bots that help suppliers and internal users’ complete forms, access information, resolve issues, and perform routine tasks
• Create automations to automate repetitive activities, improve overall global supply chain efficiency, and reduce manual intervention
• Monitor AI solutions for accuracy, reliability, performance, bias, and continued business value
• Support responsible AI practices, including human oversight, explainability, data privacy, security, and appropriate model governance
• Design and maintain scalable data pipelines, data models, APIs, integrations, and analytical solutions
• Integrate information from enterprise platforms, supplier systems, data warehouses, third-party risk providers, and external data sources
• Support the collection, validation, standardization, matching, and enrichment of supplier and supply chain data
• Develop solutions for unique supplier identification, duplicate detection, address validation, data mapping, and master-data quality
• Build dashboards, alerts, reporting tools, and predictive insights that support informed decision-making
• Establish monitoring processes to identify data-quality issues, integration failures, and performance concerns
• Create reusable technical components and development standards that support future growth
• Develop solutions supporting supplier onboarding, supplier qualification, supplier profiles, supplier development, risk management, compliance, sourcing, and performance management
• Enable collaboration and data sharing across Partner Portal, Supplier Profile, Supplier Development, ERP, procurement, and risk-management platforms
• Support predictive and prescriptive analytics for supplier risk, continuity, compliance, capacity, quality, and performance
• Research and develop intelligent search capabilities for company, commodity, geography, risk, and supplier-performance information
• Partner with global and regional teams to ensure solutions accommodate different processes, languages, regulatory requirements, and operating environments
• Facilitate discovery sessions to understand business challenges, user needs, data requirements, and expected outcomes
• Translate business requirements into technical specifications, solution designs, user stories, acceptance criteria, and testing plans
• Develop prototypes and proofs of concept to validate feasibility and demonstrate potential business value
• Participate throughout the product lifecycle, including planning, development, testing, deployment, documentation, training, and production support
• Apply secure development, version-control, testing, release-management, and change-management practices
• Troubleshoot production issues and perform root-cause analysis to improve solution stability
• Maintain technical documentation, data dictionaries, integration mappings, operating procedures, and solution architecture records
• Collaborate with Supply Chain, Procurement, Supplier Quality, Sustainability, Risk, Compliance, Finance, IT, Data Architecture, Cybersecurity, and Legal teams
• Explain technical concepts, AI capabilities, limitations, and risks in clear business language
• Partner with business analysts, product managers, project managers, and training teams to support adoption
• Evaluate technology providers and third-party solutions based on technical fit, security, scalability, cost, and business value
• Promote data literacy, AI awareness, and responsible adoption across the Global Supply Chain organization