A.I. Solutions Developer Global Supply Chain.

Job description

At Jabil (NYSE: JBL), we are proud to be a trusted partner for the world's top brands, offering comprehensive engineering, supply chain, and manufacturing solutions. With 60 years of experience across industries and a vast network of over 100 sites worldwide, Jabil combines global reach with local expertise to deliver both scalable and customized solutions. Our commitment extends beyond business success as we strive to build sustainable processes that minimize environmental impact and foster vibrant and diverse communities around the globe. JOB SUMMARY The AI and Data Solutions Developer is responsible for designing, developing, and implementing artificial intelligence, automation, and data-driven solutions that improve decision-making and operational performance across the Global Supply Chain organization. This role translates supply chain challenges into scalable technical solutions by combining AI development, data engineering, analytics, system integration, and process automation. The position partners with business leaders, product owners, data teams, IT, and external technology providers to improve supplier management, data quality, risk visibility, compliance, planning, and operational efficiency. The ideal candidate combines strong technical capabilities with an understanding of global supply chain processes and can effectively translate business requirements into secure, reliable, and user-focused solutions. ESSENTIAL DUTIES AND RESPONSIBILITIES · AI and Intelligent Automation 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. Data Solutions Development 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. Global Supply Chain Enablement 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. Solution Design and Delivery 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. Cross-Functional Collaboration 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. JOB QUALIFICATIONS KNOWLEDGE REQUIREMENTS · Preferred Qualifications Experience within global supply chain, procurement, supplier management, manufacturing, logistics, or third-party risk management. Knowledge of supplier onboarding, qualification, development, compliance, performance, and risk processes. Experience with platforms such as SAP, Snowflake, Power BI, Azure, AWS, Databricks, Coupa, or comparable enterprise technologies. Experience with generative AI, retrieval-augmented generation, vector databases, AI agents, document intelligence, or natural-language processing. Familiarity with master-data management, supplier-data architecture, entity resolution, and unique-key mapping. Understanding of DevOps, MLOps, CI/CD, automated testing, model monitoring, and production support. Familiarity with responsible AI, and global regulatory requirements. Experience working in an Agile, Scrum, product-management, or program-management environment. Relevant certifications in AI, cloud development, data engineering, analytics, or supply chain management are beneficial. Core Competencies AI and data solution development Supply chain process understanding Business and technical translation Data quality and governance Systems thinking and integration Analytical problem-solving Innovation and continuous improvement Responsible AI judgment Cross-functional collaboration Global stakeholder communication Agile delivery and execution User-centered solution design Measures of Success Success in this role may be measured through: Improvement in supplier and supply chain data quality. Reduction in manual processing, duplicate records, and data exceptions. Increased speed and accuracy of supplier onboarding and qualification. Adoption and utilization of AI and data solutions. Improved visibility into supplier risk, compliance, and performance. Reliability, scalability, and security of deployed solutions. Achievement of project milestones and business-value targets. Stakeholder satisfaction and measurable process improvements. Compliance with data-governance, cybersecurity, and responsible-AI standards. Working Relationships This position works closely with: Global Supply Chain and Procurement leaders Partner Lifecycle and Partner Portal teams Supplier Profile and Supplier Development teams Data Architecture, Analytics, and Master Data teams Information Technology and Enterprise Architecture Cybersecurity, Legal, Compliance, and Risk teams Business