A.I. Solutions Developer Global Supply Chain.

Jabil•Tampa, FL

About The Position

The AI and Data Solutions Developer designs, develops, and implements artificial intelligence, automation, and data-driven solutions to improve decision-making and operational performance across Jabil’s Global Supply Chain organization. The role translates supply chain challenges into scalable technical solutions by combining AI development, data engineering, analytics, system integration, and process automation. It 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 position develops AI capabilities—including generative AI, machine learning, natural-language processing, and agentic automation—and data solutions such as pipelines, models, APIs, integrations, dashboards, alerts, and predictive insights. Solutions support supplier onboarding, qualification, development, risk management, compliance, sourcing, and performance management. The developer also supports data validation, standardization, matching, enrichment, supplier identification, duplicate detection, address validation, and master-data quality. The role participates throughout the solution lifecycle, from discovery and requirements translation through prototyping, development, testing, deployment, documentation, training, production support, and troubleshooting. It collaborates across global and regional business and technical teams, communicates AI capabilities and limitations in business terms, evaluates third-party technologies, and promotes data literacy and responsible AI adoption. Success is measured through improvements in data quality, process efficiency, onboarding speed and accuracy, solution adoption, risk visibility, reliability, security, project outcomes, and stakeholder satisfaction.

Nice To Haves

Experience in 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 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 in an Agile, Scrum, product-management, or program-management environment.
Relevant certifications in AI, cloud development, data engineering, analytics, or supply chain management.

Responsibilities

Design, develop, test, deploy, and monitor AI solutions for Global Supply Chain business needs, including generative AI, machine learning, natural-language processing, and agentic automation.
Create intelligent tools for document verification, supplier and company data validation, address and contact verification, data classification, and exception management.
Develop AI assistants, bots, and automations that help suppliers and internal users complete forms, access information, resolve issues, and reduce repetitive manual work.
Monitor AI solutions for accuracy, reliability, performance, bias, and business value, and support human oversight, explainability, privacy, security, and 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 supplier and supply chain data collection, validation, standardization, matching, and enrichment, including unique supplier identification, duplicate detection, address validation, data mapping, and master-data quality.
Build dashboards, alerts, reporting tools, predictive insights, and monitoring processes for data quality, integration failures, and performance concerns.
Create reusable technical components and development standards.
Develop solutions for supplier onboarding, qualification, profiles, 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 for company, commodity, geography, risk, and supplier-performance information.
Partner with global and regional teams to accommodate different processes, languages, regulatory requirements, and operating environments.
Lead or participate in 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 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 conduct root-cause analysis.
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, and partner with analysts, product managers, project managers, and training teams to support adoption.
Evaluate technology providers and third-party solutions for technical fit, security, scalability, cost, and business value.
Promote data literacy, AI awareness, and responsible AI adoption across Global Supply Chain.
Work 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; IT and Enterprise Architecture; Cybersecurity, Legal, Compliance, and Risk teams; business analysts, product managers, project managers; and external technology providers and strategic suppliers.