Sr Principal AI Architect

Job Summary

The Sr. Principal AI Architect is an industry-recognized technology leader with deep expertise in Artificial Intelligence (AI), enterprise architecture, intelligent automation, and digital transformation. You will serve as a key technical leader responsible for helping define, develop, and implement Jabil's Enterprise AI strategy, architecture, and adoption roadmap across the organization.

Accomplished in leading multiple technical teams through architecture definition, solution development, deployment, and operationalization, the Sr. Principal AI Architect provides strategic direction for AI initiatives involving Generative AI, Computer Vision, Digital Twins, Machine Learning, intelligent automation, and emerging AI technologies. You will partner with business, engineering, manufacturing, quality, supply chain, and IT leaders to identify opportunities where AI can deliver measurable business value while establishing standards, architectures, governance, and best practices across Jabil.

You will consult on enterprise AI architectures, assess technical requirements and organizational capabilities needed to accelerate AI adoption, and provide technical leadership to ensure AI solutions are scalable, secure, responsible, and aligned with business objectives.

Essential Duties And Responsibilities

• Meets the requirements of key technology Lead Engineer in respective expertise.
• Serves as a senior technical leader in the development and execution of Jabil's Enterprise AI strategy and roadmap.
• Leads the development and implementation of enterprise AI architectures, platforms, and frameworks supporting Generative AI, Computer Vision, Digital Twins, Machine Learning, and intelligent automation initiatives.
• Acts as a trusted technical advisor to executive leadership, business stakeholders, and engineering organizations regarding AI strategy, capabilities, investments, and adoption plans.
• Works with Project Manager Engineering Services and leadership teams to assess technical feasibility, capabilities, risks, and investment requirements for AI initiatives and technology opportunities.
• Provides technical input to identify and solve project risks that may affect enterprise AI programs, strategic initiatives, overall project plans, and schedules.
• Leads the development and utilization of enterprise standards, governance frameworks, best practices, and processes for AI solution design, deployment, monitoring, and lifecycle management.
• Stays abreast of latest advancements in Artificial Intelligence, Generative AI, Computer Vision, Digital Twins, Cloud AI platforms, intelligent automation, and emerging technologies to ensure Jabil remains competitive and innovative.
• Raises perception of Jabil's AI and technology leadership within the industry by authoring or presenting papers, articles, patents, technical publications, white papers, conference presentations, and other thought leadership materials.
• Maintains active participation in relevant industry organizations, technology councils, standards bodies, and AI-focused communities.
• Works with Site Directors, Business Unit leaders, and executive stakeholders to define R&D initiatives, pilot programs, and strategic investments that expand Jabil's AI capabilities and competencies.
• Leads the development and implementation of enterprise AI platform architectures in collaboration with senior engineering, data, and technology staff.
• Guides and oversees the development of AI system requirements, data architectures, interfaces, governance models, integration standards, and technical specifications necessary to maintain consistency and integrity across enterprise AI solutions.
• Defines reference architectures for Generative AI, AI Agents, Digital Twin platforms, Computer Vision solutions, MLOps environments, and enterprise AI systems.
• Manages solution architecture and technical documentation at the enterprise, platform, and system levels.
• Guides and assists Jabil leadership in evaluating new AI technologies, platforms, infrastructure, and deployment strategies.
• Demonstrates key leadership and serves as a senior technical leader for local and remote development, engineering, data science, and AI teams.
• Identifies and develops innovative solutions that enhance Jabil's capabilities through AI, automation, simulation, predictive analytics, and intelligent decision support systems.
• Oversees technical teams involved in proof‑of‑concepts, experimentation, model evaluation, benchmarking, Digital Twin development, Computer Vision deployments, and enterprise AI initiatives.
• Leads and/or supports technology training, AI adoption programs, transfer of best practices, and capability development across Jabil facilities globally.
• Effectively consults on multiple strateg