Senior AI Process Engineer at Prologis

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Logistics, Supply ChainIndustries

Requirements

Bachelor’s degree in Business, Information Systems, or related field
5+ years of experience in process engineering, BPM, or process optimization
Deep expertise in BPMN 2.0 and DMN modeling and process redesign
Strong skills in stakeholder facilitation, backlog management, and progress reporting
Experience managing multiple concurrent projects

Responsibilities

Lead process discovery and redesign workshops to analyze current state, uncover root causes, and define future-state processes optimized for AI enablement
Create and manage a backlog of process improvement and automation opportunities, aligned to business priorities and enterprise AI strategy
Redesign business processes by applying the full capabilities of BPMN 2.0 at both strategic and operational levels, ensuring effective and efficient execution of process instances. Incorporate deterministic and probabilistic decision automation and integrate AI agents to enhance business outcomes
Provide regular reporting on progress, risks, and outcomes in agile way to leadership and stakeholders
Partner with business and technical teams to ensure redesigned processes integrate seamlessly with enterprise systems and data flows, and always meet compliance requirements
Collaborate with vendors and partners to manage multiple projects in parallel, ensuring deliverables meet enterprise standards and demanding timelines
Foster process ownership and governance across departments, ensuring adherence to standards, security, and PII controls
Support cataloging processes as assets, building a comprehensive enterprise process landscape that informs AI and automation roadmaps
Use process mining and analytics tools (e.g., Camunda Optimize) to measure adoption, performance, and business value realization
Champion a culture of AI adoption, demonstrating how redesigned processes and AI agents can augment human decision-making
Collaborate closely with the Data Solutions team to align redesigned processes with the company’s data foundation, ensuring they integrate seamlessly with the semantic data model and broader data strategy