Senior AI Business Process Engineer

Overview

At Prologis, we don’t just lead the industry—we define it with a 1.3 billion square foot portfolio and an annual throughput of approximately $3.2 trillion. We create the intelligent infrastructure that powers global commerce, seamlessly connecting the digital and physical worlds. From agile supply chains to energy solutions, our ecosystems help your business move faster, operate smarter and grow sustainably. With unmatched scale, innovation and expertise, Prologis is a category of one—not just shaping the future of logistics but building what comes next.

Senior AI Business Process Engineer

• Lead process discovery and redesign workshops to analyze current state, uncover root causes, and define future-state processes optimized for AI enablement.
• Design, validate, and iterate executable BPMN 2.0 and DMN models that serve as the authoritative blueprint for implementation and system integration. Designs will also incorporate deterministic and probabilistic decision automation and integrate AI agents to enhance business outcomes.
• Provide regular reporting on progress, risks, and outcomes in an agile manner 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.
• Support and enable process ownership and governance across departments, ensuring adherence to standards, security, and PII controls.
• Support the cataloging of 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.
• Advocate for practical AI adoption by 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.

• 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 supporting multiple concurrent projects with internal teams and external vendors.
• Hands-on experience designing and deploying BPMN/DMN directly in Camunda 8 (Zeebee), serving as the source of truth for delivery.
• Working knowledge of data modeling principles (dimensions/facts, star schemas, slowly changing dimensions) and ability to collaborate effectively with data engineers and analysts to specify datasets, define metrics, validate results, and ensure alignment with semantic data models.
• Proven track record of successful automation and agentic AI deliverables.
• Strong curiosity and passion for AI, with an instinct for applying AI in daily work and the vision to integrate AI thoughtfully into business processes where value is added.
• Excellent communication skills, with the ability to bridge business and technology, collaborate effectively with business stakeholders, and navigate negotiations when priorities or approaches differ.

• Exposure to process mining tools and methodologies.
• Experience with automation and AI tools (RPA, IDP, OCR, NLP, ML integration).
• Familiarity with API-driven and event-driven workflow design.
• Experience working in agile, cross-functional teams.
• Data literacy and SQL proficiency and the ability to translate process KPIs into queries and reusable views that support monitoring, dashboards, and value realization.
• Exposure to a programming language such as Java, Python, or JavaScript is a plus.

Hiring Salary Range of: $138,000 - $189,000. Salary and whole compensation package (bonus target) to be determined by the candidate’s location, education,…