Lead AI Engineer

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. Job Title: Lead AI Engineer Company: Prologis Title: Lead AI Engineer Location: Denver, CO; San Francisco, CA; Phoenix, AZ; Chicago, IL; or Dallas, TX. Other Prologis office locations may be considered. A day in the life The Lead AI Engineer builds production AI platform capabilities that transform Prologis building, project, asset, and operational data into reusable solutions for construction, procurement, and operations teams. As a lead individual contributor, this role provides technical leadership through architecture, hands-on implementation, pattern-setting, and ownership of production outcomes rather than people management. The engineer partners with business, technology, security, and operations stakeholders to connect enterprise data, building models, documents, telemetry, digital twins, and workflow systems into governed AI capabilities. The work supports Prologis’s global logistics real estate portfolio of approximately 1.3 billion square feet across 20 countries. Key responsibilities include: Design and implement production AI platform capabilities, including agents, retrieval-augmented generation, tool calling, workflow orchestration, evaluation, and human review. Build an AI-native building knowledge platform that links building models, assets, documents, telemetry, and operational context. Develop multimodal data pipelines that convert BIM, Autodesk, geospatial, document, and operational data into structured, queryable knowledge. Deliver AI workflows supporting design, construction, commissioning, building operations, sustainment, and reinvestment use cases. Move priority solutions from prototype through pilot and production with appropriate governance, documentation, evaluation, observability, and operational readiness. Establish reusable engineering patterns that enable successful pilots to scale into enterprise platform capabilities. Partner with business, technology, security, and operations teams to define workflows, technical scope, implementation plans, rollout approaches, and post-launch improvements. Building blocks for success Required: 6+ years of experience in software engineering, platform engineering, data engineering, applied AI, automation, technology consulting, or a related technical delivery role. Experience designing, building, deploying, or maintaining AI-assisted workflows, large language model applications, or agentic…