Senior AI Applied Engineer

Prologis is hiring a Senior AI Applied Engineer to experiment with emerging AI techniques and evolve enterprise AI patterns through hypothesis-driven pilots. The role evaluates results, communicates business-relevant recommendations, and partners with AI platform and delivery teams to move successful approaches into scalable architectures.

Responsibilities:

• Drive AI innovation and rapid experimentation to advance Prologis capabilities (agentic workflows, reasoning approaches, evaluation methods, and emerging techniques)
• Design and execute timeboxed pilots with clear hypotheses, success metrics, and kill/scale decision points
• Enhance and evolve existing enterprise AI patterns and standards (e.g., retrieval-augmented generation, text-to-SQL, evaluation/observability, guardrails) using new approaches and measured outcomes
• Build reference implementations and handoff documents so successful experiments transition into scalable architectures in partnership with the Central AI team
• Develop within the AWS ecosystem using secure, observable, cost-aware architectures and strong software engineering practices
• Communicate results through demos and concise readouts that connect technical outcomes to business value, tradeoffs, and recommended next steps
• Support priority project work as cycles allow, focused on de-risking and acceleration with clear entry/exit criteria
• Continuously evaluate emerging AI tools, frameworks, and vendor offerings; synthesize external research, OSS trends, and vendor capabilities into actionable recommendations for Prologis