Teams at Prologis

Design and operate AWS and Azure infrastructure, modernize operational workflows with AI and automation, build agentic/event-driven self-service platforms, automate identity and endpoint workflows, establish safe AI operational standards, and influence engineering teams with reusable components, observability, and metrics to reduce manual work and improve reliability.

Leads enterprise AI innovation through hypothesis-driven pilots, evaluation, and experimentation with agentic workflows, RAG, text-to-SQL, and emerging LLM techniques. Designs secure, observable, cost-aware AWS architectures, develops reference implementations, and transitions successful prototypes into scalable enterprise patterns. Communicates technical findings, business impact, tradeoffs, and recommendations while evaluating AI tools, frameworks, vendors, and research.

Manage and execute interconnection strategies for energy infrastructure, overseeing projects across multiple markets while coordinating with internal and external stakeholders.