Lead AI Engineer

About the role

The Lead AI Engineer at Prologis builds production AI platform capabilities that transform building, project, asset, and operational data into reusable solutions for construction, procurement, and operations teams. This role provides technical leadership through architecture, hands-on implementation, pattern-setting, and ownership of production outcomes.

Responsibilities

• 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.

Requirements

• 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 systems for business use cases.
• Experience translating ambiguous workflows, spreadsheets, document repositories, project records, and stakeholder feedback into structured, testable, and governed solutions.
• Ability to apply context engineering, retrieval-augmented generation, semantic layers, tool or function calling, structured outputs, orchestration, evaluation, and human-in-the-loop design.
• Programming or scripting capability in Python, TypeScript, JavaScript, or a comparable language.
• Experience integrating APIs, SaaS platforms, data sources, workflow tools, and enterprise systems.
• Ability to communicate technical decisions, risks, and outcomes clearly to technical and non-technical stakeholders.

Preferred

• Experience with agent frameworks or orchestration patterns such as OpenAI Agents SDK, LangChain, LangGraph, LlamaIndex, MCP, AutoGen, CrewAI, n8n, or comparable platforms.
• Experience with Autodesk construction and building platforms, BIM, geospatial systems, reality capture, simulation platforms, or digital twins.
• Experience with AWS IoT, AWS Lambda, event-driven or serverless architectures, streaming telemetry, rules engines, or cloud-native operational data platforms.
• Experience with building lifecycle systems, operational technology, building management systems, asset management, estimating, bid management, project controls, or field support.
• Experience with data platform patterns such as knowledge graphs, entity resolution, ontologies, vector databases, Snowflake, data lakes, semantic layers, or BI and reporting.
• Demonstrates willingness and capability to leverage emerging technology, automation, and AI tools to improve efficiency, quality, and speed.

Benefits

Salary range: $147,000 - $202,000. Salary and whole compensation package (bonus target) to be determined by the candidate’s location, education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.

Prologis offers a robust benefits package including healthcare, dental, and vision insurance for employees and eligible dependents. The 401(k) retirement plan has a company match of 50% up to 12% of eligible compensation. Additional benefits include generous PTO, paid holidays, and volunteer time off. All job offers are contingent upon successful completion of background verification.