Lead AI Engineer

Prologis

Phoenix, USA

Full-time

Onsite

$147,000 to $202,000,

Discovered 1 weeks ago

Production AI platform engineeringGenerative AI and large language model applicationsAgentic systemsRetrieval-augmented generationWorkflow orchestrationPython

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Production AI platform engineeringGenerative AI and large language model applicationsAgentic systems

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Role Overview

Build production AI platform capabilities that transform building, project, asset, and operational data into reusable solutions.

Serve as a lead individual contributor through architecture, hands-on implementation, pattern-setting, and ownership of production outcomes.

Partner with business, technology, security, and operations stakeholders to create governed AI capabilities.

Locations

The role may be based in Denver, San Francisco, Phoenix, Chicago, or Dallas, with other Prologis office locations potentially considered.
The description later identifies Denver, Colorado as the location and lists Chicago, Dallas, Phoenix, and San Francisco as additional locations.

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 linking models, assets, documents, telemetry, and operational context.
Develop multimodal data pipelines for BIM, Autodesk, geospatial, document, and operational data.
Deliver AI workflows for design, construction, commissioning, building operations, sustainment, and reinvestment.
Move solutions from prototype through pilot and production with governance, documentation, evaluation, observability, and operational readiness.
Establish reusable engineering patterns for scaling successful pilots into enterprise platforms.
Partner with stakeholders to define workflows, technical scope, implementation plans, rollout approaches, and improvements.

Required Qualifications

At least 6 years of experience in software engineering, platform engineering, data engineering, applied AI, automation, technology consulting, or related technical delivery.
Experience building or maintaining AI-assisted workflows, large language model applications, or agentic systems for business use cases.
Experience translating ambiguous business materials and stakeholder feedback into structured, testable, governed solutions.
Experience leading discovery, workflow mapping, technical scoping, implementation, rollout, and post-launch iteration.
Ability to apply context engineering, retrieval-augmented generation, semantic layers, tool calling, structured outputs, orchestration, evaluation, and human review.
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 to technical and non-technical stakeholders.

Preferred Qualifications

Experience with agent frameworks or orchestration platforms such as OpenAI Agents SDK, LangChain, LangGraph, LlamaIndex, MCP, AutoGen, CrewAI, or n8n.
Experience with Autodesk platforms, BIM, geospatial systems, reality capture, simulation platforms, or digital twins.
Experience with AWS IoT, AWS Lambda, event-driven or serverless architectures, streaming telemetry, or cloud-native operational data platforms.
Experience with building lifecycle systems, operational technology, asset management, estimating, bid management, project controls, or field support.
Experience with knowledge graphs, entity resolution, ontologies, vector databases, Snowflake, data lakes, semantic layers, or BI and reporting.

Compensation

Hiring salary range is $147,000 to $202,000, with total compensation including a bonus target determined by location, education, experience, skills, and market alignment.