Lead AI Engineer

Jobtailor; Arizona; On-site; USD 150,000 - 210,000; Full time

Job summary

Jobtailor seeks a senior AI platform engineer to design and build production-grade AI capabilities that transform building and operational data into reusable solutions for construction, procurement, and operations teams.

You will implement agents, retrieval-augmented generation, and tool calling, while orchestrating workflows and ensuring governance, observability, and post-launch improvements. Strong coding and collaboration are essential.

Qualifications

• 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.
• Experience leading discovery, workflow mapping, technical scoping, implementation, rollout, and post-launch iteration with users or domain teams.

Responsibilities

• Build production AI platform capabilities that transform Prologis building, project, asset, and operational data into reusable solutions for construction, procurement, and operations teams.
• 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.

Skills

Python

TypeScript

JavaScript

APIs integration

Context engineering

Retrieval-augmented generation

Tool calling

Workflow orchestration

Human-in-the-Loop design

Clear communication

Stakeholder engagement

Tools

BIM

Autodesk

SaaS Platforms

Enterprise Systems

Workflow Tools

Job description

• Build production AI platform capabilities that transform Prologis building, project, asset, and operational data into reusable solutions for construction, procurement, and operations teams.
• 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.
• Experience leading discovery, workflow mapping, technical scoping, implementation, rollout, and post-launch iteration with users or domain teams.
• 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.

Core Competencies

Demonstrates expertise in building and implementing AI platform capabilities, including multimodal data pipelines and AI-assisted workflows. Proficient in translating complex workflows into structured solutions while collaborating with cross-functional teams to drive successful project outcomes.

Highest-signal resume keywords

• AI Platform Development
• Multimodal Data Pipeline Engineering
• Workflow Orchestration
• Python Programming
• API Integration

ATS Optimization Keywords

Hard Skills

• Software Engineering
• Platform Engineering
• Data Engineering
• Applied AI
• Automation
• Large Language Model Applications
• Context Engineering
• Tool Calling
• Structured Outputs
• Human-in-the-Loop Design

Soft Skills

• Clear Communication
• Stakeholder Engagement
• Technical Scoping
• Post-Launch Iteration

Industry Keywords

• Construction
• Procurement
• Operations
• Governance
• Evaluation

Tools & Technologies

• BIM
• Autodesk
• SaaS Platforms
• Enterprise Systems
• Workflow Tools