Technical AI Lead, Leasing, Legal, Document Generation/Administration

Prologis; Las Vegas (NV); Sur place; USD 152 000 - 200 000; Plein temps

Résumé du poste

Prologis is seeking a Technical AI Lead for Leasing, Legal, and Document Generation/Administration to drive the technical strategy and delivery of AI-enabled capabilities across critical workflows. You will partner with business leaders, product, and engineering teams to move opportunities from discovery to production, ensuring secure, scalable, and trusted solutions with measurable business impact.

The role requires deep technical expertise in LLMs, agentic workflows, and enterprise data

Qualifications

• 7+ years in technical leadership, software engineering, enterprise architecture, AI delivery, CRM, data platforms, digital transformation, or closely related enterprise technology disciplines.
• Demonstrated experience designing and delivering generative AI solutions incorporating LLMs, agentic workflows, RAG, enterprise search, document intelligence, prompt engineering, or workflow orchestration.
• Ability to prototype, evaluate, and troubleshoot AI solutions using Node, Python, SQL, APIs, JSON, enterprise AI platforms, and modern AI development tools.
• Experience designing agentic workflows incorporating enterprise retrieval, reasoning, tool or API execution, orchestration, state management, human oversight, guardrails, and evaluation.
• Experience establishing systematic methods to evaluate AI accuracy, groundedness, hallucination risk, retrieval quality, extraction performance, agent or tool execution, and end‑to‑end workflow success.
• Experience applying AI to complex unstructured content, including leases, contracts, legal documents, or other enterprise documents.
• Experience with complex Salesforce or CRM environments and related data, integrations, workflows, automation, reporting, or AI capabilities.
• Experience integrating structured and unstructured enterprise data through APIs, middleware, ETL/ELT, data pipelines, and data platforms such as Snowflake or comparable technologies.
• Demonstrated experience moving AI solutions from prototypes into production, including testing, deployment, monitoring, governance, support, and continuous improvement.
• Ability to translate complex business processes and evolving requirements into executable technical solutions and communicate architecture and AI concepts effectively to business and technical stakeholders.

Responsabilités

• Lead AI initiatives end to end, from business discovery and solution design through prototyping, architecture, integration, evaluation, implementation, rollout, adoption, and continuous improvement.
• Identify and frame high‑value AI opportunities with business stakeholders, determining when generative AI, agentic automation, document intelligence, traditional automation, or process redesign is the appropriate solution.
• Define scalable AI solution architectures connecting LLMs, AI agents, retrieval‑augmented generation (RAG), enterprise data, Salesforce, APIs, document platforms, workflow orchestration, and other enterprise systems.
• Design agentic AI workflows that securely retrieve enterprise information, reason over business context, invoke tools and APIs, and execute multi‑step processes with appropriate human oversight, controls, and guardrails.
• Establish enterprise RAG and knowledge architecture patterns for document ingestion, metadata, embeddings, vector and hybrid search, grounding, citations, access‑controlled retrieval, and retrieval evaluation.
• Lead document intelligence solutions supporting lease abstraction, contract analysis, clause identification, obligation extraction, risk analysis, document classification, document generation, and related Leasing and Legal workflows.
• Provide technical direction and coordinate delivery across engineers, architects, vendors, and onshore/offshore teams, establishing engineering standards, conducting architecture and design reviews, resolving complex technical challenges, and aligning stakeholders on dependencies, risks, data readiness, timelines, and adoption.

Connaissances

AI leadership

Enterprise architecture

LLM design

Workflow orchestration

APIs & data integration

Python

Node.js

SQL

RAG

CRM systems

Outils

Dataiku

Snowflake

Salesforce AI

OpenAI

Vector databases

APIs

CI/CD tools

Description du poste

Job Title

Technical AI Lead, Leasing, Legal, Document Generation/Administration

Company

Prologis

Title

Technical AI Lead, Leasing, Legal, Document Generation/Administration

Location

Denver or Remote

A day in the life

Prologis is scaling responsible AI across its business, and the Technical AI Lead for Leasing, Legal, and Document Generation/Administration will lead the technical strategy and delivery of AI‑enabled capabilities that improve critical business workflows. This hands‑on technical leadership role will partner with business leaders, product teams, engineers, architects, data teams, and technology partners to move high‑value opportunities from discovery and rapid prototyping through production deployment and adoption. The role will define how generative AI, agentic workflows, enterprise data, CRM, document intelligence, and integrations come together to solve business problems. Success requires combining deep technical expertise with business process understanding to deliver solutions that are accurate, secure, scalable, trusted by users, and capable of producing measurable business outcomes.

Key Responsibilities Include

• Lead AI initiatives end to end, from business discovery and solution design through prototyping, architecture, integration, evaluation, implementation, rollout, adoption, and continuous improvement.
• Identify and frame high‑value AI opportunities with business stakeholders, determining when generative AI, agentic automation, document intelligence, traditional automation, or process redesign is the appropriate solution.
• Define scalable AI solution architectures connecting LLMs, AI agents, retrieval‑augmented generation (RAG), enterprise data, Salesforce, APIs, document platforms, workflow orchestration, and other enterprise systems.
• Design agentic AI workflows that securely retrieve enterprise information, reason over business context, invoke tools and APIs, and execute multi‑step processes with appropriate human oversight, controls, and guardrails.
• Establish enterprise RAG and knowledge architecture patterns for document ingestion, metadata, embeddings, vector and hybrid search, grounding, citations, access‑controlled retrieval, and retrieval evaluation.
• Lead document intelligence solutions supporting lease abstraction, contract analysis, clause identification, obligation extraction, risk analysis, document classification, document generation, and related Leasing and Legal workflows.
• Provide technical direction and coordinate delivery across engineers, architects, vendors, and onshore/offshore teams, establishing engineering standards, conducting architecture and design reviews, resolving complex technical challenges, and aligning stakeholders on dependencies, risks, data readiness, timelines, and adoption.

Required

• 7+ years of experience in technical leadership, software engineering, enterprise architecture, AI delivery, CRM, data platforms, digital transformation, or closely related enterprise technology disciplines.
• Demonstrated experience designing and delivering generative AI solutions incorporating LLMs, agentic workflows, RAG, enterprise search, document intelligence, prompt engineering, or workflow orchestration.
• Ability to prototype, evaluate, and troubleshoot AI solutions using technologies such as Node, Python, SQL, APIs, JSON, enterprise AI platforms, and modern AI development tools.
• Experience designing agentic workflows incorporating enterprise retrieval, reasoning, tool or API execution, orchestration, state management, human oversight, guardrails, and evaluation.
• Experience establishing systematic methods to evaluate AI accuracy, groundedness, hallucination risk, retrieval quality, extraction performance, agent or tool execution, and end‑to‑end workflow success.
• Experience applying AI to complex unstructured content, including leases, contracts, legal documents, or other enterprise documents.
• Experience with complex Salesforce or CRM environments and related data, integrations, workflows, automation, reporting, or AI capabilities.
• Experience integrating structured and unstructured enterprise data through APIs, middleware, ETL/ELT, data pipelines, and data platforms such as Snowflake or comparable technologies.
• Demonstrated experience moving AI solutions from prototypes into production, including testing, deployment, monitoring, governance, support, and continuous improvement.
• Ability to translate complex business processes and evolving requirements into executable technical solutions and communicate architecture and AI concepts effectively to business and technical stakeholders.

Preferred

• Experience in logistics real estate, commercial real estate, leasing, legal operations, contract management, document generation, or adjacent B2B business processes.
• Experience with Contract Lifecycle Management (CLM), document generation, eSignature, contract analytics, legal AI, or comparable document‑centric enterprise platforms.
• Experience with enterprise AI and data technologies such as Dataiku, Snowflake, Salesforce AI capabilities, OpenAI or comparable LLM platforms, vector databases, and enterprise integration technologies.
• Experience with modern engineering practices including Git, CI/CD, automated testing, API development, developer tooling, and cloud‑based application architectures.
• Experience providing technical leadership across internal teams, vendors, and globally distributed onshore/offshore engineering teams.
• Demonstrates willingness and capability to leverage emerging technology, automation, and AI tools to improve efficiency, quality, and speed. Exercises sound judgment, creative thinking, and accountability for outcomes.

Hiring Salary Range Of

$152,000 - $200,000. 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.

People First

Each of us working at Prologis plays an essential role in the enduring success of our company. We value people who are decisive, courageous and adaptable. While we are one company, locations and departments operate with autonomy and accountability. Individuals take the initiative here. When you join Prologis, you work shoulder to shoulder with some of the top talent in the industry to do the best work of your career. Every employee belongs. Every employee contributes. Employees advance their careers here. As a successful global enterprise, Prologis has never lost sight of what matters most, our strong belief that our people are the most important part of our business. And because of that, we provide a generous total rewards package and take a lot of time to focus on quality management and leadership development. People come first here. All full‑time roles in the US come with a robust benefits package which includes healthcare, dental, and vision insurance for employees and eligible dependents. Prologis also offers several other wellness, financial, and work/lifestyle‑specific benefits. Our 401(k) retirement plan has a company match of 50% up to 12% of eligible compensation. We also offer generous PTO with a starting accrual of 22 days a year in addition to paid holidays and volunteer time.

All job offers are contingent upon successful completion of background verification. Prologis is an Equal Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religions, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law.

Employment Type

Full time

Location

Denver, Colorado

Additional Locations

Atlanta, Georgia, Cerritos, California, Chicago, Illinois, Columbus, Ohio, Dallas, Texas, East Rutherford, New Jersey, Las Vegas, Nevada, Nashville, Tennessee, Phoenix, Arizona, Portland, Oregon