Technical AI Lead, Document Generation, Administration

Prologis

. Lead AI initiatives end to end, from business discovery and solution design through prototyping, architecture, integration, evaluation, implementation, rollout, adoption, and continuous improvement .

Posted 10/23/2026full-timeRemote • United StatesSenior💰 $152,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading AI initiatives, including solution design, architecture, and implementation, while effectively communicating complex AI concepts to stakeholders. Proficient in designing scalable AI solutions and workflows that integrate enterprise data and automation tools.

Highest-signal resume keywords

AI Solution ArchitectureGenerative AI SolutionsDocument IntelligenceEnterprise Data IntegrationTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

NodePythonSQLAPIsJSONLLMsPrompt EngineeringWorkflow OrchestrationData PipelinesAI Evaluation

Soft Skills

Stakeholder CommunicationProblem SolvingTeam CoordinationTechnical DirectionAdaptability

Tools & Technologies

SalesforceSnowflakeDataikuOpenAIVector DatabasesCI/CDAutomated TestingCloud-Based ArchitecturesMiddlewareETL/ELT

Industry Keywords

Logistics Real EstateCommercial Real EstateContract ManagementLegal OperationsB2B Business ProcessesDocument GenerationESignatureContract AnalyticsLegal AIEnterprise Integration

Tech Stack

Tools & technologies

CloudETLNode.jsPythonSQL

About the role

Key responsibilities & impact

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
Determine whether generative AI, agentic automation, document intelligence, traditional automation, or process redesign is appropriate
Define scalable AI solution architectures connecting LLMs, AI agents, RAG, enterprise data, Salesforce, APIs, document platforms, workflow orchestration, and other enterprise systems
Design agentic AI workflows that retrieve enterprise information, reason over business context, invoke tools and APIs, and execute multi-step processes with 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 for 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
Establish engineering standards, conduct architecture and design reviews, resolve complex technical challenges, and align stakeholders on dependencies, risks, data readiness, timelines, and adoption

Requirements

What you’ll need

7+ years of experience in technical leadership, software engineering, enterprise architecture, AI delivery, CRM, data platforms, digital transformation, or closely related enterprise technology disciplines
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 evaluating 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
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
Preferred: Experience with CLM, document generation, eSignature, contract analytics, legal AI, or comparable document-centric enterprise platforms
Preferred: Experience with Dataiku, Snowflake, Salesforce AI capabilities, OpenAI or comparable LLM platforms, vector databases, and enterprise integration technologies
Preferred: Experience with Git, CI/CD, automated testing, API development, developer tooling, and cloud-based application architectures
Preferred: Experience providing technical leadership across internal teams, vendors, and globally distributed onshore/offshore engineering teams
Demonstrated willingness and capability to leverage emerging technology, automation, and AI tools
All job offers are contingent upon successful completion of background verification

Benefits

Comp & perks

Healthcare, dental, and vision insurance for employees and eligible dependents
401(k) retirement plan with a company match of 50% up to 12% of eligible compensation
Generous PTO with a starting accrual of 22 days a year
Paid holidays
Volunteer time
Wellness, financial, and work/lifestyle-specific benefits
Quality management and leadership development
Background verification for job offers