Technical AI Lead, Document Generation, Administration

🔥 11 hours ago

🌵 Arizona, California, +8 more states – Remote

🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🌽 Illinois – Remote 🎰 Nevada – Remote 🏖️ New Jersey – Remote 🏈 Ohio – Remote 🌲 Oregon – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote

💵 $152k - $200k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 3%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Prologis

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1983

📦 Logistics

🏭 Manufacturing

🏗️ Construction

Logistics • Manufacturing • Construction

Prologis is a global leader in logistics real estate with a focus on delivering comprehensive solutions for the global supply chain. They provide cutting-edge real estate services, industrial property leasing, and development in strategic locations worldwide. Their offerings include warehouse automation, energy sustainability, mobility solutions, and logistics workforce training. Prologis is committed to improving energy efficiency, minimizing operational costs, and supporting sustainability efforts to build resilient communities and promote economic development.

📋 Description

• 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

• 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

• 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