1 day ago
Chicago, IL, USA +8 moreStaff+
Base Salary
$152k - $200k/yr
Responsibilities
- Lead AI initiatives end to end from business discovery and solution design through prototyping, architecture, integration, evaluation, implementation, rollout, adoption, and continuous improvement.
- Identify high-value AI opportunities and determine whether generative AI, agentic automation, document intelligence, traditional automation, or process redesign is appropriate.
- Define scalable architectures connecting LLMs, AI agents, RAG, enterprise data, Salesforce, APIs, document platforms, workflow orchestration, and other enterprise systems.
- Design secure agentic workflows for retrieval, reasoning, tool and API execution, multi-step processes, human oversight, controls, and guardrails.
- Establish RAG and knowledge architecture patterns for ingestion, metadata, embeddings, vector and hybrid search, grounding, citations, access-controlled retrieval, and evaluation.
- Lead document intelligence solutions for lease abstraction, contract analysis, clause identification, obligation extraction, risk analysis, classification, and document generation.
- Provide technical direction across engineers, architects, vendors, and onshore/offshore teams through standards, architecture reviews, dependency management, and resolution of complex technical challenges.
Requirements
- At least 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 using 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 with 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 unstructured content such as leases, contracts, legal documents, or other enterprise documents.
- Experience with complex Salesforce or CRM environments, 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.
- Preferred experience includes logistics real estate, commercial real estate, leasing, legal operations, contract management, document generation, CLM, eSignature, contract analytics, legal AI, Dataiku, Snowflake, Salesforce AI capabilities, OpenAI or comparable LLM platforms, vector databases, Git, CI/CD, automated testing, API development, developer tooling, cloud architectures, and leadership across distributed teams.
Benefits
- Full-time US roles include healthcare, dental, and vision insurance for employees and eligible dependents.
- 401(k) plan with a company match of 50% up to 12% of eligible compensation.
- Generous PTO starting at 22 days per year, plus paid holidays and volunteer time.
- Additional wellness, financial, and work/lifestyle benefits are available.
- The role is based in Denver or can be remote, with additional listed locations across the United States.
Categories
About Prologis
Prologis is a public logistics real estate company that develops, owns, and leases industrial warehouses and distribution facilities for e-commerce, retail, and logistics customers. It also provides operations, energy, mobility, and warehouse solutions that support tenants’ supply chains. Founded in 1983 and headquartered in San Francisco, it operates globally and trades on the NYSE as PLD, with a portfolio exceeding one billion square feet of logistics space.