Job 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