Director of Artificial Intelligence

NOTE: Must have Databricks experience, building ML solutions using the platform. Additionally, strong preference for experience with Microsoft Copilot Studio to build internal customized AI Agents.OverviewThe Director, AI Architecture & Engineering is a hands-on technical leader responsible for designing, building, and scaling AI solutions across the business. This role combines deep Databricks expertise, modern AI platforms, and Microsoft's AI ecosystem with the ability to turn real business problems into production-ready systems. You won't just set strategy"”you'll build. This person operates as both the lead AI engineer and the driver of enterprise AI adoption across operations, development, leasing, and asset management.ResponsibilitiesBuild & Deliver AI SolutionsDesign and deploy end-to-end ML solutions in Databricks (feature engineering, training, tuning, deployment, monitoring)Develop models across predictive analytics, forecasting, NLP, and generative AIRapidly prototype, validate impact, and productionize solutionsIntegrate AI into enterprise systems (Yardi, Salesforce, ERP, BI, internal tools)Own AI Platforms & ArchitectureLead development using Databricks (core requirement), Microsoft Copilot Studio, and Azure AI servicesDetermine when to use ML, generative AI, or automationMake key decisions on model selection, architecture, and scalabilityDrive AI StrategyDefine and evolve a practical, execution-focused AI roadmapIdentify high-impact use cases tied to cost savings, revenue growth, and efficiencyBalance experimentation with production readinessGovernance & ReliabilityImplement scalable AI governance (model versioning, monitoring, drift detection, security)Ensure solutions are explainable, auditable, and compliantLead ExecutionDeliver AI products, tools, and automations end-to-endManage vendors and external partnersBuild and lead a high-performing AI teamEstablish best practices, documentation, and adoption frameworksQualifications5+ years leading and delivering AI/ML solutions at scaleHands-on experience building ML models in Databricks (required)Strong expertise in PySpark/Spark ML, Python ML frameworks, and full ML lifecycleProven experience deploying AI into production environmentsAbility to translate business needs into technical solutionsBachelor's degree in a technical field or equivalent experienceNice to HaveMicrosoft Copilot Studio / Microsoft AI ecosystem experienceBackground in real estate, finance, or asset-heavy industriesExperience with MLOps and CI/CD for data and ML

Created: 2026-05-09