Director of AI

5+ years in a senior leadership role designing and deploying AI systems at scaleProven, hands-on experience building ML models in Databricks (not just managing teams that do)Deep experience with PySpark/Spark ML, modern Python ML frameworks, and end-to-end ML lifecycle management, from model training through deployment and ongoing monitoringExperience integrating ML/AI solutions into production systemsExperience translating business problems into technical solutions and back againBachelor's degree in Computer Science, Data Science, Engineering, or a related technical field required, or equivalent practical experience Design, build, and maintain end-to-end AI solutions using Databricks, including:Feature engineering pipelinesML model training, evaluation, and tuningModel deployment and monitoring in productionDevelop machine learning models directly in Databricks (e.g., predictive models, classification, forecasting, NLP, and applied generative AI use cases)Leverage Databricks AI capabilities (MLflow model registry, feature stores, notebooks, jobs, and orchestration)Build and integrate AI solutions with existing enterprise systems (Yardi, Salesforce, ERP, BI platforms, internal applications)Prototype quickly, validate value, and harden solutions for production use AI Platforms & Tooling Design and implement AI solutions using:Databricks (core requirement)Microsoft Copilot Studio and related Microsoft AI servicesAzure-native data and AI services where appropriateEvaluate when to use traditional ML vs. generative AI vs. automationOwn the technical decisions around model selection, architecture, and scalability AI Strategy Define and maintain the enterprise AI roadmap based on what can be realistically built and supportedIdentify high-value, practical AI use cases tied to measurable business outcomes (cost reduction, revenue lift, operational efficiency)Balance experimentation with production readiness Governance, Reliability & Responsible AI Implement practical AI governance that does not slow delivery, including:Model versioning and lineagePerformance monitoring and drift detectionData privacy and security controlsEnsure AI systems are explainable, auditable, and aligned with internal standards "Our specialized recruiting professionals apply their expertise and utilize our proprietary AI to find you great job matches faster."

Created: 2026-05-16