Director, AI Architect & Engineer

Core SpacesChicago, IL
20d$205,000 - $215,000

About The Position

The AI Architect & Engineering Director is a hands-on technical leader responsible for designing, building, and deploying artificial intelligence solutions across the organization. This role blends deep practical experience with Databricks-based machine learning, modern AI platforms, and Microsoft’s AI ecosystem, with the ability to translate business needs into working, production-grade systems. This is not solely an advisory role. The ideal candidate actively architects, prototypes, and implements AI solutions, while also shaping long-term strategy, governance, and adoption. They will serve as both the principal AI engineer and the strategic leader defining how AI is responsibly applied across operations, development, leasing, and asset management.

Requirements

  • 5+ years in a senior leadership role designing and deploying AI systems at scale
  • Proven, 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 monitoring
  • Experience integrating ML/AI solutions into production systems
  • Experience translating business problems into technical solutions and back again
  • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field required, or equivalent practical experience

Nice To Haves

  • Microsoft Copilot Studio or Microsoft AI tooling
  • Applying AI in real estate, finance, operations, or asset-heavy industries
  • Machine Learning Ops patterns and CI/CD for data and ML workloads

Responsibilities

  • Hands-On AI Architecture & Development
  • Design, build, and maintain end-to-end AI solutions using Databricks, including:
  • Feature engineering pipelines
  • ML model training, evaluation, and tuning
  • Model deployment and monitoring in production
  • Develop 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 services
  • Azure-native data and AI services where appropriate
  • Evaluate when to use traditional ML vs. generative AI vs. automation
  • Own 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 supported
  • Identify 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 lineage
  • Performance monitoring and drift detection
  • Data privacy and security controls
  • Ensure AI systems are explainable, auditable, and aligned with internal standards
  • Execution & Delivery
  • Oversee the development and deployment of AI products, tools, and automations
  • Manage vendor relationships with AI platforms, cloud providers, and consulting partners
  • Build and lead a high-performing AI team (engineers, data scientists, analysts)
  • Create documentation, playbooks, and best practices for AI adoption across the company
  • Occasional travel may be necessary as needed
  • Perform all other duties and tasks as assigned by management
  • Must be able to complete all physical requirements of this role with or without a reasonable accommodation

Benefits

  • A culture that provides you with a sense of belonging
  • Hybrid or remote work options may vary by role to support work-life balance
  • Competitive pay that values your contributions
  • Incentives designed to reward your achievements
  • Paid flexible PTO to disconnect or celebrate life milestones
  • Paid 14+ holidays, including your birthday, to disconnect and celebrate
  • Paid Parental Leave that begins after 90 days
  • Paid volunteer time off to give back to your community
  • Monthly workshop weeks; fewer meetings & more collaboration
  • Robust health plan options that begin within at least 30 days of your employment
  • Monthly phone reimbursement
  • Wellness allowance and perks, including a yearly subscription to a meditation app
  • An environment that provides you a voice to share your perspectives
  • Employee Assistance Program (EAP) for access to confidential support services
  • Company retirement options including 401(k) + matching & Roth account option
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