Director, AI Architect & Engineer

Overview

Who We Are

Core Spaces (Core) is more than a real estate company; it’s a people company. Where building relationships is just as important as building properties. From researchers and architects to designers and operators, Core is made up of risk takers and dreamers who are on a mission to invent the future of living. Our six cultural values guide us every day and we strive to live them in everything we do:
PUSH (Invent Better Places to Live),
GRIT (We Got This),
LIFT (Help Each Other Win),
SHINE (Bring Your Full Self),
UPHOLD (Never Break Trust),
GROW (Always Get Better). Everything Core does stem from this culture of collaboration and innovation, and the drive to constantly improve the resident experience. This unique approach has led to creating spaces and services that are redefining the way people live.

What We Do

Founded in 2010, Core is a vertically integrated real estate investment manager focused on acquiring, developing, and managing across the student housing and build-to-rent (”BTR”) sectors. Its residential communities feature world-class amenities, progressive design, and hospitality-driven service. Core’s student housing portfolio includes over 59,000 beds currently owned or managed, with a pipeline of over 50,930 beds in various stages of development.

Core’s BTR division has over 3,000 homes under development, now leasing or in its pipeline in high growth metros nationwide. For more information, visit

* Portfolio and pipeline numbers as of Q4 2025

Benefits That Matter

• 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

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.

What You Will Do

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.…