
TalentAlly is a recruitment platform that connects diverse talent with inclusive employers, focusing on enhancing workplace diversity and inclusion. The company offers job postings, recruitment…

TalentAlly is a recruitment platform that connects diverse talent with inclusive employers, focusing on enhancing workplace diversity and inclusion. The company offers job postings, recruitment…
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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 www.corespaces.com.
Benefits That Matter
Position Overview 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:
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
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
Ideally, You'll Have
You'll crush it if you have experience with
Organizational Structure Reports to: Vice President, Data Strategy
Direct Reports: N/A
Disclaimer Please note that job responsibilities, reporting lines, and duties outlined in this job description are subject to change to meet the evolving needs of the organization.
As an Equal Opportunity Employer, Core Spaces celebrates diversity and is committed to creating an equitable and inclusive environment, which creates a sense of belonging for all employees. We do not discriminate and believe every individual should be proud of who they are and the community they represent.
Pay Range USD $205,000.00 - USD $215,000.00 /Yr.
Additional Compensation Employees may be eligible for discretionary bonuses, typically up to 20% of base salary annually, depending on individual and organizational performance.
Compensation Disclosure The compensation range listed reflects the base salary or hourly rate that we reasonably and in good faith expect to offer for this role at the time of posting. Actual compensation may vary based on factors such as education, experience, skills, certifications, seniority, geographic location, and business needs.
This role may be eligible for additional forms of compensation, including bonuses, commissions, stipends, or non-cash incentives, depending on position and performance. Benefits may include health insurance, retirement plans, paid time off, and other role-based offerings, subject to eligibility requirements.
All compensation components are subject to change based on business needs or market conditions.
PDN-a0f0ff07-8060-44c4-a71c-13f864bb9917
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