Blackstone is the world’s largest alternative asset manager. Blackstone seeks to deliver compelling returns for institutional and individual investors by strengthening the companies in which the firm invests. Blackstone’s over $1.3 trillion in assets under management include global investment strategies focused on real estate, private equity, credit, infrastructure, life sciences, growth equity, secondaries and hedge funds. Further information is available at www.blackstone.com. Follow @blackstone on LinkedIn, X (Twitter), and Instagram.

Job Description:Real Estate – Innovation, Applied AI Engineer

Business Unit:Blackstone Real Estate

Blackstone is a global leader in real estate investing. Blackstone’s real estate business was founded in 1991 and has US $314 billion of investor capital under management. Blackstone is the largest owner of commercial real estate globally, owning and operating assets across every major geography and sector, including logistics, data centers, residential, office and hospitality. Our opportunistic funds seek to acquire undermanaged, well-located assets across the world. Blackstone’s Core+ business invests in substantially stabilized real estate assets globally, through both institutional strategies and strategies tailored for income-focused individual investors including Blackstone Real Estate Income Trust, Inc. (BREIT). Blackstone Real Estate also operates one of the leading global real estate debt businesses, providing comprehensive financing solutions across the capital structure and risk spectrum, including management of Blackstone Mortgage Trust (NYSE: BXMT).

Title: Senior Associate

Location: New York, NY

Responsibilities:

Blackstone Real Estate has one of the richest proprietary real estate data environments in the world. Blackstone Real Estate a seeking an Applied AI Engineer, at the Associate or Senior Associate level, who will work directly with the business to turn that advantage into production-quality, scalable AI tools, workflows and applications that help our teams make better decisions faster.

Primary responsibilities include, but are not limited to:

• Partnering with investment, asset management, portfolio management and other teams to identify high-impact AI and automation opportunities, translate them into clear technical plans, define measurable outcomes, and deploy solutions
• Building applied AI solutions using Blackstone’s proprietary real estate data, including agents, dashboards, data pipelines, analytical applications and workflows that combine structured data, unstructured documents, external information and user feedback
• Working hands-on with Python, SQL, APIs, databases, LLMs, AI agents and enterprise AI tools to deliver reliable and scalable outputs
• Partnering with engineering, data and information security teams to ensure solutions are secure, governed, well-tested and ready for broader deployment
• Communicating progress, risks and recommendations clearly to both technical and non-technical stakeholders, including senior business leaders

Qualifications:

Blackstone seeks to hire individuals who are highly motivated self-starters, work well in team-oriented environments, exercise sound judgment and have demonstrated excellence in prior endeavors. The successful candidate should meet the following qualifications:

• 3+ years of experience in software engineering, data engineering, applied AI, machine learning, systems engineering, forward deployed engineering or a similar technical role
• Undergraduate degree with strong academic record; Computer Science, Engineering, Mathematics, Statistics or a related quantitative field preferred
• Strong technical foundation, including hands-on experience with Python, SQL, APIs, data pipelines, databases and modern software development practices
• Experience building with LLMs, AI agents, retrieval workflows, automation tools or enterprise AI applications
• Real estate, private markets, investment management or financial services experience preferred but not required
• Experience working with real-world data across spreadsheets, documents, databases and enterprise systems, with a focus on accuracy, reliability and business usefulness
• Strong analytical skills and commercial judgment, connecting technical work to investment or operational outcomes
• Excellent written and verbal communication skills, including experience explaining technical concepts in clear language t…