Real Estate - Innovation, Applied AI Engineer

About the role

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

Pay and benefits

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 required Undergraduate degree with strong academic record; Computer Science, Engineering, Mathematics, Statistics or a related quantitative field required 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 to business stakeholders The duties and responsibilities described here are not exhaustive and additional assignments, duties, or responsibilities may be required of this position.

Assignments, duties, and responsibilities may be changed at any time, with or without notice, by Blackstone in its sole discretion. Expected annual base salary range: $130,000 - $200,000 Actual base salary within that range will be determined by several components including but not limited to the individual's experience, skills, qualifications and job location.

For roles located outside of the US, please disregard the posted salary bands as these roles will follow a separate compensation process based on local market comparables. Additional compensation and benefits offered in connection with the role consist of comprehensive health benefits, including but not limited to medical, dental, vision, and FSA benefits; paid time off; life insurance; 401(k) plan; and discretionary bonuses.

Certain employees may also be eligible for equity and other incentive compensation at Blackstone's sole discretion. This policy applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, transfer, leave of absence, compensation, and training.

All Blackstone employees, including but not limited to recruiting personnel and hiring managers, are required to abide by this policy.

Depending on the position, you may be required to obtain certain securities licenses if you are in a client facing role and/or if you are engaged in the following: Attending client meetings where you are discussing Blackstone products and/or and client questions; Marketing Blackstone funds to new or existing clients; Supervising or training securities licensed employees; Structuring or creating Blackstone funds/products; and Advising on marketing plans prepared by a sales team or developing and/or contributing information for marketing materials.

Note: The above list is not the exhaustive list of activities requiring securities licenses and there may be roles that require review on a case-by-case basis. Please speak with your Blackstone Recruiting contact with any questions. To submit your application please complete the form below. Fields marked with a red asterisk * must be completed to be considered for employment (although some can be answered "prefer not to say").

Failure to provide this information may compromise the follow-up of your application. When you have finished click Submit at the bottom of this form.