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Real Estate – Innovation, Applied AI Engineer

Blackstone

Company websiteblackstone.com (Blackstone, opens in new tab)

Base salary $130K  to $200K

Employer-published annual base salary, USD. Advertised base range in New York, NY

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  • LocationNew York, NY
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (1 h ago) · observed since

About this job

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 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.

Blackstone is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity or expression, disability, genetic predisposition, veteran or military status, status as a victim of domestic violence, a sex offense or stalking, or any other class or status in accordance with applicable federal, state and local laws. 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.

If you need a reasonable accommodation to complete your application, please contact Human Resources at 212-583-5000 (US), +44 (0)20 7451 4000 (EMEA) or +852 3656 8600 (APAC).

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.

Source: Blackstone on Workday · View original posting (opens in new tab)

Pay in context

This role's base floor ($130,000) is above 19% of the 612 Data & ML roles in New York listed on this site; 10 others list the same floor. Their median floor is $170,000; the middle half runs from $140,000 to $197,300.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 8, 2026.

This range next to 6 other live Blackstone roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Blackstone roles with the nearest advertised base floor
RolePublished base
Real Estate – Innovation, Applied AI Engineer (this listing)$130K - $200K
Private Equity Investor Product Strategy, AVP$130K - $200K
Global Fund Finance – Credit & Insurance, Assistant Vice President$130K - $200K
Global Fund Finance, Assistant Vice President - Blackstone Multi-Asset$130K - $200K
Global Fund Finance – Blackstone Credit, Assistant Vice President$130K - $200K
Blackstone Real Estate Debt Strategies (BREDS) Finance & Operations, AVP$130K - $200K
SEC Perpetual Finance, Assistant Vice President$135K - $200K

Same $100K to $400K scale as every card. All Blackstone roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-10-06
Where this pay comes from

Location as the employer wrote it: New York

$130,000 - $200,000

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.

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