Blackstone
Real Estate – Innovation, Applied AI Engineer
New York · Mid
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$7,717 more — $137,717 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $137,717 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · New York-Newark-Jersey City, NY-NJ. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Green-card follow-through: 82%
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- Real Estate - Innovation, Applied AI Engineer
- 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.
Responsibilities
- 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
- Blackstone seeks to deliver compelling returns for institutional and individual investors by strengthening the companies in which the firm invests.
Requirements
- Strong technical foundation, including hands-on experience with Python, SQL, APIs, data pipelines, databases and modern software development practices
- The duties and responsibilities described here are not exhaustive and additional assignments, duties, or responsibilities may be required of this position.
- 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;
- Fields marked with a red asterisk * must be completed to be considered for employment (although some can be answered "prefer not to say").
- 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.
- 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
- Experience building with LLMs, AI agents, retrieval workflows, automation tools or enterprise AI applications
- 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
- Marketing Blackstone funds to new or existing clients;
- Supervising or training securities licensed employees;
- Structuring or creating Blackstone funds/products; and
Nice to have
- Undergraduate degree with strong academic record
- Computer Science, Engineering, Mathematics, Statistics or a related quantitative field preferred
- Real estate, private markets, investment management or financial services experience preferred but not required
Compensation
- $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.
Benefits
- 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.
Equal opportunity
- 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).
Visa & Work Authorization
- nd 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 expre
This listing is sourced directly from Blackstone's careers page and normalized into a canonical job model.