Applied AI Engineer Jobs in USA with Visa Sponsorship
Applied AI Engineers qualify for H-1B visa, O-1A, and EB-2 NIW visas based on their specialized machine learning expertise. Most positions require a computer science or related STEM degree, though the 3-for-1 experience rule can substitute. Major tech companies actively sponsor these roles. For detailed occupation requirements, see the O*NET profile.
Find Applied AI Engineer JobsOverview
Showing 5 of 9,772+ Applied AI Engineer jobs










See all 9,772+ Applied AI Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Applied AI Engineer roles.
Get Access To All Jobs
INTRODUCTION
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.
ABOUT THE JOB
Title: Senior Associate
Location: New York, NY
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).
Responsibilities:
Blackstone Real Estate has one of the richest proprietary real estate data environments in the world. Blackstone Real Estate is 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 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.
COMPENSATION
- 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.
See all 9,772+ Applied AI Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Applied AI Engineer roles.
Get Access To All JobsTips for Finding Visa Sponsorship as an Applied AI Engineer
Target ML-focused companies with established sponsorship programs
Companies like Google, Meta, Microsoft, and NVIDIA regularly sponsor Applied AI Engineers. Their dedicated immigration teams understand the specialized nature of ML roles and visa requirements.
Emphasize your specialized AI/ML training and certifications
Highlight advanced coursework in neural networks, deep learning frameworks, and MLOps. Specialized training demonstrates the technical expertise required for H-1B specialty occupation requirements.
Document your experience with production ML systems
Experience deploying models at scale, optimizing inference performance, and building ML pipelines shows specialized knowledge that supports visa petitions and distinguishes you from general software roles.
Consider the EB-2 NIW pathway for advanced AI research
If you have publications, patents, or contributions to open-source AI frameworks, the National Interest Waiver provides a direct green card path without employer sponsorship.
Apply early in the fiscal year for H-1B cap-subject positions
H-1B registration opens in March for April lottery. Cap-exempt employers like universities and research institutions offer year-round opportunities without lottery constraints.
Build a portfolio showcasing deployed AI applications
GitHub repositories, technical blogs, and deployed models demonstrate your specialized expertise. This documentation strengthens both job applications and visa petition evidence requirements.
Frequently Asked Questions
Do Applied AI Engineers qualify for H-1B visa sponsorship?
Yes, Applied AI Engineers typically qualify for H-1B visa sponsorship as the role requires specialized knowledge in machine learning, neural networks, and AI frameworks. You'll need a bachelor's degree in computer science, mathematics, engineering, or related field. The position must demonstrate specialty occupation requirements through complex AI/ML responsibilities.
Can I get sponsored without a computer science degree?
Yes, degrees in mathematics, statistics, physics, or engineering can qualify if combined with relevant AI/ML coursework or experience. The 3-for-1 rule allows three years of specialized AI experience to substitute for one year of education. Certifications in TensorFlow, PyTorch, or cloud ML platforms strengthen your case.
How to find Applied AI Engineer jobs with visa sponsorship?
To find Applied AI Engineer jobs with visa sponsorship, use Migrate Mate, which specializes in connecting international talent with sponsoring employers. Focus on tech companies, startups, and consulting firms that commonly hire AI engineers for H-1B, L-1 visa, or O-1 visas. These roles are in high demand across industries like healthcare, finance, and autonomous vehicles.
Which visa is best for Applied AI Engineers with research experience?
The EB-2 NIW (National Interest Waiver) is ideal if you have AI research publications, patents, or contributions to significant ML projects. It provides a direct path to a green card without employer sponsorship. O-1A visas work for those with extraordinary ability in AI research or industry recognition.
What's the H-1B approval rate for AI and ML positions?
Computer occupations, including AI/ML roles, have approximately 85-90% H-1B approval rates when properly documented. Denials typically occur when job duties aren't sufficiently specialized or degree requirements aren't clearly established. Strong LCA documentation and detailed role descriptions improve approval odds significantly.
Can Applied AI Engineers transfer H-1B status between employers?
Yes, H-1B portability allows you to start working for a new employer once they file your H-1B transfer petition (Form I-129). You don't need to wait for approval. The new position must still qualify as a specialty occupation with appropriate degree requirements and AI/ML responsibilities.
What is the prevailing wage requirement for sponsored Applied AI Engineer jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.