AI Engineer Jobs
AI Engineer jobs are open across technology, healthcare, finance, and media, from new-grad to staff and principal levels, with common specializations in large language models, computer vision, and MLOps. Find a role that fits from the openings below and apply directly.
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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 ROLE
Blackstone Credit & Insurance – AI Engineer, Principal
Blackstone Credit & Insurance
Blackstone Credit & Insurance (“BXCI”) is one of the world’s leading credit investors. Our investments span the credit markets, including private investment grade, asset-based lending, public investment grade and high yield, sustainable resources, infrastructure debt, collateralized loan obligations, direct lending and opportunistic credit. We seek to generate attractive risk-adjusted returns for institutional and individual investors by offering companies capital needed to strengthen and grow their businesses. BXCI is also a leading provider of investment management services for insurers, helping those companies better deliver for policyholders through our world-class capabilities in investment grade private credit.
Team Overview:
Blackstone Credit & Insurance AI (“BXCI AI”) identifies and responds to AI-driven disruption risk across the BXCI portfolio. We work directly with portfolio company leadership to assess competitive exposure, identify defensible assets, and develop strategies that reposition businesses for long-term viability. Engagements may involve business model transitions, competitive repositioning, revenue model changes, partnerships, acquisitions, and new channels designed to serve AI agents as customers.
ROLE AND RESPONSIBILITIES
This role is the primary technical partner to the BXCI AI Operating team across the full engagement lifecycle — from initial assessment through strategy development, partner selection, and hands-on execution. The right candidate is a builder with strong business instincts: deeply fluent in the modern AI stack and proficiency in forming rapid, defensible opinions about unfamiliar technical systems.
Responsibilities:
Assessment and Strategy: Assess portfolio companies’ technical reality (architecture, data assets, infrastructure, talent), translate findings into strategic insight, contribute to internal memos, and build rapid prototypes to validate proposed strategic moves.
Tooling and Internal Infrastructure: Build and maintain internal tools that make the team more effective: research automation, assessment templates, tracking systems, and reusable components that accelerate work across the portfolio.
Partner Evaluation and Execution Oversight: Lead technical diligence on implementation partners, monitor their delivery during active engagements, and participate in working sessions with portfolio company teams alongside the AI Executive.
BASIC QUALIFICATIONS
- 5+ years building AI/ML systems in production environments
- Fluency in foundation models, agent frameworks, RAG architectures, vector databases, and evaluation frameworks
- Strong Python engineering skills; experience building APIs and AI-powered applications
- Experience shipping AI-enabled products or features to real users
- Familiarity with cloud infrastructure and production deployment (AWS, GCP, or Azure)
- Proficiency in rapidly assessing unfamiliar technical systems and form defensible architectural views
- Strong written and verbal communication for senior audiences
PREFERRED QUALIFICATIONS
- Experience with Model Context Protocol (MCP) or agent-facing API design
- Familiarity with SaaS or enterprise software businesses
- Prior experience in consulting, investing, or technical diligence
- Exposure to private equity, credit, or portfolio operations environments
No prior financial services experience required.
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
$215,000 - $250,000
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.
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 ROLE
Blackstone Credit & Insurance – AI Engineer, Principal
Blackstone Credit & Insurance
Blackstone Credit & Insurance (“BXCI”) is one of the world’s leading credit investors. Our investments span the credit markets, including private investment grade, asset-based lending, public investment grade and high yield, sustainable resources, infrastructure debt, collateralized loan obligations, direct lending and opportunistic credit. We seek to generate attractive risk-adjusted returns for institutional and individual investors by offering companies capital needed to strengthen and grow their businesses. BXCI is also a leading provider of investment management services for insurers, helping those companies better deliver for policyholders through our world-class capabilities in investment grade private credit.
Team Overview:
Blackstone Credit & Insurance AI (“BXCI AI”) identifies and responds to AI-driven disruption risk across the BXCI portfolio. We work directly with portfolio company leadership to assess competitive exposure, identify defensible assets, and develop strategies that reposition businesses for long-term viability. Engagements may involve business model transitions, competitive repositioning, revenue model changes, partnerships, acquisitions, and new channels designed to serve AI agents as customers.
ROLE AND RESPONSIBILITIES
This role is the primary technical partner to the BXCI AI Operating team across the full engagement lifecycle — from initial assessment through strategy development, partner selection, and hands-on execution. The right candidate is a builder with strong business instincts: deeply fluent in the modern AI stack and proficiency in forming rapid, defensible opinions about unfamiliar technical systems.
Responsibilities:
Assessment and Strategy: Assess portfolio companies’ technical reality (architecture, data assets, infrastructure, talent), translate findings into strategic insight, contribute to internal memos, and build rapid prototypes to validate proposed strategic moves.
Tooling and Internal Infrastructure: Build and maintain internal tools that make the team more effective: research automation, assessment templates, tracking systems, and reusable components that accelerate work across the portfolio.
Partner Evaluation and Execution Oversight: Lead technical diligence on implementation partners, monitor their delivery during active engagements, and participate in working sessions with portfolio company teams alongside the AI Executive.
BASIC QUALIFICATIONS
- 5+ years building AI/ML systems in production environments
- Fluency in foundation models, agent frameworks, RAG architectures, vector databases, and evaluation frameworks
- Strong Python engineering skills; experience building APIs and AI-powered applications
- Experience shipping AI-enabled products or features to real users
- Familiarity with cloud infrastructure and production deployment (AWS, GCP, or Azure)
- Proficiency in rapidly assessing unfamiliar technical systems and form defensible architectural views
- Strong written and verbal communication for senior audiences
PREFERRED QUALIFICATIONS
- Experience with Model Context Protocol (MCP) or agent-facing API design
- Familiarity with SaaS or enterprise software businesses
- Prior experience in consulting, investing, or technical diligence
- Exposure to private equity, credit, or portfolio operations environments
No prior financial services experience required.
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
$215,000 - $250,000
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 8,324+ AI Engineer Jobs
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Find AI Engineer JobsAI Engineer Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- Apple427
- Amazon309
- NVIDIA211
- Google158
- Capital One156
Top Industries Hiring
- Technology & Software3,433
- Electronics & Hardware744
- Consulting & Professional Services657
- Artificial Intelligence483
- Banking & Financial Services455
What Employers Look For
The qualifications that appear most often in AI engineer jobs.
- Proficiency in Python and at least one deep learning framework such as PyTorch or TensorFlow
- Experience designing, training, and deploying machine learning models in production environments
- Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for ML workloads
- Understanding of LLM architectures, prompt engineering, and fine-tuning or RLHF techniques
- Bachelor's or master's degree in computer science, machine learning, statistics, or a related field
- Experience with MLOps tooling including experiment tracking, model versioning, and pipeline orchestration
Tips for Your AI Engineer Job Search
Tailor your resume to each stack
AI engineer job listings vary sharply by stack. A role focused on LLM fine-tuning calls out different tools than one built around real-time inference pipelines. Match your resume's skills section to the exact frameworks each posting names, whether that's PyTorch, JAX, or Ray.
Show models you shipped, not studied
Hiring managers scan for production signals: a model you deployed, latency you reduced, an evaluation benchmark you improved. Link to a GitHub repo, a paper, or a write-up that shows the problem, your approach, and a measurable result. Side projects count if they ran in production.
Apply early to roles that fit
Migrate Mate lists ai engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter openings by your ML domain
Generalist AI engineer titles often hide very narrow scopes: recommendation systems, speech models, or safety and alignment work. Read the responsibilities section, not just the title, to confirm the role sits in your area before you spend time on a tailored application.
Prepare for a system design round
Most senior ai engineer loops include an ML system design interview separate from coding. Practice scoping a training pipeline or an inference architecture end to end: data ingestion, feature engineering, model serving, and monitoring. Talk through tradeoffs explicitly rather than converging on one solution immediately.
Negotiate on compute and data access
Compensation for ai engineers often includes non-salary levers that matter for your work: GPU budget, access to proprietary datasets, and time allocated to research. Ask about these during the offer stage alongside equity and base, especially at startups where infrastructure budgets vary widely.
AI Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most ai engineers?
The companies hiring the most ai engineers right now include Apple, Amazon, and NVIDIA, with the largest share of openings in California, New York, and Texas, based on current listings on Migrate Mate as of June 2026. Demand is concentrated at large technology companies, AI-native startups, and enterprise software firms expanding their AI product lines.
How many ai engineer jobs are remote?
About 30% of ai engineer openings are fully remote or hybrid as of June 2026, making it one of the more remote-accessible engineering roles. Sub-areas like LLM research, MLOps, and AI infrastructure tend to offer the highest share of remote arrangements, while roles tied to hardware, robotics, or on-site data pipelines are more likely to require in-person presence.
How do you become an ai engineer?
You become an ai engineer by building a foundation in linear algebra, probability, and Python, then working through machine learning fundamentals using hands-on projects. From there, specialize in an area such as NLP, computer vision, or MLOps, and build a portfolio of production-style work you can point to. A degree helps open doors, but demonstrated project experience and open-source contributions carry significant weight in hiring decisions.
How do you get hired as an ai engineer with little experience?
Focus on shipping something real: fine-tune an open-source model, build an end-to-end inference API, or contribute to an open-source ML library. Document what you built, what broke, and how you fixed it. Apply to roles with titles like ML engineer intern, junior AI engineer, or AI associate, which explicitly target early-career candidates. A strong project portfolio often outweighs years of experience at companies actively growing their AI teams.
What does the ai engineer interview process look like?
A typical ai engineer loop runs across several stages: an initial recruiter screen, a technical phone interview covering Python and ML fundamentals, a take-home or live coding assessment, and a full onsite or virtual loop. The loop usually includes a machine learning system design round, a coding round focused on data structures and algorithms, and a behavioral interview. Some companies add a paper discussion or a presentation of a past project.
Where can I find and apply to ai engineer jobs?
You can find and apply to ai engineer jobs on Migrate Mate, which lists current openings from across the United States in one place. Search for roles that match your specialization and experience level, then apply directly to each listing that fits.
See All 8,324+ AI Engineer Jobs
Jump back to the full list of openings and apply to any AI engineer role that fits.
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