STEM OPT AI Engineer Jobs
AI Engineer roles sit squarely within STEM OPT eligibility, letting you work for up to 36 months total on your F-1 authorization, 12 months of OPT plus a 24-month STEM extension. Your employer must be enrolled in E-Verify, and your degree in computer science, data science, or a related STEM field must align with the CIP code on your I-20.
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Get Access To All JobsINTRODUCTION
Tradeweb is a global leader in electronic trading across asset classes. As financial markets become increasingly interconnected, our technology enables efficient, multi-asset trading on a global scale. We serve more than 3,000 clients in more than 85 countries, including many of the world’s largest banks, asset managers, hedge funds, insurers, corporations, and wealth managers.
Creative collaboration and sharp client focus have helped fuel our organic growth. We facilitated average daily trading volume (ADV) of more than $2.8 trillion over the past four fiscal quarters, topping $3.3 trillion in ADV for the first quarter of 2026.
Since our IPO in 2019, Tradeweb has completed four acquisitions and doubled our revenues – and 2025 was our 26th consecutive year of record revenues.
Tradeweb plays a central role in modernizing market structure by developing innovative trading protocols, embedding analytics into execution, and building technology infrastructure that supports the convergence of traditional and digitally native financial markets. Tradeweb is a great place to work, recognized in 2025 by Forbes as one of America’s Best Companies and by U.S. News & World Report as one of the Best Financial Services Companies to Work For.
Tradeweb Markets LLC ("Tradeweb") is proud to be an EEO Minorities/Females/Protected Veterans/Disabled/Affirmative Action Employer.
GROUP DETAILS
The AI/ML Engineer will lead the design and development of production-grade AI applications across several strategic initiatives. This role is ideal for an engineer who enjoys building scalable systems from the ground up and working across modern AI, automation, and distributed application architectures.
STRATEGIC AI & TRADING APPLICATIONS
Design and deliver next-generation applications supporting real-time workflows, pricing logic, automation, and transaction infrastructure. The role requires strong end-to-end engineering capabilities, including system architecture, backend development, and production deployment.
WORKFLOW AUTOMATION & FINANCIAL PLATFORMS
Build scalable applications that streamline complex operational and financial workflows for institutional users. Responsibilities include integrating intelligent automation, modern data infrastructure, and secure application connectivity within highly regulated environments.
ENTERPRISE AI PRODUCTIVITY TOOLS
Contribute to the development of internal AI-powered productivity solutions that integrate with enterprise systems, communication platforms, and structured data sources. The environment leverages modern LLM architectures, multi-model AI orchestration, and secure data governance frameworks to support intelligent workflows across the organization.
JOB RESPONSIBILITIES
- Build and deliver production-grade AI/ML applications across strategic financial technology and enterprise AI initiatives
- Design scalable backend systems, APIs, data pipelines, and intelligent workflows integrated into enterprise production infrastructure
- Develop next-generation AI-enabled platforms leveraging agentic workflows, orchestration layers, retrieval-augmented generation (RAG), and multi-agent systems
- Partner closely with Product, Front Office, and Technology stakeholders to translate business needs into scalable technical solutions
- Contribute to modern AI engineering infrastructure supporting large language models (LLMs), internal developer tooling, and enterprise AI platforms
- Evaluate and integrate emerging AI frameworks, tools, and machine learning technologies into real-world engineering workflows
- Build secure, governed, and reusable AI solutions within a highly regulated enterprise environment
- Operate with strong end-to-end ownership across architecture, development, deployment, and ongoing enhancement of applications
- Collaborate cross-functionally with engineering leadership, data teams, and business stakeholders to drive high-impact initiatives
- Help shape scalable AI capabilities that improve automation, productivity, and intelligent decision-making across the organization
QUALIFICATIONS
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or another quantitative discipline
- 3–5 years of professional software engineering experience, including hands-on work building and deploying production AI/ML systems
- Experience developing AI-enabled applications leveraging agentic workflows, multi-agent architectures, orchestration frameworks, or autonomous systems
- Strong software engineering fundamentals including system design, API development, cloud infrastructure, data modeling, and scalable production deployment practices
- Practical experience working with modern LLM ecosystems, including large language model APIs, orchestration tooling, vector databases, and retrieval-augmented generation (RAG) architectures
- Proven ability to take AI applications from concept through production deployment, including monitoring, testing, reliability, and iterative improvement
- Strong communication and collaboration skills with the ability to work across engineering, product, and business teams in fast-paced environments
- Familiarity with financial markets, trading systems, digital assets, or institutional financial workflows is a strong plus
- Experience with smart contract platforms, blockchain infrastructure, or decentralized technologies is beneficial
- Exposure to enterprise data platforms and integrating AI systems with governed, structured datasets is preferred
- Background working within AI-focused startups, emerging technology firms, or environments where AI systems are core to the business is highly valued
- Relevant AI/ML certifications, cloud specializations, or modern AI tooling experience are considered a plus
ADDITIONAL INFORMATION
Tradeweb is committed to providing valuable and competitive benefits. In addition to working in our culture of innovation and collaboration, we offer:
- Health Insurance: Highly competitive medical, dental, and vision programs
- Hybrid Environment: Our employees have the flexibility of working in the office and from home.
- Health Care and Dependent Care Flexible Spending Accounts: You may elect to set aside pre-tax earnings to pay for eligible health care and dependent day care expenses for you and your eligible family members.
- Maven Family Building Benefit: Maven offers support for fertility and preconception; pregnancy and post-partum; adoption; surrogacy and pediatrics for children up to age 10. Tradeweb provides a $10,000 lifetime reimbursement towards fertility, egg freezing, adoption, and surrogacy expenses.
- Building Wealth - 401(k) Savings Plan: Employees are immediately eligible for the 401(k) plan. Participants may contribute up to 75% of eligible compensation into a traditional 401(k) and/or Roth 401(k). Tradeweb will match 100% of the first 4% of compensation that you contribute.
- The current pay range for this role if performed in the city of New York is currently $150,000 to $200,000 per year, based on a regular, full-time schedule. The amount of pay offered will be determined by a number of factors, including but not limited to qualifications, market data, geographic location, and internal guidelines.
OTHER BENEFIT PROGRAMS
- Pre-Tax Commuter Benefits Program
- ARAG Legal Services
- Employee Assistance Program
- Tuition Reimbursement
- Financial Wellness Tools
- Travel Assistance Benefits
- Pet Insurance
- Corporate Gym Subsidies
- Wellness Perks
- Paid Time Off and Parental Leave
INTRODUCTION
Tradeweb is a global leader in electronic trading across asset classes. As financial markets become increasingly interconnected, our technology enables efficient, multi-asset trading on a global scale. We serve more than 3,000 clients in more than 85 countries, including many of the world’s largest banks, asset managers, hedge funds, insurers, corporations, and wealth managers.
Creative collaboration and sharp client focus have helped fuel our organic growth. We facilitated average daily trading volume (ADV) of more than $2.8 trillion over the past four fiscal quarters, topping $3.3 trillion in ADV for the first quarter of 2026.
Since our IPO in 2019, Tradeweb has completed four acquisitions and doubled our revenues – and 2025 was our 26th consecutive year of record revenues.
Tradeweb plays a central role in modernizing market structure by developing innovative trading protocols, embedding analytics into execution, and building technology infrastructure that supports the convergence of traditional and digitally native financial markets. Tradeweb is a great place to work, recognized in 2025 by Forbes as one of America’s Best Companies and by U.S. News & World Report as one of the Best Financial Services Companies to Work For.
Tradeweb Markets LLC ("Tradeweb") is proud to be an EEO Minorities/Females/Protected Veterans/Disabled/Affirmative Action Employer.
GROUP DETAILS
The AI/ML Engineer will lead the design and development of production-grade AI applications across several strategic initiatives. This role is ideal for an engineer who enjoys building scalable systems from the ground up and working across modern AI, automation, and distributed application architectures.
STRATEGIC AI & TRADING APPLICATIONS
Design and deliver next-generation applications supporting real-time workflows, pricing logic, automation, and transaction infrastructure. The role requires strong end-to-end engineering capabilities, including system architecture, backend development, and production deployment.
WORKFLOW AUTOMATION & FINANCIAL PLATFORMS
Build scalable applications that streamline complex operational and financial workflows for institutional users. Responsibilities include integrating intelligent automation, modern data infrastructure, and secure application connectivity within highly regulated environments.
ENTERPRISE AI PRODUCTIVITY TOOLS
Contribute to the development of internal AI-powered productivity solutions that integrate with enterprise systems, communication platforms, and structured data sources. The environment leverages modern LLM architectures, multi-model AI orchestration, and secure data governance frameworks to support intelligent workflows across the organization.
JOB RESPONSIBILITIES
- Build and deliver production-grade AI/ML applications across strategic financial technology and enterprise AI initiatives
- Design scalable backend systems, APIs, data pipelines, and intelligent workflows integrated into enterprise production infrastructure
- Develop next-generation AI-enabled platforms leveraging agentic workflows, orchestration layers, retrieval-augmented generation (RAG), and multi-agent systems
- Partner closely with Product, Front Office, and Technology stakeholders to translate business needs into scalable technical solutions
- Contribute to modern AI engineering infrastructure supporting large language models (LLMs), internal developer tooling, and enterprise AI platforms
- Evaluate and integrate emerging AI frameworks, tools, and machine learning technologies into real-world engineering workflows
- Build secure, governed, and reusable AI solutions within a highly regulated enterprise environment
- Operate with strong end-to-end ownership across architecture, development, deployment, and ongoing enhancement of applications
- Collaborate cross-functionally with engineering leadership, data teams, and business stakeholders to drive high-impact initiatives
- Help shape scalable AI capabilities that improve automation, productivity, and intelligent decision-making across the organization
QUALIFICATIONS
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or another quantitative discipline
- 3–5 years of professional software engineering experience, including hands-on work building and deploying production AI/ML systems
- Experience developing AI-enabled applications leveraging agentic workflows, multi-agent architectures, orchestration frameworks, or autonomous systems
- Strong software engineering fundamentals including system design, API development, cloud infrastructure, data modeling, and scalable production deployment practices
- Practical experience working with modern LLM ecosystems, including large language model APIs, orchestration tooling, vector databases, and retrieval-augmented generation (RAG) architectures
- Proven ability to take AI applications from concept through production deployment, including monitoring, testing, reliability, and iterative improvement
- Strong communication and collaboration skills with the ability to work across engineering, product, and business teams in fast-paced environments
- Familiarity with financial markets, trading systems, digital assets, or institutional financial workflows is a strong plus
- Experience with smart contract platforms, blockchain infrastructure, or decentralized technologies is beneficial
- Exposure to enterprise data platforms and integrating AI systems with governed, structured datasets is preferred
- Background working within AI-focused startups, emerging technology firms, or environments where AI systems are core to the business is highly valued
- Relevant AI/ML certifications, cloud specializations, or modern AI tooling experience are considered a plus
ADDITIONAL INFORMATION
Tradeweb is committed to providing valuable and competitive benefits. In addition to working in our culture of innovation and collaboration, we offer:
- Health Insurance: Highly competitive medical, dental, and vision programs
- Hybrid Environment: Our employees have the flexibility of working in the office and from home.
- Health Care and Dependent Care Flexible Spending Accounts: You may elect to set aside pre-tax earnings to pay for eligible health care and dependent day care expenses for you and your eligible family members.
- Maven Family Building Benefit: Maven offers support for fertility and preconception; pregnancy and post-partum; adoption; surrogacy and pediatrics for children up to age 10. Tradeweb provides a $10,000 lifetime reimbursement towards fertility, egg freezing, adoption, and surrogacy expenses.
- Building Wealth - 401(k) Savings Plan: Employees are immediately eligible for the 401(k) plan. Participants may contribute up to 75% of eligible compensation into a traditional 401(k) and/or Roth 401(k). Tradeweb will match 100% of the first 4% of compensation that you contribute.
- The current pay range for this role if performed in the city of New York is currently $150,000 to $200,000 per year, based on a regular, full-time schedule. The amount of pay offered will be determined by a number of factors, including but not limited to qualifications, market data, geographic location, and internal guidelines.
OTHER BENEFIT PROGRAMS
- Pre-Tax Commuter Benefits Program
- ARAG Legal Services
- Employee Assistance Program
- Tuition Reimbursement
- Financial Wellness Tools
- Travel Assistance Benefits
- Pet Insurance
- Corporate Gym Subsidies
- Wellness Perks
- Paid Time Off and Parental Leave
See all 1,663+ STEM OPT AI Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT AI Engineer Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization as an AI Engineer
Verify your CIP code before applying
Check that your degree's CIP code on your I-20 maps to a recognized STEM field. Computer science, electrical engineering, and statistics all qualify, but your DSO must confirm the match before your STEM OPT application goes to USCIS.
Confirm E-Verify enrollment before accepting offers
Ask the recruiter for the company's E-Verify employer identification number before signing anything. Any employer not enrolled in E-Verify legally cannot employ you on a STEM OPT extension, regardless of how enthusiastic they are about hiring you.
Target AI roles at E-Verify registered companies using Migrate Mate
Search AI Engineer positions on Migrate Mate, which filters for employers already enrolled in E-Verify. This cuts the time you'd otherwise spend vetting each company individually before deciding whether to apply.
Negotiate your I-983 training plan scope early
Your I-983 must show how the AI Engineer role provides practical training in your STEM field. Bring a draft to the offer stage and ask the hiring manager to confirm the job duties align with it, revisions after you start can delay your extension.
Check prevailing wage before evaluating offers
Use the OFLC Wage Search to look up the prevailing wage for AI Engineer roles under the relevant SOC code in your metro area. Your offer should meet or exceed this figure, since employers will certify wage compliance if they later sponsor your H-1B visa.
Apply 90 days before your OPT end date
USCIS requires your STEM OPT extension application to be filed while your initial OPT is still valid. Missing the 90-day filing window means losing work authorization continuity, so sync your application timeline with your DSO well in advance.
Frequently Asked Questions
Does an AI Engineer role qualify for the STEM OPT extension?
Yes, AI Engineer positions typically qualify because they require applied knowledge in computer science, machine learning, or a related STEM discipline. Your degree's CIP code on your I-20 must correspond to a STEM-designated field as recognized by the Department of Homeland Security. Your DSO can confirm whether your specific degree and job offer meet the criteria before you apply.
How do I verify that an AI Engineer employer is enrolled in E-Verify?
Ask the employer directly for their E-Verify employer identification number or request confirmation from HR before accepting an offer. E-Verify enrollment is a federal requirement for all STEM OPT employers, not optional. You can also search the E-Verify employer search tool by company name to confirm enrollment status. If a company isn't enrolled, they can't legally employ you on a STEM OPT extension.
What goes into an I-983 training plan for an AI Engineer role?
Your I-983 must describe how the AI Engineer position provides structured practical training in your STEM field, including the specific skills you'll develop, the supervision you'll receive, and how the role relates to your degree. AI-specific duties like model development, data pipeline engineering, or MLOps implementation all support a strong training plan. Both you and your employer sign the form, and your DSO must approve it before USCIS will process your extension.
What happens to my work authorization if my H-1B is selected in the lottery during my STEM OPT period?
If your H-1B is selected and your employer files a timely change-of-status petition, cap-gap protection extends your STEM OPT work authorization through September 30 of that year, even if your EAD expires before then. You can continue working for the same employer during this period. USCIS requires your OPT to be valid at the time of the H-1B filing for cap-gap to apply.
Where can I find AI Engineer jobs that accept STEM OPT students?
Migrate Mate lists AI Engineer roles at employers already enrolled in E-Verify, so you're not spending time applying to companies that can't legally hire you on a STEM OPT extension. You can filter by role type and authorization requirements to surface positions where your F-1 status is a workable fit from the start of the application process.