AI Specialist Green Card Jobs
AI Specialist roles at U.S. companies qualify for EB-2 sponsorship when the position requires an advanced degree in computer science, machine learning, or a related field, and EB-3 for bachelor's-level candidates. Employers file PERM labor certification with DOL before petitioning USCIS, permanently sponsoring you for lawful U.S. residency.
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Get Access To All JobsINTRODUCTION
Nasdaq eVestment™ is the leading institutional investment data and analytics platform—connecting asset managers, consultants, and asset owners through a centralized ecosystem of trusted intelligence and powering $90T+ in smarter, faster investment decisions through proprietary data and AI/ML‑driven workflows.
As a Senior Applied AI Specialist reporting to VP, Head of eVestment Enterprise Revenue, you'll play a critical role in helping Nasdaq's largest institutional clients design, integrate, and deploy production-ready AI solutions powered by eVestment data. You'll serve as a trusted technical advisor, translating AI ambition into measurable business value for global asset managers, consultants, and asset owners.
You'll thrive in this position if you're collaborative, technically credible, and bring a passion for solving complex problems in a fast-paced, high-impact environment where AI is reshaping how $90T+ in investment decisions are made.
KEY RESPONSIBILITIES
- Lead end-to-end technical delivery for enterprise AI engagements, from discovery and architecture through production deployment and optimization.
- Translate client workflows and business objectives into scalable, enterprise-ready AI/ML architectures using Nasdaq eVestment data.
- Serve as the senior technical advisor guiding clients through system design, model integration, data pipelines, and deployment strategies.
- Partner with client engineering, data, security, and compliance teams to navigate enterprise requirements and remove delivery blockers.
- Drive adoption and expansion by collaborating with Sales and Client Success to deepen relationships and identify new AI use cases.
REQUIRED QUALIFICATIONS
- Bachelor's degree in computer science, engineering, applied mathematics, or equivalent practical experience.
- 5+ years in a technical, client-facing role such as Solutions Architect, Data Scientist, or Technical Account Manager.
- Hands-on experience delivering AI, ML, or LLM-based systems into enterprise production environments, ideally in financial services or regulated industries.
- Strong Python proficiency with experience building and supporting production-grade AI systems.
- Familiarity with AI data platforms such as Databricks, Snowflake, Azure, or Redshift, and LLM ecosystems including OpenAI and Anthropic.
PREFERRED QUALIFICATIONS
- Relevant cloud, data, or AI certifications (e.g., AWS, Azure, Databricks).
- Experience with data modeling, analytics architectures, and warehouse design patterns.
- Strong understanding of data governance, security, ethics, and responsible AI deployment.
LOCATION
This position will be located in Atlanta, Dallas or Boston and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates.
WHAT WE OFFER
We’re proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq’s overall success.
In addition to base salary, Nasdaq offers significant other compensation (annual bonus/commissions and equity), benefits, and opportunity for growth. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, business needs and market demands.
Nasdaq’s programs and rewards are intended to allow our employees to:
- Secure Wealth: 401(k) program with 6% employer match, Employee Stock Purchase Program with 15% discount, Student loan repayment program up to $10k, Company paid life and disability plans, Generous paid time off
- Prioritize Health: Comprehensive medical, dental and vision coverage, Health spending account with employer contribution, Paid flex days to support mental wellbeing, Gym membership discounts
- Care for Family: Hybrid home/office schedule (for most positions), Paid parental leave, Fertility benefits, Paid bereavement leave
- Connect with Community: Company gift matching program, Employee resource groups, Paid volunteer days
- Grow Career: Education Assistance Program, Robust job skills training and Professional development opportunities
Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
INTRODUCTION
Nasdaq eVestment™ is the leading institutional investment data and analytics platform—connecting asset managers, consultants, and asset owners through a centralized ecosystem of trusted intelligence and powering $90T+ in smarter, faster investment decisions through proprietary data and AI/ML‑driven workflows.
As a Senior Applied AI Specialist reporting to VP, Head of eVestment Enterprise Revenue, you'll play a critical role in helping Nasdaq's largest institutional clients design, integrate, and deploy production-ready AI solutions powered by eVestment data. You'll serve as a trusted technical advisor, translating AI ambition into measurable business value for global asset managers, consultants, and asset owners.
You'll thrive in this position if you're collaborative, technically credible, and bring a passion for solving complex problems in a fast-paced, high-impact environment where AI is reshaping how $90T+ in investment decisions are made.
KEY RESPONSIBILITIES
- Lead end-to-end technical delivery for enterprise AI engagements, from discovery and architecture through production deployment and optimization.
- Translate client workflows and business objectives into scalable, enterprise-ready AI/ML architectures using Nasdaq eVestment data.
- Serve as the senior technical advisor guiding clients through system design, model integration, data pipelines, and deployment strategies.
- Partner with client engineering, data, security, and compliance teams to navigate enterprise requirements and remove delivery blockers.
- Drive adoption and expansion by collaborating with Sales and Client Success to deepen relationships and identify new AI use cases.
REQUIRED QUALIFICATIONS
- Bachelor's degree in computer science, engineering, applied mathematics, or equivalent practical experience.
- 5+ years in a technical, client-facing role such as Solutions Architect, Data Scientist, or Technical Account Manager.
- Hands-on experience delivering AI, ML, or LLM-based systems into enterprise production environments, ideally in financial services or regulated industries.
- Strong Python proficiency with experience building and supporting production-grade AI systems.
- Familiarity with AI data platforms such as Databricks, Snowflake, Azure, or Redshift, and LLM ecosystems including OpenAI and Anthropic.
PREFERRED QUALIFICATIONS
- Relevant cloud, data, or AI certifications (e.g., AWS, Azure, Databricks).
- Experience with data modeling, analytics architectures, and warehouse design patterns.
- Strong understanding of data governance, security, ethics, and responsible AI deployment.
LOCATION
This position will be located in Atlanta, Dallas or Boston and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates.
WHAT WE OFFER
We’re proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq’s overall success.
In addition to base salary, Nasdaq offers significant other compensation (annual bonus/commissions and equity), benefits, and opportunity for growth. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, business needs and market demands.
Nasdaq’s programs and rewards are intended to allow our employees to:
- Secure Wealth: 401(k) program with 6% employer match, Employee Stock Purchase Program with 15% discount, Student loan repayment program up to $10k, Company paid life and disability plans, Generous paid time off
- Prioritize Health: Comprehensive medical, dental and vision coverage, Health spending account with employer contribution, Paid flex days to support mental wellbeing, Gym membership discounts
- Care for Family: Hybrid home/office schedule (for most positions), Paid parental leave, Fertility benefits, Paid bereavement leave
- Connect with Community: Company gift matching program, Employee resource groups, Paid volunteer days
- Grow Career: Education Assistance Program, Robust job skills training and Professional development opportunities
Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
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Get Access To All JobsTips for Finding Green Card Sponsorship as an AI Specialist
Document your AI credentials before applying
Gather transcripts, publications, patents, and performance reviews that map directly to the DOL's specialty occupation definition. PERM audits frequently target AI roles because job duties can overlap with general software engineering, so concrete documentation of machine learning specialization strengthens your case.
Target employers with active PERM filings
Search the DOL PERM disclosure data for companies that have certified AI Specialist or Machine Learning Engineer positions in the past two years. Recent PERM approvals in your exact role category signal that a company already has the internal process and legal support to sponsor you.
Use Migrate Mate to filter green card sponsoring roles
Search AI Specialist jobs on Migrate Mate and filter by EB-2 or EB-3 sponsorship availability. This surfaces employers who have confirmed green card sponsorship history, saving you from applying to companies whose recruiters will later say sponsorship isn't available for your level.
Clarify sponsorship scope during offer negotiation
Ask specifically whether the offer includes PERM labor certification and I-140 filing, not just H-1B transfer. Some employers sponsor temporary status but decline to initiate green card proceedings, and you want that commitment in writing before you accept and give notice to your current employer.
Verify your role's wage level against OFLC Wage Search
PERM requires your offered salary to meet the prevailing wage for your specific SOC code and work location. AI Specialist duties often map to multiple SOC codes with different wage floors, so confirming the correct classification with your employer's attorney before the labor certification is filed avoids preventable denials.
Understand EB-2 versus EB-3 classification for AI roles
If your role requires a master's degree or you hold a U.S. master's equivalent, EB-2 without the PERM step may be available through a National Interest Waiver self-petition. EB-3 professional is the fallback for bachelor's-level AI roles and carries no numerical cap concerns for most countries outside India and China.
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Find AI Specialist JobsAI Specialist Green Card Sponsorship: Frequently Asked Questions
Do AI Specialist roles qualify for EB-2 or EB-3 green card sponsorship?
Most AI Specialist positions qualify for EB-2 when the employer's minimum requirement is a master's degree in computer science, machine learning, or a related field. Roles requiring only a bachelor's degree fall under EB-3 professional. The employer's stated job requirements at the time of the PERM filing, not your personal credentials, determine the category, so the job description language matters significantly.
How does PERM green card sponsorship differ from H-1B for AI Specialists?
H-1B is a temporary status tied to a specific employer with a six-year base limit and an annual lottery. PERM-based sponsorship leads to permanent residency with no lottery and no expiration. The tradeoff is time: PERM labor certification plus I-140 adjudication typically takes one to three years before you reach the final adjustment of status stage, depending on your country of birth and USCIS processing backlogs.
Which employers regularly sponsor green cards for AI Specialist positions?
Technology companies, financial services firms, healthcare systems, and large research-driven organizations have the most consistent PERM filing history for AI roles. Rather than guessing, search the DOL PERM disclosure data by job title and employer to see certified applications in your specialty. Migrate Mate also lets you filter AI Specialist listings by green card sponsorship history so you can focus on employers with a confirmed track record.
Can I switch employers after my I-140 is approved but before I get my green card?
Yes, under AC21 portability rules, once your I-140 is approved and your priority date has been pending for 180 days or more, you can change employers as long as the new role is in the same or a similar occupational classification. For AI Specialists, a move from one machine learning engineering role to a comparable one at a different company generally satisfies the similarity requirement, but you should confirm the classification match with an immigration attorney before accepting.
What does the PERM labor certification process involve for AI Specialist jobs?
The employer must conduct a DOL-supervised recruitment process to demonstrate that no qualified U.S. worker is available for the position. This includes posting the job through specific channels, documenting applicant rejections, and filing ETA Form 9089 with DOL. For AI Specialist roles, the job duties description must be precise because vague or overly broad language frequently triggers audits. USCIS then reviews the approved PERM when the employer files the I-140 immigrant petition.
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