Artificial Intelligence Scientist Green Card Jobs
Artificial Intelligence Scientist roles qualify for EB-2 green card sponsorship when the position requires an advanced degree in computer science, machine learning, or a related field. Employers file PERM labor certification with DOL before sponsoring permanent residency, and research-focused AI roles often support EB-2 National Interest Waiver eligibility without a specific job offer.
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Get Access To All JobsINTRODUCTION
At World Wide Technology, we work together to make a new world happen. Our important work benefits our clients and partners as much as it does our people and communities across the globe. WWT is dedicated to achieving its mission of creating a profitable growth company that is also a Great Place to Work for All. We achieve this through our world-class culture, generous benefits, and by delivering cutting-edge technology solutions for our clients.
Founded in 1990, WWT is a global technology solutions provider leading the AI and Digital Revolution. WWT combines the power of strategy, execution, and partnership to accelerate digital transformational outcomes for organizations around the globe. Through its Advanced Technology Center, a collaborative ecosystem of the world's most advanced hardware and software solutions, WWT helps clients and partners conceptualize, test, and validate innovative technology solutions for the best business outcomes and then deploys them at scale through its global warehousing, distribution, and integration capabilities.
With over 12,000 employees across WWT and Softchoice and more than 60 locations around the world, WWT's culture, built on a set of core values and established leadership philosophies, has been recognized 14 years in a row by Fortune and Great Place to Work® for its unique blend of determination, innovation, and creating a great place to work for all.
Want to work with highly motivated individuals on high-performance teams? Join WWT today!
ROLE AND RESPONSIBILITIES
The emphasis of this role is to be the dedicated technical lead for developing WWT's defensive AI operations, specifically focused on utilizing massive open-source models to solve the vulnerability management problem at an enterprise scale.
This position requires an elite technical leader who is adept at advanced machine learning, can speak to complex exploit mechanics, and ensure our defensive posture rapidly evolves to keep pace with AI-accelerated offense and frontier-model-class intelligence.
This role will also involve guiding the organization away from manual triage by anticipating exploit chaining and integrating the largest open-source AI models to ensure our defensive strategies remain ahead of advanced adversaries.
- Partner with the GS&A Cyber Practices to utilize to model and evaluate attack paths and how AI can help defenders operate at the speed of attackers.
- Deliver measurable outcomes to customers and partners as to how AI and ML-based science improves cybersecurity defenses.
- Participate in industry forums on the topic of using AI for defense and be able to perform technical demonstrations of how AI is used for offensive operations.
- Architect and deploy advanced machine learning models that analyze, score, and prioritize vulnerabilities at an unprecedented scale.
- Continuously evaluate, integrate, and fine-tune frontier models to match and counter frontier-model-class attack methodologies and AI-driven exploit chaining.
- Shift organizational operations entirely away from manual triage by providing automated, model-assisted workflows for immediate remediation guidance.
- Ingest and model complex threat data, scanning code with open-source models to train systems on handling the exploding volume of automated vulnerability reports.
- Dedicate 100% of operational bandwidth to defensive cybersecurity measures, using AI to neutralize emerging threats before they can be weaponized against our customers.
- Act as the technical expert for data architecture, statistical modeling, and advanced machine learning applied to massive enterprise datasets.
- Drive the vulnerability prioritization problem space autonomously from concept to customer-facing deployment without distraction.
- Apply deep cybersecurity domain knowledge, specifically regarding vulnerability management, exploit mechanics, and patch gap mitigation, to all AI models.
BASIC QUALIFICATIONS
- Education: Master's degree or Ph.D. in Computer Science, Data Science, Artificial Intelligence, Cybersecurity, or a related highly technical discipline.
- Applied Experience: 8+ years of progressive experience in data science, machine learning, or AI engineering, with a minimum of 3 years directly embedded in cybersecurity, threat intelligence, or vulnerability management.
- Open-Source AI & LLM Mastery: Deep, hands-on expertise with the Hugging Face ecosystem (Transformers, Accelerate, PEFT). Proven track record of deploying, quantizing, and fine-tuning (e.g., LoRA, QLoRA) large open-source models (Llama, Mistral, Qwen) for production environments.
- Cybersecurity Expertise: Comprehensive understanding of the vulnerability lifecycle, patch gap analysis, exploit chaining, and standard industry frameworks (MITRE ATT&CK, CISA KEV, EPSS, CVSS). You must understand how an adversary thinks to build models that stop them.
- Core ML Frameworks: Expert-level coding proficiency in Python and leading deep learning frameworks, specifically PyTorch.
- Infrastructure & Compute: Extensive experience operating in high-performance computing environments. You must be adept at managing GPU workloads, CUDA optimization, and deploying models on distributed infrastructure (e.g., Kubernetes, Ray, vLLM).
- Data Architecture: Strong capability in building high-throughput data pipelines to ingest, clean, and process massive datasets of threat intelligence, code repositories, and telemetry.
- Autonomy & Execution: Demonstrated ability to own a complex problem space entirely, translating theoretical data science concepts into highly scalable, real-world defensive tools at an accelerated pace.
COMPENSATION
Certain states and localities require employers to post a reasonable estimate of salary range. A reasonable estimate of the current base pay range for this position is $240,000.00 to $260,000.00 annually. Actual salary will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base pay.
BENEFITS
The well-being of WWT employees is essential. So, when it comes to our benefits package, WWT has one of the best. We offer the following benefits to all full-time employees:
- Health and Wellbeing: Health, Dental, and Vision Care, Onsite Health Centers, Employee Assistance Program, Wellness program
- Financial Benefits: Competitive pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Tuition Reimbursement
- Paid Time Off: PTO and Sick Leave (starting at 20 days per year) & Holidays (10 per year), Parental Leave, Military Leave, Bereavement
- Additional Perks: Nursing Mothers Benefits, Voluntary Legal, Pet Insurance, Employee Discount Program
We strive to create an environment where all employees are empowered to succeed based on their skills, performance, and dedication. Our goal is to cultivate a culture of belonging that encourages innovation, collaboration, and respect for all team members, ensuring that WWT remains a great place to work for All!
If you have any questions or concerns about this posting, please email taposting@wwt.com.
INTRODUCTION
At World Wide Technology, we work together to make a new world happen. Our important work benefits our clients and partners as much as it does our people and communities across the globe. WWT is dedicated to achieving its mission of creating a profitable growth company that is also a Great Place to Work for All. We achieve this through our world-class culture, generous benefits, and by delivering cutting-edge technology solutions for our clients.
Founded in 1990, WWT is a global technology solutions provider leading the AI and Digital Revolution. WWT combines the power of strategy, execution, and partnership to accelerate digital transformational outcomes for organizations around the globe. Through its Advanced Technology Center, a collaborative ecosystem of the world's most advanced hardware and software solutions, WWT helps clients and partners conceptualize, test, and validate innovative technology solutions for the best business outcomes and then deploys them at scale through its global warehousing, distribution, and integration capabilities.
With over 12,000 employees across WWT and Softchoice and more than 60 locations around the world, WWT's culture, built on a set of core values and established leadership philosophies, has been recognized 14 years in a row by Fortune and Great Place to Work® for its unique blend of determination, innovation, and creating a great place to work for all.
Want to work with highly motivated individuals on high-performance teams? Join WWT today!
ROLE AND RESPONSIBILITIES
The emphasis of this role is to be the dedicated technical lead for developing WWT's defensive AI operations, specifically focused on utilizing massive open-source models to solve the vulnerability management problem at an enterprise scale.
This position requires an elite technical leader who is adept at advanced machine learning, can speak to complex exploit mechanics, and ensure our defensive posture rapidly evolves to keep pace with AI-accelerated offense and frontier-model-class intelligence.
This role will also involve guiding the organization away from manual triage by anticipating exploit chaining and integrating the largest open-source AI models to ensure our defensive strategies remain ahead of advanced adversaries.
- Partner with the GS&A Cyber Practices to utilize to model and evaluate attack paths and how AI can help defenders operate at the speed of attackers.
- Deliver measurable outcomes to customers and partners as to how AI and ML-based science improves cybersecurity defenses.
- Participate in industry forums on the topic of using AI for defense and be able to perform technical demonstrations of how AI is used for offensive operations.
- Architect and deploy advanced machine learning models that analyze, score, and prioritize vulnerabilities at an unprecedented scale.
- Continuously evaluate, integrate, and fine-tune frontier models to match and counter frontier-model-class attack methodologies and AI-driven exploit chaining.
- Shift organizational operations entirely away from manual triage by providing automated, model-assisted workflows for immediate remediation guidance.
- Ingest and model complex threat data, scanning code with open-source models to train systems on handling the exploding volume of automated vulnerability reports.
- Dedicate 100% of operational bandwidth to defensive cybersecurity measures, using AI to neutralize emerging threats before they can be weaponized against our customers.
- Act as the technical expert for data architecture, statistical modeling, and advanced machine learning applied to massive enterprise datasets.
- Drive the vulnerability prioritization problem space autonomously from concept to customer-facing deployment without distraction.
- Apply deep cybersecurity domain knowledge, specifically regarding vulnerability management, exploit mechanics, and patch gap mitigation, to all AI models.
BASIC QUALIFICATIONS
- Education: Master's degree or Ph.D. in Computer Science, Data Science, Artificial Intelligence, Cybersecurity, or a related highly technical discipline.
- Applied Experience: 8+ years of progressive experience in data science, machine learning, or AI engineering, with a minimum of 3 years directly embedded in cybersecurity, threat intelligence, or vulnerability management.
- Open-Source AI & LLM Mastery: Deep, hands-on expertise with the Hugging Face ecosystem (Transformers, Accelerate, PEFT). Proven track record of deploying, quantizing, and fine-tuning (e.g., LoRA, QLoRA) large open-source models (Llama, Mistral, Qwen) for production environments.
- Cybersecurity Expertise: Comprehensive understanding of the vulnerability lifecycle, patch gap analysis, exploit chaining, and standard industry frameworks (MITRE ATT&CK, CISA KEV, EPSS, CVSS). You must understand how an adversary thinks to build models that stop them.
- Core ML Frameworks: Expert-level coding proficiency in Python and leading deep learning frameworks, specifically PyTorch.
- Infrastructure & Compute: Extensive experience operating in high-performance computing environments. You must be adept at managing GPU workloads, CUDA optimization, and deploying models on distributed infrastructure (e.g., Kubernetes, Ray, vLLM).
- Data Architecture: Strong capability in building high-throughput data pipelines to ingest, clean, and process massive datasets of threat intelligence, code repositories, and telemetry.
- Autonomy & Execution: Demonstrated ability to own a complex problem space entirely, translating theoretical data science concepts into highly scalable, real-world defensive tools at an accelerated pace.
COMPENSATION
Certain states and localities require employers to post a reasonable estimate of salary range. A reasonable estimate of the current base pay range for this position is $240,000.00 to $260,000.00 annually. Actual salary will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base pay.
BENEFITS
The well-being of WWT employees is essential. So, when it comes to our benefits package, WWT has one of the best. We offer the following benefits to all full-time employees:
- Health and Wellbeing: Health, Dental, and Vision Care, Onsite Health Centers, Employee Assistance Program, Wellness program
- Financial Benefits: Competitive pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Tuition Reimbursement
- Paid Time Off: PTO and Sick Leave (starting at 20 days per year) & Holidays (10 per year), Parental Leave, Military Leave, Bereavement
- Additional Perks: Nursing Mothers Benefits, Voluntary Legal, Pet Insurance, Employee Discount Program
We strive to create an environment where all employees are empowered to succeed based on their skills, performance, and dedication. Our goal is to cultivate a culture of belonging that encourages innovation, collaboration, and respect for all team members, ensuring that WWT remains a great place to work for All!
If you have any questions or concerns about this posting, please email taposting@wwt.com.
See all 1,139+ Artificial Intelligence Scientist jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Artificial Intelligence Scientist roles.
Get Access To All JobsTips for Finding Green Card Sponsorship as an Artificial Intelligence Scientist
Document your AI research output early
PERM audits frequently target AI Scientist roles because DOL scrutinizes whether the position genuinely requires an advanced degree. Compile peer-reviewed publications, patent filings, and conference presentations before applications begin so your employer's PERM filing reflects verifiable specialty occupation evidence.
Target employers with PERM filing history
Not every company sponsoring H-1B workers will sponsor PERM green cards. Focus on employers that have filed PERM applications for AI research roles specifically, as these companies already have immigration counsel and an established process for employment-based sponsorship.
Use Migrate Mate to filter sponsoring employers
Searching for AI Scientist roles with confirmed green card sponsorship history cuts weeks off your research. Migrate Mate surfaces employers with active EB-2 and EB-3 filing histories so you're targeting companies already committed to permanent sponsorship, not just work visa transfers.
Understand the prevailing wage before negotiating
Your employer must pay at least the DOL prevailing wage for your AI Scientist role and location. Look up your specific SOC code using the OFLC Wage Search before salary discussions so you know the floor, since PERM approval depends on the offered wage meeting that threshold.
Ask employers about concurrent I-140 filing
Once your employer submits a PERM application, ask whether they'll file your I-140 petition concurrently with adjustment of status if your priority date is current. For nationals from countries without significant EB-2 backlogs, concurrent filing can compress the overall green card timeline substantially.
Explore EB-2 National Interest Waiver for AI research
AI Scientist roles with national security, healthcare AI, or public-interest research applications may qualify for a National Interest Waiver, letting you self-petition without employer sponsorship. USCIS evaluates substantial merit and national importance, so documented societal impact strengthens an NIW case considerably.
Artificial Intelligence Scientist jobs are hiring across the US. Find yours.
Find Artificial Intelligence Scientist JobsArtificial Intelligence Scientist Green Card Sponsorship: Frequently Asked Questions
Does an Artificial Intelligence Scientist role qualify for EB-2 or EB-3 green card sponsorship?
Most AI Scientist positions qualify under EB-2 because the role typically requires a master's degree or PhD in computer science, machine learning, or a related field. EB-3 applies when the employer classifies the role as a skilled worker position requiring a bachelor's degree. The PERM filing category depends on the minimum education the employer lists in the job description, not your actual credentials.
How does PERM green card sponsorship differ from H-1B sponsorship for AI Scientist roles?
H-1B is a temporary nonimmigrant status lasting up to six years, with an annual cap and lottery for most applicants. PERM-based EB-2 or EB-3 sponsorship leads to lawful permanent residency with no annual cap at the EB-3 level for most countries outside India and China. The PERM process takes longer, typically one to three years from labor certification through green card approval, but the outcome is permanent rather than a renewable temporary status.
What does the PERM labor certification process look like for an AI Scientist position?
Your employer files an Application for Permanent Employment Certification with DOL, demonstrating that no qualified U.S. worker is available for the role at the prevailing wage. For AI Scientist positions, DOL often audits PERM applications because the job market is competitive. Employers must conduct a documented recruitment campaign before filing. The process typically takes six to eighteen months before the I-140 petition stage begins.
Can I find AI Scientist jobs where employers are already committed to green card sponsorship?
Yes. Employers who have filed PERM applications for AI research roles previously are more likely to sponsor again because they have established immigration processes. Migrate Mate filters job listings by employers with green card sponsorship history, so you can focus on companies that have completed EB-2 or EB-3 filings rather than spending time approaching employers unfamiliar with the PERM process.
Is a National Interest Waiver a realistic path for AI Scientists who want to self-petition?
It can be, particularly for researchers working on AI applications in healthcare, national security, climate modeling, or critical infrastructure. USCIS evaluates whether your work has substantial merit and national importance and whether you are well-positioned to advance it. A strong publication record, citations, and documented real-world impact support an NIW petition. Unlike PERM, the NIW requires no employer sponsorship and no prevailing wage requirement.
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