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.
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INTRODUCTION
As an Applied AI Engineer II, you will be tasked with building and maintaining best-of-breed products as part of a small and nimble development team. Tanium focuses on a strong customer engagement model and feedback process to ensure our products are designed the right way from the beginning. When new product ideas are identified, our software engineers are responsible for designing, developing, testing, and deploying the products from the ground up, while continuously iterating with product management and customers for feedback and input. This position follows the Company’s hybrid schedule which currently requires employees to work in the Durham, NC or Addison, TX office a minimum of three days per week.
WHAT YOU’LL DO
- Design, develop, and deploy AI Agents and machine learning models to solve complex business problems
- Create and maintain backend systems for LLMs and AI Agents, ensuring high performance and scalability
- Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows
- Optimize and fine-tune models and AI Agents for performance, accuracy, and efficiency
- Implement and manage CI/CD pipelines for AI model and AI Agent deployment
- Monitor and troubleshoot AI systems in production, ensuring reliability and robustness
- Stay updated with the latest advancements in AI, machine learning, AI Agents, and related technologies
BASIC QUALIFICATIONS
- Education
- Bachelor's degree or equivalent experience
- CS Degree preferred
- Experience
- 3+ years of professional experience
- Proven experience as an AI Developer, AI Engineer, or similar role
- Expert knowledge of at least one of Golang (preferred), Python or Java and experience with Kubernetes
- Strong understanding of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch)
- Experience with LLMs, AI Agents, and natural language processing (NLP) techniques
-
Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies
-
Other
- Demonstrates sound judgment for balancing between rapid development, and long-term code maintainability and supportability
- Communicates effectively, both technically and non-technically, as well as in written and oral forms
- Believes in the power of and the need for writing automated tests as part of development
- Skilled debugger who can put out fires under pressure when things go wrong in production environments
- Has knowledge of a variety of modern software frameworks (server side & browser side) and the versatility to learn new tools
- Detail-oriented and passionate for creating an awesome user experience
ABOUT TANIUM
Tanium delivers the industry's only true real-time cloud-based endpoint management and security offering. Its platform is real-time, seamless, and autonomous, allowing security-conscious organizations to break down silos between IT and Security operations that results in reduced complexity, cost, and risk. Securing more than 32M endpoints around the world, Tanium's customers include Fortune 100 organizations, top US retailers, top US commercial banks, and branches of the U.S. Military. It also partners with the world's biggest technology companies, system integrators, and managed service providers to help customers realize the full potential of their IT investments. Tanium has been named to the Forbes Cloud 100 list for nine consecutive years and ranks on the Fortune 100 Best Companies to Work For.
ON A MISSION. TOGETHER.
At Tanium, we are stewards of a culture that emphasizes the importance of collaboration, respect, and diversity. In our pursuit of revolutionizing the way some of the largest enterprises and governments in the world solve their most difficult IT challenges, we are strengthened by our unique perspectives and by our collective actions. We are an organization with stakeholders around the world and it’s imperative that the diversity of our customers and communities is reflected internally in our team members. We strive to create a diverse and inclusive environment where everyone feels they have opportunities to succeed and grow because we know that only together can we do great things. Each of our team members has 5 days set aside as volunteer time off (VTO) to contribute to the communities they live in and give back to the causes they care about most.
WHAT YOU’LL GET
The annual base salary range for this full-time position is $100,000 - $295,000. This range is an estimate for what Tanium will pay a new hire. The actual annual base salary offered may be adjusted based on a variety of factors, including but not limited to, location, education, skills, training, and experience. In addition to an annual base salary, team members will receive equity awards and a generous benefits package consisting of medical, dental and vision plan, family planning benefits, health savings account, flexible spending account, transportation savings account, 401(k) retirement savings plan with company match, life, accident and disability coverage, business travel accident insurance, employee assistance programs, disability insurance, and other well-being benefits.
For more information on how Tanium processes your personal data, please see our Privacy Policy.

INTRODUCTION
As an Applied AI Engineer II, you will be tasked with building and maintaining best-of-breed products as part of a small and nimble development team. Tanium focuses on a strong customer engagement model and feedback process to ensure our products are designed the right way from the beginning. When new product ideas are identified, our software engineers are responsible for designing, developing, testing, and deploying the products from the ground up, while continuously iterating with product management and customers for feedback and input. This position follows the Company’s hybrid schedule which currently requires employees to work in the Durham, NC or Addison, TX office a minimum of three days per week.
WHAT YOU’LL DO
- Design, develop, and deploy AI Agents and machine learning models to solve complex business problems
- Create and maintain backend systems for LLMs and AI Agents, ensuring high performance and scalability
- Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows
- Optimize and fine-tune models and AI Agents for performance, accuracy, and efficiency
- Implement and manage CI/CD pipelines for AI model and AI Agent deployment
- Monitor and troubleshoot AI systems in production, ensuring reliability and robustness
- Stay updated with the latest advancements in AI, machine learning, AI Agents, and related technologies
BASIC QUALIFICATIONS
- Education
- Bachelor's degree or equivalent experience
- CS Degree preferred
- Experience
- 3+ years of professional experience
- Proven experience as an AI Developer, AI Engineer, or similar role
- Expert knowledge of at least one of Golang (preferred), Python or Java and experience with Kubernetes
- Strong understanding of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch)
- Experience with LLMs, AI Agents, and natural language processing (NLP) techniques
-
Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies
-
Other
- Demonstrates sound judgment for balancing between rapid development, and long-term code maintainability and supportability
- Communicates effectively, both technically and non-technically, as well as in written and oral forms
- Believes in the power of and the need for writing automated tests as part of development
- Skilled debugger who can put out fires under pressure when things go wrong in production environments
- Has knowledge of a variety of modern software frameworks (server side & browser side) and the versatility to learn new tools
- Detail-oriented and passionate for creating an awesome user experience
ABOUT TANIUM
Tanium delivers the industry's only true real-time cloud-based endpoint management and security offering. Its platform is real-time, seamless, and autonomous, allowing security-conscious organizations to break down silos between IT and Security operations that results in reduced complexity, cost, and risk. Securing more than 32M endpoints around the world, Tanium's customers include Fortune 100 organizations, top US retailers, top US commercial banks, and branches of the U.S. Military. It also partners with the world's biggest technology companies, system integrators, and managed service providers to help customers realize the full potential of their IT investments. Tanium has been named to the Forbes Cloud 100 list for nine consecutive years and ranks on the Fortune 100 Best Companies to Work For.
ON A MISSION. TOGETHER.
At Tanium, we are stewards of a culture that emphasizes the importance of collaboration, respect, and diversity. In our pursuit of revolutionizing the way some of the largest enterprises and governments in the world solve their most difficult IT challenges, we are strengthened by our unique perspectives and by our collective actions. We are an organization with stakeholders around the world and it’s imperative that the diversity of our customers and communities is reflected internally in our team members. We strive to create a diverse and inclusive environment where everyone feels they have opportunities to succeed and grow because we know that only together can we do great things. Each of our team members has 5 days set aside as volunteer time off (VTO) to contribute to the communities they live in and give back to the causes they care about most.
WHAT YOU’LL GET
The annual base salary range for this full-time position is $100,000 - $295,000. This range is an estimate for what Tanium will pay a new hire. The actual annual base salary offered may be adjusted based on a variety of factors, including but not limited to, location, education, skills, training, and experience. In addition to an annual base salary, team members will receive equity awards and a generous benefits package consisting of medical, dental and vision plan, family planning benefits, health savings account, flexible spending account, transportation savings account, 401(k) retirement savings plan with company match, life, accident and disability coverage, business travel accident insurance, employee assistance programs, disability insurance, and other well-being benefits.
For more information on how Tanium processes your personal data, please see our Privacy Policy.
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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.
Applied AI Engineer jobs are hiring across the US. Find yours.
Find Applied AI Engineer JobsFrequently Asked Questions
Do Applied AI Engineers qualify for H-1B visa sponsorship?
Yes, Applied AI Engineers typically qualify for H-1B 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, 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.
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