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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Get Access To All JobsINTRODUCTION
HP's Applied AI organization is at the center of HP's enterprise AI transformation. The team builds internal AI solutions, runs the AI platform, develops new AI tools and infrastructure, and enables AI training and adoption for employees across the company.
We are seeking a highly organized, strategic, and execution-oriented senior professional to serve as the Strategy & Business Planning Lead for Applied AI. This person will act as an operating partner to the VP, Head of Applied AI, helping a 120+ person organization run with clarity, discipline, and speed while ensuring the team is well represented with senior leaders and cross-functional partners.
The ideal candidate is a strong collaborator and executive communicator who can manage a continual flow of leadership requests, synthesize complex AI and technology work into crisp narratives, maintain financial and operational discipline, and drive coordination across leaders, workstreams, and peer Chief of Staff / business operations teams.
KEY RESPONSIBILITIES
Executive communications and storytelling:
- Develop high-quality presentation materials for C-suite and senior executive audiences, including strategy updates, operating reviews, transformation narratives, investment cases, and progress reports.
- Partner with Applied AI leaders to translate technical AI, platform, infrastructure, and product work into clear business narratives and measurable outcomes for HP.
- Create reusable communication frameworks and establish recurring forums to improve how Applied AI explains its strategy, priorities, and impact.
Operating rhythm and organizational effectiveness:
- Design and manage the Applied AI operating cadence, including staff meetings, leadership meetings, business reviews, OKR checkpoints, team-wide meetings, planning cycles, and offsites.
- Drive the annual and quarterly priority-setting process, ensuring goals, OKRs, milestones, dependencies, and owners are clear across the organization.
- Coordinate internally facing initiatives that improve team effectiveness, coordination, engagement, planning discipline, and cross-functional alignment.
- Partner with finance, HR, and Applied AI leadership to maintain budget, forecast, headcount, contractor, vendor, and investment trackers.
Transformation initiatives:
- Engage regularly with Chiefs of Staffs, strategy teams, and peer organizations across HP to share information, resolve dependencies, and align on enterprise initiatives.
- Lead or coordinate high-priority special projects for Digital, especially initiatives that cut across multiple teams or require executive visibility.
- Bring structured problem solving, analytical rigor, and practical judgment to ambiguous business and operating challenges.
REQUIRED CAPABILITIES AND QUALIFICATIONS
- 10+ years of experience in business operations, strategy and planning, Chief of Staff roles, program / portfolio management, transformation, consulting, or a related field.
- Exceptional executive communication skills, including the ability to build clear, concise, visually strong presentations for C-suite and senior leadership audiences.
- Strong business acumen and financial literacy, including comfort with budgets, headcount / resource planning, and operational metrics.
- Demonstrated ability to manage complex intake, competing priorities, multiple stakeholders, and fast-moving deadlines with minimal supervision.
- Strong collaboration and influencing skills; able to work through leaders and peers without direct authority and build trust across functions.
- Technical fluency and curiosity: ability to understand AI, data, software, platform, infrastructure, and responsible AI concepts well enough to translate them into business-relevant narratives and operating plans.
- Bachelor's degree required; MBA, MS, or advanced degree preferred.
PREFERRED QUALIFICATIONS
- Experience working in or supporting AI, data science, software engineering, cloud / platform, infrastructure, automation, or enterprise technology organizations.
- Experience supporting a VP-level or senior executive leadership team in a Chief of Staff, business planning, strategy, or operations capacity.
- Familiarity with AI adoption, AI governance, responsible AI, privacy, security, model lifecycle, or enterprise AI enablement topics.
- Experience building operating mechanisms for a complex organization, including OKRs, portfolio reviews, roadmap reviews, executive dashboards, and team cadences.
PAY & BENEFITS
The pay range for this role is $130,700 to $205,200 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.
Benefits:
- Health insurance
- Dental insurance
- Vision insurance
- Long term/short term disability insurance
- Employee assistance program
- Flexible spending account
- Life insurance
- Generous time off policies, including;
- 4-12 weeks fully paid parental leave based on tenure
- 11 paid holidays
- Additional flexible paid vacation and sick leave
- US benefits overview https://hpbenefits.ce.alight.com/
The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.
JOB
Business Planning
SCHEDULE
Full time
SHIFT
No shift premium (United States of America)
TRAVEL
RELOCATION
EQUAL OPPORTUNITY EMPLOYER (EEO)
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"
INTRODUCTION
HP's Applied AI organization is at the center of HP's enterprise AI transformation. The team builds internal AI solutions, runs the AI platform, develops new AI tools and infrastructure, and enables AI training and adoption for employees across the company.
We are seeking a highly organized, strategic, and execution-oriented senior professional to serve as the Strategy & Business Planning Lead for Applied AI. This person will act as an operating partner to the VP, Head of Applied AI, helping a 120+ person organization run with clarity, discipline, and speed while ensuring the team is well represented with senior leaders and cross-functional partners.
The ideal candidate is a strong collaborator and executive communicator who can manage a continual flow of leadership requests, synthesize complex AI and technology work into crisp narratives, maintain financial and operational discipline, and drive coordination across leaders, workstreams, and peer Chief of Staff / business operations teams.
KEY RESPONSIBILITIES
Executive communications and storytelling:
- Develop high-quality presentation materials for C-suite and senior executive audiences, including strategy updates, operating reviews, transformation narratives, investment cases, and progress reports.
- Partner with Applied AI leaders to translate technical AI, platform, infrastructure, and product work into clear business narratives and measurable outcomes for HP.
- Create reusable communication frameworks and establish recurring forums to improve how Applied AI explains its strategy, priorities, and impact.
Operating rhythm and organizational effectiveness:
- Design and manage the Applied AI operating cadence, including staff meetings, leadership meetings, business reviews, OKR checkpoints, team-wide meetings, planning cycles, and offsites.
- Drive the annual and quarterly priority-setting process, ensuring goals, OKRs, milestones, dependencies, and owners are clear across the organization.
- Coordinate internally facing initiatives that improve team effectiveness, coordination, engagement, planning discipline, and cross-functional alignment.
- Partner with finance, HR, and Applied AI leadership to maintain budget, forecast, headcount, contractor, vendor, and investment trackers.
Transformation initiatives:
- Engage regularly with Chiefs of Staffs, strategy teams, and peer organizations across HP to share information, resolve dependencies, and align on enterprise initiatives.
- Lead or coordinate high-priority special projects for Digital, especially initiatives that cut across multiple teams or require executive visibility.
- Bring structured problem solving, analytical rigor, and practical judgment to ambiguous business and operating challenges.
REQUIRED CAPABILITIES AND QUALIFICATIONS
- 10+ years of experience in business operations, strategy and planning, Chief of Staff roles, program / portfolio management, transformation, consulting, or a related field.
- Exceptional executive communication skills, including the ability to build clear, concise, visually strong presentations for C-suite and senior leadership audiences.
- Strong business acumen and financial literacy, including comfort with budgets, headcount / resource planning, and operational metrics.
- Demonstrated ability to manage complex intake, competing priorities, multiple stakeholders, and fast-moving deadlines with minimal supervision.
- Strong collaboration and influencing skills; able to work through leaders and peers without direct authority and build trust across functions.
- Technical fluency and curiosity: ability to understand AI, data, software, platform, infrastructure, and responsible AI concepts well enough to translate them into business-relevant narratives and operating plans.
- Bachelor's degree required; MBA, MS, or advanced degree preferred.
PREFERRED QUALIFICATIONS
- Experience working in or supporting AI, data science, software engineering, cloud / platform, infrastructure, automation, or enterprise technology organizations.
- Experience supporting a VP-level or senior executive leadership team in a Chief of Staff, business planning, strategy, or operations capacity.
- Familiarity with AI adoption, AI governance, responsible AI, privacy, security, model lifecycle, or enterprise AI enablement topics.
- Experience building operating mechanisms for a complex organization, including OKRs, portfolio reviews, roadmap reviews, executive dashboards, and team cadences.
PAY & BENEFITS
The pay range for this role is $130,700 to $205,200 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.
Benefits:
- Health insurance
- Dental insurance
- Vision insurance
- Long term/short term disability insurance
- Employee assistance program
- Flexible spending account
- Life insurance
- Generous time off policies, including;
- 4-12 weeks fully paid parental leave based on tenure
- 11 paid holidays
- Additional flexible paid vacation and sick leave
- US benefits overview https://hpbenefits.ce.alight.com/
The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.
JOB
Business Planning
SCHEDULE
Full time
SHIFT
No shift premium (United States of America)
TRAVEL
RELOCATION
EQUAL OPPORTUNITY EMPLOYER (EEO)
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"
See all 10,330+ Applied AI Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Applied AI Engineer roles.
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.
Frequently Asked Questions
Do Applied AI Engineers qualify for H-1B visa sponsorship?
Yes, Applied AI Engineers typically qualify for H-1B visa 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 visa, 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.