CPT VP Of AI Jobs
VP of AI roles sit at the intersection of technical leadership and enterprise strategy, making them a strong fit for CPT if your program includes coursework in machine learning, AI systems, or technology management. Your DSO must authorize CPT before your start date, and the work must directly fulfill a curricular requirement.
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Get Access To All JobsArtificial Intelligence Engineering Intern
The Artificial Intelligence Engineering Intern is responsible for supporting the development, implementation, and management of AI solutions and machine learning models that address complex business challenges. This internship position is designed to provide hands-on experience in AI development while fostering collaboration across multiple departments to create innovative solutions that enhance decision-making and business performance.
Responsibilities:
- Collaborate with team members to understand business requirements and assist in designing scalable AI applications aligned with organizational objectives.
- Develop high-performing, reusable, and reliable code following industry standards and best practices under the guidance of senior engineers.
- Support various phases of the Software Development Life Cycle (SDLC), including requirement gathering, design, implementation, testing, deployment, documentation, and maintenance.
- Assist in building pipelines leveraging tools such as Python, Spark, Azure ML, and OpenAI.
- Work with data analysts, data engineers, and software engineers to translate business requirements into technical solutions.
- Troubleshoot, analyze, and resolve AI performance issues and production problems.
- Maintain up-to-date knowledge of advancements in AI, machine learning, and data engineering.
- Participate actively in team meetings, contributing ideas and insights to drive continuous improvement.
- Create necessary documentation relating to work produced during the internship.
Basic Qualifications:
- Currently pursuing a Bachelor's degree or higher in Computer Science, AI, Data Science, or a related field.
- Strong foundational knowledge of Python programming (e.g., Spark, pandas) and SQL.
- Familiarity with AI methodologies, including supervised/unsupervised learning, regression analysis, and neural networks.
- Practical knowledge of cloud platforms, particularly Azure (Azure Synapse, Azure ML, Azure Data Factory, Azure Functions).
- Exposure to software development fundamentals such as SOLID principles, Object-Oriented Design, and Domain Driven Design.
- Strong problem-solving skills and a proactive attitude.
Bonus Points:
- Familiarity with tools such as Visual Studio, Git, and Azure DevOps.
- Knowledge of Agile methodologies and Test Driven Development (TDD).
- Awareness of cutting-edge industry trends and technologies.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Artificial Intelligence Engineering Intern
The Artificial Intelligence Engineering Intern is responsible for supporting the development, implementation, and management of AI solutions and machine learning models that address complex business challenges. This internship position is designed to provide hands-on experience in AI development while fostering collaboration across multiple departments to create innovative solutions that enhance decision-making and business performance.
Responsibilities:
- Collaborate with team members to understand business requirements and assist in designing scalable AI applications aligned with organizational objectives.
- Develop high-performing, reusable, and reliable code following industry standards and best practices under the guidance of senior engineers.
- Support various phases of the Software Development Life Cycle (SDLC), including requirement gathering, design, implementation, testing, deployment, documentation, and maintenance.
- Assist in building pipelines leveraging tools such as Python, Spark, Azure ML, and OpenAI.
- Work with data analysts, data engineers, and software engineers to translate business requirements into technical solutions.
- Troubleshoot, analyze, and resolve AI performance issues and production problems.
- Maintain up-to-date knowledge of advancements in AI, machine learning, and data engineering.
- Participate actively in team meetings, contributing ideas and insights to drive continuous improvement.
- Create necessary documentation relating to work produced during the internship.
Basic Qualifications:
- Currently pursuing a Bachelor's degree or higher in Computer Science, AI, Data Science, or a related field.
- Strong foundational knowledge of Python programming (e.g., Spark, pandas) and SQL.
- Familiarity with AI methodologies, including supervised/unsupervised learning, regression analysis, and neural networks.
- Practical knowledge of cloud platforms, particularly Azure (Azure Synapse, Azure ML, Azure Data Factory, Azure Functions).
- Exposure to software development fundamentals such as SOLID principles, Object-Oriented Design, and Domain Driven Design.
- Strong problem-solving skills and a proactive attitude.
Bonus Points:
- Familiarity with tools such as Visual Studio, Git, and Azure DevOps.
- Knowledge of Agile methodologies and Test Driven Development (TDD).
- Awareness of cutting-edge industry trends and technologies.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
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Get Access To All JobsVP Of AI CPT: Frequently Asked Questions
Does a VP of AI role qualify for CPT authorization?
Yes, if your program includes coursework in artificial intelligence, machine learning, technology strategy, or a related field, and the role's responsibilities directly fulfill a curricular requirement. Your DSO makes the final determination. Bring a detailed job description showing how the VP of AI duties connect to specific courses or learning outcomes in your program.
Can I do part-time CPT as a VP of AI while staying enrolled full-time?
Part-time CPT, defined as fewer than 20 hours per week, keeps your full-time enrollment status intact and doesn't affect your OPT eligibility. Full-time CPT for 12 months or more eliminates OPT eligibility entirely. For a VP of AI role, which typically involves significant weekly hours, confirm the schedule with your DSO before accepting the offer.
What should I look for in employers sponsoring VP of AI CPT positions?
Look for employers who already have infrastructure for work authorization, including E-Verify enrollment and a history of filing Labor Condition Applications for technical leadership roles. Migrate Mate surfaces companies with verified LCA filing history for AI and technology roles, which filters for employers experienced with the documentation requirements at this level.
Is a VP of AI role too senior for CPT, and will employers question my level?
CPT has no seniority ceiling. USCIS and your DSO care whether the role integrates with your curriculum, not your title. Many AI-focused graduate programs explicitly place students in senior roles as part of capstone or thesis requirements. If an employer questions your level, reference your program's AI coursework and any research or project leadership you've completed.
How does CPT for a VP of AI role affect my path to H-1B sponsorship after graduation?
CPT itself doesn't affect H-1B visa eligibility, but full-time CPT totaling 12 months or more eliminates your OPT eligibility, which is often used as a bridge to H-1B sponsorship. If you plan to pursue H-1B, structure your CPT as part-time or limit full-time CPT to under 12 months total across your degree program.