CPT AI Solution Architect Jobs
AI Solution Architect jobs on CPT let you apply enterprise AI design work directly to your degree requirements in computer science, data science, or a related field. Your DSO must authorize each CPT position before you start, and the role must connect to your specific program curriculum, not just your general interest in AI.
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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 JobsAI Solution Architect CPT: Frequently Asked Questions
Does an AI Solution Architect role qualify for CPT authorization?
Yes, if the work directly relates to your enrolled program. Most DSOs approve AI Solution Architect CPT for students in computer science, information systems, data science, or engineering programs where systems design and AI integration appear in the curriculum. The job description you submit to your DSO must map specific duties to specific coursework, not just reference AI broadly.
Can I do CPT for an AI Solution Architect role at a startup or consulting firm?
Yes, CPT has no employer-size requirement. Startups and consulting firms qualify as long as the work is integral to your curriculum and your DSO authorizes it. Consulting arrangements where you're embedded with a client on a specific AI architecture project are generally approvable, but your employment agreement should name the actual worksite and scope so your DSO can evaluate the fit.
What happens if my AI Solution Architect CPT role shifts to a different project mid-semester?
A significant change in duties or worksite may require a new CPT authorization from your DSO. If your role moves from, say, designing an NLP pipeline to leading a cloud infrastructure migration, ask your DSO whether the updated scope still maps to your authorized CPT. Working outside your authorized terms puts your F-1 status at risk.
How do I find AI Solution Architect employers who understand CPT requirements?
Search Migrate Mate and filter by CPT eligibility. Employers with Labor Condition Application filing history for architect-level roles have already worked through prevailing-wage compliance and work-authorization documentation. That background means fewer surprises when you explain your CPT authorization timeline and the requirement that work begin only after your DSO issues the updated I-20.
Does full-time CPT as an AI Solution Architect affect my OPT eligibility?
Full-time CPT totaling 12 months or more, across all employers and programs, eliminates your post-completion OPT eligibility entirely. Part-time CPT, defined as fewer than 20 hours per week, does not count against OPT regardless of duration. If your AI Solution Architect role is full-time and spans two semesters, calculate your cumulative full-time CPT carefully with your DSO before accepting.