STEM OPT Cloud AI Architect Jobs
Cloud AI Architect roles sit squarely within STEM-designated fields, making them eligible for the 24-month STEM OPT extension beyond your initial 12 months. Your employer must be enrolled in E-Verify, and your degree in computer science, engineering, or a related STEM discipline must align with the role's technical requirements.
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Get Access To All JobsJob Title: Junior AI Engineer
Location: Remote
Job Type: Full-Time
Experience: 0–3 Years
Employment Type: Full-Time
Work Authorization: Must be authorized to work in the United States.
Job Summary
We are seeking a motivated and enthusiastic Junior AI Engineer to join our engineering team. The ideal candidate will assist in designing, developing, testing, and implementing Artificial Intelligence and Machine Learning solutions. This position is ideal for recent graduates and early-career professionals with a strong foundation in Python programming, Machine Learning, data analysis, and AI technologies. The candidate will have opportunities to work on real-world AI applications and collaborate with experienced engineers.
Key Responsibilities
- Assist in developing and implementing AI and Machine Learning models.
- Design, build, test, and maintain AI-powered applications.
- Develop Python-based solutions for data processing and automation.
- Collect, clean, preprocess, and analyze structured and unstructured datasets.
- Support the development of Generative AI applications and LLM-based solutions.
- Implement machine learning algorithms for classification, regression, and prediction.
- Perform model training, testing, validation, and performance evaluation.
- Work with APIs to integrate AI models into applications.
- Collaborate with software developers, data scientists, and cross-functional teams.
- Troubleshoot technical issues and optimize model performance.
- Maintain technical documentation and contribute to project development.
Required Qualifications
- Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field.
- 0–3 years of experience in AI, Machine Learning, or software development.
- Strong knowledge of Python programming.
- Understanding of Machine Learning algorithms and concepts.
- Familiarity with NumPy, Pandas, and Scikit-learn.
- Basic knowledge of TensorFlow or PyTorch.
- Understanding of SQL and relational databases.
- Knowledge of data structures and algorithms.
- Strong analytical and problem-solving skills.
- Good written and verbal communication skills.
Preferred Qualifications
- Knowledge of Generative AI, Large Language Models (LLMs), and Prompt Engineering.
- Familiarity with OpenAI APIs or other AI APIs.
- Basic understanding of Natural Language Processing (NLP).
- Knowledge of Deep Learning and Neural Networks.
- Familiarity with REST APIs and microservices.
- Exposure to AWS, Microsoft Azure, or Google Cloud Platform.
- Experience using Git, GitHub, Docker, and Jupyter Notebook.
- Internship experience or academic projects in AI/ML is a plus.
Technical Skills
- Programming Languages: Python
- AI/ML: Machine Learning, Deep Learning, Generative AI
- Frameworks: TensorFlow, PyTorch, Scikit-learn
- Libraries: NumPy, Pandas, Matplotlib
- Database: SQL, MySQL, PostgreSQL
- AI Technologies: NLP, LLMs, Prompt Engineering
- Tools: Git, GitHub, Jupyter Notebook, Docker
- Cloud Platforms: AWS, Azure, GCP
Education
Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or an equivalent technical discipline.
What We Offer
- Opportunity to work on real-world AI and Machine Learning projects.
- Hands-on experience with emerging AI technologies.
- Collaborative and innovative work environment.
- Opportunities for professional development and career growth.
- Exposure to Generative AI and cloud-based technologies.
Job Title: Junior AI Engineer
Location: Remote
Job Type: Full-Time
Experience: 0–3 Years
Employment Type: Full-Time
Work Authorization: Must be authorized to work in the United States.
Job Summary
We are seeking a motivated and enthusiastic Junior AI Engineer to join our engineering team. The ideal candidate will assist in designing, developing, testing, and implementing Artificial Intelligence and Machine Learning solutions. This position is ideal for recent graduates and early-career professionals with a strong foundation in Python programming, Machine Learning, data analysis, and AI technologies. The candidate will have opportunities to work on real-world AI applications and collaborate with experienced engineers.
Key Responsibilities
- Assist in developing and implementing AI and Machine Learning models.
- Design, build, test, and maintain AI-powered applications.
- Develop Python-based solutions for data processing and automation.
- Collect, clean, preprocess, and analyze structured and unstructured datasets.
- Support the development of Generative AI applications and LLM-based solutions.
- Implement machine learning algorithms for classification, regression, and prediction.
- Perform model training, testing, validation, and performance evaluation.
- Work with APIs to integrate AI models into applications.
- Collaborate with software developers, data scientists, and cross-functional teams.
- Troubleshoot technical issues and optimize model performance.
- Maintain technical documentation and contribute to project development.
Required Qualifications
- Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field.
- 0–3 years of experience in AI, Machine Learning, or software development.
- Strong knowledge of Python programming.
- Understanding of Machine Learning algorithms and concepts.
- Familiarity with NumPy, Pandas, and Scikit-learn.
- Basic knowledge of TensorFlow or PyTorch.
- Understanding of SQL and relational databases.
- Knowledge of data structures and algorithms.
- Strong analytical and problem-solving skills.
- Good written and verbal communication skills.
Preferred Qualifications
- Knowledge of Generative AI, Large Language Models (LLMs), and Prompt Engineering.
- Familiarity with OpenAI APIs or other AI APIs.
- Basic understanding of Natural Language Processing (NLP).
- Knowledge of Deep Learning and Neural Networks.
- Familiarity with REST APIs and microservices.
- Exposure to AWS, Microsoft Azure, or Google Cloud Platform.
- Experience using Git, GitHub, Docker, and Jupyter Notebook.
- Internship experience or academic projects in AI/ML is a plus.
Technical Skills
- Programming Languages: Python
- AI/ML: Machine Learning, Deep Learning, Generative AI
- Frameworks: TensorFlow, PyTorch, Scikit-learn
- Libraries: NumPy, Pandas, Matplotlib
- Database: SQL, MySQL, PostgreSQL
- AI Technologies: NLP, LLMs, Prompt Engineering
- Tools: Git, GitHub, Jupyter Notebook, Docker
- Cloud Platforms: AWS, Azure, GCP
Education
Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or an equivalent technical discipline.
What We Offer
- Opportunity to work on real-world AI and Machine Learning projects.
- Hands-on experience with emerging AI technologies.
- Collaborative and innovative work environment.
- Opportunities for professional development and career growth.
- Exposure to Generative AI and cloud-based technologies.
See all 204+ STEM OPT Cloud AI Architect Jobs
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Get Access To All JobsTips for Finding STEM OPT Authorization in Cloud AI Architect
Verify your CIP code before applying
Check that your degree's Classification of Instructional Programs code maps to a STEM-designated field recognized by DHS. A mismatch between your listed CIP code and the Cloud AI Architect role can block your extension approval entirely.
Confirm E-Verify enrollment before accepting offers
Ask recruiters directly whether the employer is enrolled in E-Verify before you advance to final rounds. An employer can hire you on OPT without E-Verify, but you cannot activate your 24-month STEM extension until they enroll.
Build an I-983 training plan around cloud AI deliverables
Your I-983 must list specific learning objectives tied to the job, not just your job title. For Cloud AI Architect roles, document measurable goals around model deployment, cloud infrastructure design, or MLOps pipelines so your DSO can sign off without revisions.
Target employers with active LCA filings in cloud computing
Use Migrate Mate to filter Cloud AI Architect jobs by employers who have filed Labor Condition Applications in cloud and AI-adjacent occupation codes, giving you a verified signal that the company has sponsored technical STEM roles before.
Check the prevailing wage before negotiating your offer
Look up the wage level for your specific cloud AI role and work location using OFLC Wage Search. Your employer will need to certify a prevailing wage on the LCA, so knowing the floor going in prevents surprises during offer finalization.
File your STEM OPT extension at least 90 days early
USCIS recommends submitting the I-765 for your STEM extension up to 90 days before your current EAD expires. Late filing without a timely receipt notice can create a gap in your work authorization between the end of initial OPT and extension approval.
Frequently Asked Questions
Does a Cloud AI Architect role qualify for the STEM OPT extension?
Yes, provided your degree is in a STEM-designated field such as computer science, electrical engineering, mathematics, or a related discipline with a qualifying CIP code. The role itself must also involve direct application of your STEM training. Check the O*NET occupation profile for Cloud AI Architect to confirm the technical degree requirements align with your background.
What E-Verify steps does my employer need to complete for STEM OPT?
Your employer must be actively enrolled in E-Verify before your STEM OPT extension can take effect. Enrollment is a federal requirement, not optional. You can ask HR for their E-Verify Company ID or request confirmation directly. If they aren't enrolled, they must complete E-Verify registration before you can start working under the extended authorization.
What should my I-983 training plan include for a Cloud AI Architect position?
Your I-983 must describe specific, measurable learning objectives tied to your STEM degree. For a Cloud AI Architect role, this typically includes goals around cloud infrastructure architecture, AI model deployment pipelines, integration of machine learning services, and performance benchmarking. Vague job descriptions won't satisfy USCIS standards, so work with your employer to make the objectives concrete and role-specific.
How does cap-gap protection apply if I'm on STEM OPT and my employer files an H-1B?
If your employer files an H-1B visa petition on your behalf before your STEM OPT EAD expires and your registration is selected, cap-gap automatically extends your work authorization through September 30 of that fiscal year. Your STEM OPT status and EAD remain valid during this bridge period. You don't need to file separately for cap-gap protection; it applies automatically under USCIS regulations.
Where can I find Cloud AI Architect jobs at employers already set up for STEM OPT?
Migrate Mate lists Cloud AI Architect roles filtered for employers with verified E-Verify enrollment and LCA filing history in technical occupation codes. Searching there narrows your list to companies that have already navigated the compliance requirements for STEM OPT students, rather than spending time on employers who may be unfamiliar with the process.