OPT Cloud AI Architect Jobs
Cloud AI Architect jobs are a strong fit for F-1 OPT students with backgrounds in machine learning, cloud infrastructure, or AI systems design. Most roles qualify as STEM OPT extensions, giving you up to 36 months of work authorization. Employers in this space regularly sponsor H-1B visas for strong performers.
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Get Access To All JobsINTRODUCTION
Brandeis University's Graduate Professional Studies (GPS) is looking for an industry leader to teach in our Master of Science in Applied Biotechnology & Enterprise program. Brandeis University is consistently ranked among the nation's top universities, and our online courses are developed using best practices in online learning. Information about Brandeis University and Graduate Professional Studies can be found online.
Course Title: Artificial Intelligence & Machine Learning in Drug Development
This course explores the use of AI and ML in pharmaceutical R&D. Topics include data preprocessing, predictive modeling, and applications in target identification, drug screening, and clinical trial optimization. Students gain hands-on experience using tools and algorithms to analyze real-world biotech data sets.
QUALIFICATIONS
Qualified candidates will have Subject Matter Qualifications in the following areas.
Required:
- Current active employment in the relevant biotech or pharmaceutical industry
- Deep knowledge of course-specific applications and industry practices
- Ph.D. or M.S.
- Strong communication and analytical skills
Preferred:
- Previous teaching experience or experience delivering professional training
- Familiarity with online instructional tools and platforms
GENERAL RESPONSIBILITIES
- Design a syllabus following program chair guidance and the syllabus template
- Create content aligned with course outcomes, integrating personal expertise
- Facilitate online discussions and provide timely, relevant feedback
- Maintain the course site and update content in the Moodle LMS
- Lead students in AI model development and interpretation using biotech case studies
- Help students critically assess the limitations and ethics of AI in pharmaceutical innovation
GENERAL SKILL REQUIREMENTS
- Strong interpersonal skills and the ability to foster student engagement
- Written communication skills, especially for online learning
- Ability to manage time effectively and respond promptly to students
- Proficiency in applying machine learning tools (e.g., Python, scikit-learn, TensorFlow) to drug discovery datasets
ABOUT THE MASTER OF SCIENCE IN APPLIED BIOTECHNOLOGY & ENTERPRISE
This program prepares students to innovate and lead in the fast-paced biotech industry, integrating scientific knowledge with business strategy. Students learn through project-based, real-world applications.
All GPS courses are 8-weeks long and taught asynchronously online.
ABOUT GPS FACULTY
GPS Faculty are active industry professionals who teach part-time, online. Our instructors hold at least a master's degree, and many have terminal degrees and professional certifications. Previous teaching experience is not required; GPS provides full training.
APPLICATION PROCESS: Interested candidates should submit:
- A cover letter highlighting relevant qualifications and teaching experience.
- A current CV or resume.
- Contact information for three professional references.
- (Optional) Examples of teaching materials or professional publications related to leadership and industry innovation.
This appointment is to a position that is in a collective bargaining unit represented by SEIU Local 509.
The compensation for this position is $6573.15.
PAY RANGE DISCLOSURE
The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements.
EQUAL OPPORTUNITY STATEMENT
Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").
INTRODUCTION
Brandeis University's Graduate Professional Studies (GPS) is looking for an industry leader to teach in our Master of Science in Applied Biotechnology & Enterprise program. Brandeis University is consistently ranked among the nation's top universities, and our online courses are developed using best practices in online learning. Information about Brandeis University and Graduate Professional Studies can be found online.
Course Title: Artificial Intelligence & Machine Learning in Drug Development
This course explores the use of AI and ML in pharmaceutical R&D. Topics include data preprocessing, predictive modeling, and applications in target identification, drug screening, and clinical trial optimization. Students gain hands-on experience using tools and algorithms to analyze real-world biotech data sets.
QUALIFICATIONS
Qualified candidates will have Subject Matter Qualifications in the following areas.
Required:
- Current active employment in the relevant biotech or pharmaceutical industry
- Deep knowledge of course-specific applications and industry practices
- Ph.D. or M.S.
- Strong communication and analytical skills
Preferred:
- Previous teaching experience or experience delivering professional training
- Familiarity with online instructional tools and platforms
GENERAL RESPONSIBILITIES
- Design a syllabus following program chair guidance and the syllabus template
- Create content aligned with course outcomes, integrating personal expertise
- Facilitate online discussions and provide timely, relevant feedback
- Maintain the course site and update content in the Moodle LMS
- Lead students in AI model development and interpretation using biotech case studies
- Help students critically assess the limitations and ethics of AI in pharmaceutical innovation
GENERAL SKILL REQUIREMENTS
- Strong interpersonal skills and the ability to foster student engagement
- Written communication skills, especially for online learning
- Ability to manage time effectively and respond promptly to students
- Proficiency in applying machine learning tools (e.g., Python, scikit-learn, TensorFlow) to drug discovery datasets
ABOUT THE MASTER OF SCIENCE IN APPLIED BIOTECHNOLOGY & ENTERPRISE
This program prepares students to innovate and lead in the fast-paced biotech industry, integrating scientific knowledge with business strategy. Students learn through project-based, real-world applications.
All GPS courses are 8-weeks long and taught asynchronously online.
ABOUT GPS FACULTY
GPS Faculty are active industry professionals who teach part-time, online. Our instructors hold at least a master's degree, and many have terminal degrees and professional certifications. Previous teaching experience is not required; GPS provides full training.
APPLICATION PROCESS: Interested candidates should submit:
- A cover letter highlighting relevant qualifications and teaching experience.
- A current CV or resume.
- Contact information for three professional references.
- (Optional) Examples of teaching materials or professional publications related to leadership and industry innovation.
This appointment is to a position that is in a collective bargaining unit represented by SEIU Local 509.
The compensation for this position is $6573.15.
PAY RANGE DISCLOSURE
The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements.
EQUAL OPPORTUNITY STATEMENT
Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").
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Get Access To All JobsTips for Finding OPT Sponsorship in Cloud AI Architect
Target cloud-native companies with established AI practices
Companies already running production AI workloads on AWS, Azure, or Google Cloud are far more likely to need and sponsor Cloud AI Architects. Their existing infrastructure investment makes immigration costs easier to justify than building a new practice from scratch.
Certify on the major cloud platforms before applying
AWS Solutions Architect, Google Professional Cloud Architect, and Azure Solutions Architect Expert certifications signal readiness to employers. These credentials are concrete proof of platform fluency and shift conversations away from visa status toward technical capability.
Frame your OPT timeline around the H-1B lottery calendar
H-1B registration opens in March each year. If your OPT starts before October, you may bridge the gap using your STEM extension. Knowing this timeline helps you time your job search and give employers confidence about continuity.
Demonstrate experience with MLOps and cloud cost optimization
Employers sponsoring Cloud AI Architects want measurable business impact, not just technical knowledge. Quantify how you reduced model inference costs, improved deployment pipelines, or cut cloud spend. These results make sponsorship easier to justify internally.
Prioritize employers with existing immigration infrastructure
Mid-to-large technology firms, consulting companies, and cloud service providers typically have in-house immigration counsel and established sponsorship workflows. Smaller startups may want to sponsor but lack the process to execute it reliably on your OPT timeline.
Use Migrate Mate to find roles filtered for OPT sponsorship
Searching broadly wastes time on employers who won't sponsor. Migrate Mate surfaces Cloud AI Architect roles from employers with a demonstrated history of sponsoring international candidates, so your applications focus where your visa status is least likely to be a barrier.
Cloud AI Architect OPT: Frequently Asked Questions
Does a Cloud AI Architect role qualify for the STEM OPT extension?
Most Cloud AI Architect positions qualify for the 24-month STEM OPT extension because they fall under CIP codes tied to computer science, electrical engineering, or information technology. The determining factor is your degree field, not the job title itself. Confirm your degree CIP code with your DSO before assuming eligibility, since a business or non-STEM degree would not qualify even if the job is technical.
How do I find Cloud AI Architect jobs that sponsor OPT students?
The most efficient approach is to focus your search on employers with a documented history of sponsoring international candidates in technical roles. Migrate Mate curates Cloud AI Architect listings from employers who actively hire OPT students, filtering out companies that don't sponsor so you're not wasting applications. Separately, reviewing DOL Labor Condition Application disclosure data shows which employers have filed for cloud and AI architecture roles in the past.
What happens if my OPT expires before my H-1B is approved?
If your employer files your H-1B petition before your OPT expires and you have a timely filed STEM extension, you're protected by cap-gap status through September 30 of that year. Cap-gap automatically extends your work authorization if your OPT or STEM extension would otherwise expire between April 1 and September 30. Confirm the exact dates with your DSO, since a single missed filing deadline can break this protection.
Are Cloud AI Architect roles considered specialty occupations for H-1B purposes?
Cloud AI Architect roles generally meet the H-1B specialty occupation standard because they typically require at least a bachelor's degree in a specific technical field such as computer science, software engineering, or a related discipline. The role must be defined in a way that ties the degree requirement to the job duties. Generic job descriptions that accept any degree field can create problems during USCIS adjudication, so the employer's job posting language matters.
Can I start a Cloud AI Architect job before my EAD card arrives?
No. You cannot begin working until you have your physical EAD card in hand and your OPT start date has passed. USCIS processing for OPT EADs currently runs 3 to 5 months, so file as early as your school allows, which is typically up to 90 days before your program end date. Starting work without a valid EAD puts your immigration status at risk and can affect future visa applications.