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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About the Role
We are looking for an AI Reseacher to join our growing AI team and help build intelligent, production-grade AI systems that solve complex problems at scale.
In this role, you will work closely with product, engineering, and data teams to design, develop, and deploy AI-powered applications, including LLM-based solutions, AI agents, retrieval-augmented generation (RAG), and intelligent automation workflows.
The ideal candidate is hands-on, highly curious, and comfortable working across the full AI development lifecycle—from experimentation and prototyping to production deployment and optimization.
A Day in the Life
- You take an idea from paper to prototype to production. If you have only ever done one of those three, this role will stretch you, and we are fine with that if the rest is strong.
- You can build the model layer of a real product, not just a model. That means choosing model sizes, composing several models into a working system, and holding a product-level accuracy bar.
- You write real code. Python fluently, PyTorch fluently, and enough systems sense to know why your training run is slow.
- You design experiments. You state the hypothesis, run the ablation, and report the result that disagrees with you.
- You measure things. You are suspicious of results that look good, and you build the eval before you build the model.
- You read current research and can tell the difference between a technique that will hold up and one that will not.
- You explain your work to people who are not AI engineers, including clinicians and operators who will tell you when your output is wrong.
What You Need
- MS or PhD in Computer Science, Machine Learning, or a related quantitative field. Exceptional BS candidates with substantial research or open-source work will be considered.
- Depth beyond coursework: first-author publications at NeurIPS, ICML, ICLR, ACL, EMNLP, or similar; meaningful open-source ML contributions; a research internship at an AI lab; or models you trained and shipped that people actually used.
- You have fine-tuned an open-weight model yourself, understand the difference between parameter-efficient and full fine-tuning, and can explain why you chose one.
- Strong Python and PyTorch. Familiarity with the current training and serving stack (HuggingFace, FSDP or DeepSpeed, vLLM or SGLang, or equivalents).
- Some exposure to multi-GPU training, even at lab scale. You should know what a sharding strategy is and why it matters.
- Evidence you can finish things.
We offer competitive benefits to set you up for success in and outside of work.
Here’s What We Offer
- Generous PTO Benefits: Enjoy PTO benefit accrual of 20 days per year.
- Parental Leave: Experience one of the industry's best parental leave policies to spend time with your new addition.
- Rewards & Recognition: Unlock your potential and be rewarded generously with both monetary incentives and widespread recognition for your dedication and outstanding performance.
- Insurance Benefits: We offer medical, dental, and vision benefits along with 100% company-sponsored short and long-term disability and basic life insurance. Legal aid and pet insurance options are available at a discounted rate.
Innovaccer is an equal opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered.
Disclaimer: Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details.
About Innovaccer
Innovaccer activates the flow of healthcare data, empowering providers, payers, and government organizations to deliver intelligent and connected experiences that advance health outcomes. The Healthcare Intelligence Cloud equips every stakeholder in the patient journey to turn fragmented data into proactive, coordinated actions that elevate the quality of care and drive operational performance. Leading healthcare organizations like CommonSpirit Health, Atlantic Health, and Banner Health trust Innovaccer to integrate a system of intelligence into their existing infrastructure— extending the human touch in healthcare.
Description
About the Role
We are looking for an AI Reseacher to join our growing AI team and help build intelligent, production-grade AI systems that solve complex problems at scale.
In this role, you will work closely with product, engineering, and data teams to design, develop, and deploy AI-powered applications, including LLM-based solutions, AI agents, retrieval-augmented generation (RAG), and intelligent automation workflows.
The ideal candidate is hands-on, highly curious, and comfortable working across the full AI development lifecycle—from experimentation and prototyping to production deployment and optimization.
A Day in the Life
- You take an idea from paper to prototype to production. If you have only ever done one of those three, this role will stretch you, and we are fine with that if the rest is strong.
- You can build the model layer of a real product, not just a model. That means choosing model sizes, composing several models into a working system, and holding a product-level accuracy bar.
- You write real code. Python fluently, PyTorch fluently, and enough systems sense to know why your training run is slow.
- You design experiments. You state the hypothesis, run the ablation, and report the result that disagrees with you.
- You measure things. You are suspicious of results that look good, and you build the eval before you build the model.
- You read current research and can tell the difference between a technique that will hold up and one that will not.
- You explain your work to people who are not AI engineers, including clinicians and operators who will tell you when your output is wrong.
What You Need
- MS or PhD in Computer Science, Machine Learning, or a related quantitative field. Exceptional BS candidates with substantial research or open-source work will be considered.
- Depth beyond coursework: first-author publications at NeurIPS, ICML, ICLR, ACL, EMNLP, or similar; meaningful open-source ML contributions; a research internship at an AI lab; or models you trained and shipped that people actually used.
- You have fine-tuned an open-weight model yourself, understand the difference between parameter-efficient and full fine-tuning, and can explain why you chose one.
- Strong Python and PyTorch. Familiarity with the current training and serving stack (HuggingFace, FSDP or DeepSpeed, vLLM or SGLang, or equivalents).
- Some exposure to multi-GPU training, even at lab scale. You should know what a sharding strategy is and why it matters.
- Evidence you can finish things.
We offer competitive benefits to set you up for success in and outside of work.
Here’s What We Offer
- Generous PTO Benefits: Enjoy PTO benefit accrual of 20 days per year.
- Parental Leave: Experience one of the industry's best parental leave policies to spend time with your new addition.
- Rewards & Recognition: Unlock your potential and be rewarded generously with both monetary incentives and widespread recognition for your dedication and outstanding performance.
- Insurance Benefits: We offer medical, dental, and vision benefits along with 100% company-sponsored short and long-term disability and basic life insurance. Legal aid and pet insurance options are available at a discounted rate.
Innovaccer is an equal opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered.
Disclaimer: Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details.
About Innovaccer
Innovaccer activates the flow of healthcare data, empowering providers, payers, and government organizations to deliver intelligent and connected experiences that advance health outcomes. The Healthcare Intelligence Cloud equips every stakeholder in the patient journey to turn fragmented data into proactive, coordinated actions that elevate the quality of care and drive operational performance. Leading healthcare organizations like CommonSpirit Health, Atlantic Health, and Banner Health trust Innovaccer to integrate a system of intelligence into their existing infrastructure— extending the human touch in healthcare.
See all 289+ STEM OPT Cloud AI Architect Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT Cloud AI Architect Jobs.
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.