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 JobsMust-Have Qualifications
- 3 years of hands-on experience building AI products/applications.
- 3 years of application development experience.
- End-to-end RAG (Retrieval-Augmented Generation) implementation experience.
- Experience with LangGraph and LangChain.
- Strong Python development and querying experience.
- SQL and database experience.
- Snowflake experience required.
- AI/ML development experience.
Required Qualifications
Education
- Bachelor's degree in Computer Science, Engineering, Data Science, Information Technology, or related field.
Experience
- 3–4 years of hands-on experience developing AI/ML solutions in enterprise environments.
- 2+ years of experience building solutions using Agentic AI technologies and Generative AI frameworks.
- Relevant experience delivering production-ready AI applications from concept through deployment.
Preferred Technical Skills
AI & Generative AI:
- Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), AI Agents and Multi-Agent Systems, Semantic Search and Embeddings & AI Evaluation Frameworks.
- Experience with one or more: LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI, LlamaIndex.
Programming & Development:
- Python (required), SQL, REST APIs, Git/GitHub, FastAPI or equivalent backend frameworks.
Cloud & Data Platforms:
- Experience with one or more Microsoft Azure, Azure OpenAI, Azure AI Foundry, AWS Bedrock & Google Cloud AI Services.
Data & Integration:
- Any of the below or more: Vector Databases, Azure AI Search, PostgreSQL, Snowflake.
Must-Have Qualifications
- 3 years of hands-on experience building AI products/applications.
- 3 years of application development experience.
- End-to-end RAG (Retrieval-Augmented Generation) implementation experience.
- Experience with LangGraph and LangChain.
- Strong Python development and querying experience.
- SQL and database experience.
- Snowflake experience required.
- AI/ML development experience.
Required Qualifications
Education
- Bachelor's degree in Computer Science, Engineering, Data Science, Information Technology, or related field.
Experience
- 3–4 years of hands-on experience developing AI/ML solutions in enterprise environments.
- 2+ years of experience building solutions using Agentic AI technologies and Generative AI frameworks.
- Relevant experience delivering production-ready AI applications from concept through deployment.
Preferred Technical Skills
AI & Generative AI:
- Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), AI Agents and Multi-Agent Systems, Semantic Search and Embeddings & AI Evaluation Frameworks.
- Experience with one or more: LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI, LlamaIndex.
Programming & Development:
- Python (required), SQL, REST APIs, Git/GitHub, FastAPI or equivalent backend frameworks.
Cloud & Data Platforms:
- Experience with one or more Microsoft Azure, Azure OpenAI, Azure AI Foundry, AWS Bedrock & Google Cloud AI Services.
Data & Integration:
- Any of the below or more: Vector Databases, Azure AI Search, PostgreSQL, Snowflake.
See all 329+ 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.