STEM OPT AI Platform Engineer Jobs
AI Platform Engineer roles sit squarely within STEM-designated fields, making them a strong fit for the 24-month STEM OPT extension. Your employer must be enrolled in E-Verify and sign your I-983 training plan. Eligible degrees typically include computer science, electrical engineering, and related CIP-coded disciplines.
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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 343+ STEM OPT AI Platform Engineer Jobs
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Get Access To All JobsTips for Finding STEM OPT Authorization as an AI Platform Engineer
Verify your degree qualifies by CIP code
Not every computer science or engineering degree automatically qualifies. Cross-reference your degree's CIP code against the STEM Designated Degree Program list that USCIS recognizes before you apply, so there are no surprises when your DSO files the extension.
Check E-Verify enrollment before accepting offers
An employer that isn't enrolled in E-Verify cannot legally employ you on STEM OPT. Search the E-Verify employer search tool by company name before you start the offer negotiation, not after you've signed.
Build a portfolio that proves production-scale work
AI Platform Engineer roles require demonstrating infrastructure experience at scale, not just model experimentation. Include Kubernetes cluster management, MLOps pipelines, or distributed training setups in your portfolio so hiring managers can map your work to the I-983 training plan objectives.
Use O*NET to align your training plan tasks
The I-983 requires concrete, role-specific training goals. Pull the task and knowledge requirements directly from the O*NET occupation profile for AI and ML engineers to draft training objectives your employer can sign off on without back-and-forth.
Target employers with existing PERM or H-1B filing history
Companies that have filed PERM labor certifications or H-1B visa petitions for engineering roles already have compliant processes for STEM OPT. Use Migrate Mate to filter AI Platform Engineer roles by employers with that verified DOL filing history.
File your STEM OPT extension 90 days before OPT expires
USCIS processing can run several months, and your filing window opens 90 days before your current EAD expires. Submitting late risks an authorization gap that pauses your employment, which is especially disruptive mid-sprint on a platform infrastructure project.
Frequently Asked Questions
Does an AI Platform Engineer role qualify for the STEM OPT extension?
Yes, provided your employer is enrolled in E-Verify and your degree falls under a STEM-designated CIP code. Roles focused on building and maintaining ML infrastructure, distributed compute systems, or AI deployment pipelines align directly with STEM-designated fields such as computer science, computer engineering, and electrical engineering. Confirm your specific degree CIP code against the current STEM Designated Degree Program list before filing.
What should the I-983 training plan cover for this role?
Your I-983 must describe concrete, role-specific learning goals tied to your STEM degree, not generic job duties. For an AI Platform Engineer, that means training objectives around areas like distributed training infrastructure, MLOps pipeline design, container orchestration, or model serving architecture. Use the O*NET occupation profile for AI and ML engineers to identify task-level language your employer can review and sign. USCIS may audit the plan, so vague entries create risk.
How do I confirm my employer is enrolled in E-Verify?
Use the E-Verify employer search tool, which is publicly available through the E-Verify program, to search by company name or employer identification number before accepting an offer. Enrollment status can change, so verify it after receiving an offer letter, not just during initial research. If an employer is not enrolled, they must complete enrollment before your STEM OPT employment can begin, which can delay your start date.
What happens to my work authorization if my H-1B is selected in the lottery while I'm on STEM OPT?
If your employer files an H-1B petition on your behalf and it's selected in the lottery, the cap-gap rule extends your STEM OPT work authorization automatically through September 30 of that fiscal year, or until USCIS adjudicates your petition, whichever comes later. You don't need to file a new EAD during the cap-gap period, but your employer should confirm they filed before your STEM OPT EAD expired.
Where can I find AI Platform Engineer jobs from employers who support STEM OPT?
Migrate Mate filters AI Platform Engineer roles by employers with verified E-Verify enrollment and DOL filing history, so you're not spending time on companies that can't legally employ STEM OPT students. Searching there narrows your list to employers who have already demonstrated a willingness to sponsor and comply with the documentation requirements your STEM OPT extension demands.