STEM OPT AI Solutions Engineer Jobs
AI Solutions Engineer roles sit squarely in STEM OPT territory: employers must be enrolled in E-Verify, and your STEM degree unlocks the 24-month extension beyond your initial 12-month OPT period, giving you up to 36 months of work authorization to build your U.S. career in AI.
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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 Solutions Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT AI Solutions Engineer Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization as an AI Solutions Engineer
Verify your degree qualifies before applying
Not every computer science or engineering degree automatically qualifies. Check your program's CIP code against the DHS STEM Designated Degree Program List to confirm your specific major is eligible before you apply for the STEM OPT extension.
Confirm E-Verify enrollment before accepting offers
Any employer who hires you on STEM OPT must be enrolled in E-Verify. Search the E-Verify employer search tool by company name before signing an offer letter. Enrollment status can change, so check at the offer stage, not after.
Target employers with active AI infrastructure roles
AI Solutions Engineers who work on deployed systems are stronger STEM OPT training plan candidates than those in purely client-facing roles. Look for job descriptions that specify model integration, MLOps pipelines, or production AI systems, which map cleanly to a defensible I-983 training plan.
Draft your I-983 training plan before your offer deadline
Your employer must sign your I-983 before your DSO can recommend the STEM OPT extension in SEVIS. Build a draft that ties your AI Solutions Engineer responsibilities to specific learning objectives from your STEM degree, so your employer isn't starting from scratch under deadline pressure.
Use Migrate Mate to find AI Solutions Engineer roles at E-Verify employers
Filter your job search to employers already confirmed in E-Verify. Migrate Mate surfaces AI Solutions Engineer positions at companies verified for STEM OPT hiring, cutting the due-diligence step you'd otherwise run on every application.
File your extension application 90 days before OPT expires
USCIS requires your STEM OPT extension application to be filed while your initial OPT EAD is still valid, and you can apply up to 90 days before it expires. Missing this window means a gap in work authorization that neither you nor your employer can bridge retroactively.
Frequently Asked Questions
Does my degree qualify me for the STEM OPT extension as an AI Solutions Engineer?
Your degree qualifies if it appears on the DHS STEM Designated Degree Program List by CIP code. Degrees in computer science, computer engineering, electrical engineering, applied mathematics, and information systems typically qualify. Your DSO can confirm your specific program's CIP code. The job title alone doesn't determine eligibility, your degree field does.
Does my employer need to be enrolled in E-Verify for me to work as an AI Solutions Engineer on STEM OPT?
Yes. E-Verify enrollment is a legal requirement for every employer who hires a STEM OPT student, with no exceptions. You can verify enrollment using the E-Verify employer search tool before you accept an offer. If your employer is not enrolled at the time you start work, your STEM OPT authorization is invalid regardless of what your EAD says.
What should my I-983 training plan include for an AI Solutions Engineer role?
Your I-983 must connect your day-to-day responsibilities to learning goals that relate directly to your STEM degree field. For an AI Solutions Engineer, this typically includes objectives around model deployment, system integration, performance evaluation, and applied machine learning. Vague descriptions like 'assist with AI projects' are insufficient. USCIS expects specificity that demonstrates a genuine educational connection to your degree.
How does the cap-gap rule apply if my employer files an H-1B petition while I'm on STEM OPT?
If your employer files an H-1B visa petition on your behalf before your STEM OPT EAD expires and you're selected in the lottery, the cap-gap rule automatically extends your work authorization through September 30 of that fiscal year. You don't need to file anything separately, but your employer must have submitted the petition before your current EAD expired for cap-gap to apply.
Where can I find AI Solutions Engineer jobs where the employer is already set up for STEM OPT hiring?
Migrate Mate lists AI Solutions Engineer roles at employers confirmed for E-Verify enrollment, so you can focus your applications on companies already equipped to hire STEM OPT students. This matters because even well-funded employers in AI sometimes haven't completed E-Verify enrollment, and discovering that after an offer is made creates delays that can affect your authorization timeline.