STEM OPT Senior AI Product Designer Jobs
Senior AI Product Designer roles sit at the intersection of machine learning systems and user experience, making them a strong fit for STEM OPT graduates in computer science, human-computer interaction, or related fields. Your 24-month STEM OPT extension applies here, and every employer must be enrolled in E-Verify before your training plan can begin.
Find STEM OPT Senior AI Product Designer JobsOverview
Showing 5 of 352+ Senior AI Product Designer jobs
See all 352+ Senior AI Product Designer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior AI Product Designer roles.
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 352+ STEM OPT Senior AI Product Designer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT Senior AI Product Designer Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization as a Senior AI Product Designer
Verify your CIP code covers this role
Check that your degree's Classification of Instructional Programs code maps to a STEM-designated field recognized by ICE. Human-computer interaction, computer science, and information systems codes commonly support AI Product Designer positions, but your DSO confirms the exact match.
Confirm E-Verify enrollment before accepting offers
Ask hiring managers directly whether the company is enrolled in E-Verify before you move past the offer stage. An employer that isn't enrolled cannot legally employ you on STEM OPT, no matter how eager they are to hire.
Build a portfolio that connects AI to measurable outcomes
Senior AI Product Designer roles require demonstrating that you've shipped AI-powered features, not just designed them. Document model integration decisions, user research on AI interactions, and measurable impact to stand out in technical screening rounds.
Use Migrate Mate to filter for STEM OPT employers
Search Migrate Mate for Senior AI Product Designer roles filtered to E-Verify-enrolled employers. This removes companies that can't support your authorization before you invest time in their interview process.
Negotiate your I-983 training plan scope early
The I-983 requires a formal learning objective tied to your STEM degree. In AI Product Designer roles, frame your plan around applied machine learning product development so the connection to your degree is explicit and survives a USCIS audit.
Time your extension filing against your OPT end date
USCIS recommends filing your STEM OPT extension application at least 90 days before your initial OPT expires. For Senior AI Designer searches that run long, a late filing puts your authorization at risk during active offer negotiations.
Frequently Asked Questions
Does a Senior AI Product Designer role qualify for the STEM OPT extension?
It can, but the qualifying factor is your degree, not the job title. Your degree must carry a STEM-designated CIP code, and the role must provide practical training directly related to that field. AI Product Designer positions grounded in computer science, HCI, or information systems commonly satisfy this connection, but your DSO makes the final determination based on your specific degree and I-983 training plan.
What goes into the I-983 training plan for an AI Product Designer position?
Your I-983 must describe specific learning goals tied to your STEM degree, the supervision structure, and how the work advances your field of study. For AI Product Designer roles, this typically means documenting responsibilities like designing AI interaction models, conducting user research on machine learning outputs, and collaborating with engineering on model integration. Both you and your employer sign the form, and your DSO must authorize it before the extension begins.
How do I confirm that a company is enrolled in E-Verify before applying?
You can search the E-Verify employer search tool directly through the E-Verify program's public database. Searching by company name shows current enrollment status. For companies not appearing there, ask the recruiter or HR contact directly during early conversations. Companies that can't confirm enrollment aren't able to support your STEM OPT training legally, so verifying this before you invest interview time protects your job search timeline.
Does cap-gap protection apply if I'm on STEM OPT and selected in the H-1B lottery?
Yes. If you're on STEM OPT when your employer files an H-1B visa petition on your behalf and you're selected in the lottery, cap-gap extends your OPT work authorization automatically through September 30 of that year. Your EAD remains valid during this period without any additional filing on your part, as long as your H-1B petition was timely filed and your OPT was still valid at the time of filing.
Where can I find Senior AI Product Designer jobs with employers that support STEM OPT?
Migrate Mate lists Senior AI Product Designer roles filtered to companies enrolled in E-Verify, which is the baseline requirement for any STEM OPT employer. Searching there lets you skip companies that can't legally support your authorization and focus on employers already set up to hire STEM OPT students, which matters especially in competitive AI design roles where interview cycles run long.