OPT VP Of AI Jobs
VP of AI roles sit at the intersection of executive leadership and deep technical strategy, making them one of the most competitive OPT targets. Most require STEM OPT authorization, and your 24-month STEM extension eligibility is a real advantage. Employers sponsoring at this level almost always file H-1B visa petitions, giving you a clear path forward.
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BeaconFire is based in Central NJ, specializing in Software Development, Web Development, and Business Intelligence; looking for a strong agentic AI developer who can build and productionize Vertex AI–based RAG systems (Vertex AI Search / Vertex AI RAG patterns), design reliable tool-using agents, and work comfortably with vector databases and graph databases.
About the Role
You’ll own end-to-end delivery: ingestion, retrieval, agent orchestration, evaluation, and deployment.
Responsibilities
- Collaborate with the team to design and develop high quality Web applications using Python, Flask, Django, and related technologies.
- Write clean and efficient code, and ensure code maintainability and reusability.
- Design and implement RAG pipelines on Google Cloud / Vertex AI (chunking, embeddings, indexing, retrieval, reranking, grounding).
- Build agentic workflows (tool use, planning, reflection/guardrails, structured outputs) using Python-first frameworks.
- Perform code reviews to ensure code quality and consistency.
- Conduct testing to ensure application quality and reliability.
- Create and maintain technical documentation for web applications.
- Participate in project planning, estimation, and prioritization.
- Stay up to date with the latest technologies for Python development.
- Define and run evaluation (retrieval metrics, answer quality, hallucination/grounding checks), and improve system quality iteratively.
- Ship to production: APIs, monitoring/observability, cost/performance optimization, CI/CD, and security best practices.
Qualifications
- Experience in software development in Python3.
- Decent understanding of the software development/testing life cycle.
- Knowledge of relational databases (e.g. MySQL, PostgreSQL, etc).
- Experience with version control tools, such as Git.
- Experience building RAG solutions (hybrid search, reranking, chunking strategies, embeddings, prompt + schema design).
- Familiar with at least one agentic framework (e.g., LangGraph/LangChain, LlamaIndex, Semantic Kernel, AutoGen) and tool/function calling patterns.
- Solid knowledge of vector search concepts and at least one vector DB in production.
- Strong engineering practices: code reviews, testing, telemetry, secure-by-design, reliability mindset.
Preferred Skills
- Master’s Degree in Computer Science, Software Engineering, or related field.
- 1+ year professional experience in Python web application development with either Flask or Django.
- Experience in RESTful API development in Python.
- Understanding of Python web application frameworks such as Flask or Django.
- Experience with Cloud services, such as AWS.
- Experience with Vertex AI and GCP fundamentals (IAM, logging/monitoring, CloudRun/GKE, storage).
- Knowledge graphs for RAG (entity linking, graph traversal + retrieval fusion).
- Streaming/messaging (Pub/Sub, Kafka), document pipelines (Document AI), and multilingual retrieval.
- Experience with evaluation tooling (RAGAS, TruLens, custom eval harnesses), prompt/version management.
- Frontend integration (basic React/Next.js) or platform enablement (internal developer tooling).
Pay range and compensation package
BeaconFire is an E-verified company and provides equal employment opportunities (visa sponsorship provided).
Equal Opportunity Statement
BeaconFire is committed to diversity and inclusivity.
About the Company
BeaconFire is based in Central NJ, specializing in Software Development, Web Development, and Business Intelligence; looking for a strong agentic AI developer who can build and productionize Vertex AI–based RAG systems (Vertex AI Search / Vertex AI RAG patterns), design reliable tool-using agents, and work comfortably with vector databases and graph databases.
About the Role
You’ll own end-to-end delivery: ingestion, retrieval, agent orchestration, evaluation, and deployment.
Responsibilities
- Collaborate with the team to design and develop high quality Web applications using Python, Flask, Django, and related technologies.
- Write clean and efficient code, and ensure code maintainability and reusability.
- Design and implement RAG pipelines on Google Cloud / Vertex AI (chunking, embeddings, indexing, retrieval, reranking, grounding).
- Build agentic workflows (tool use, planning, reflection/guardrails, structured outputs) using Python-first frameworks.
- Perform code reviews to ensure code quality and consistency.
- Conduct testing to ensure application quality and reliability.
- Create and maintain technical documentation for web applications.
- Participate in project planning, estimation, and prioritization.
- Stay up to date with the latest technologies for Python development.
- Define and run evaluation (retrieval metrics, answer quality, hallucination/grounding checks), and improve system quality iteratively.
- Ship to production: APIs, monitoring/observability, cost/performance optimization, CI/CD, and security best practices.
Qualifications
- Experience in software development in Python3.
- Decent understanding of the software development/testing life cycle.
- Knowledge of relational databases (e.g. MySQL, PostgreSQL, etc).
- Experience with version control tools, such as Git.
- Experience building RAG solutions (hybrid search, reranking, chunking strategies, embeddings, prompt + schema design).
- Familiar with at least one agentic framework (e.g., LangGraph/LangChain, LlamaIndex, Semantic Kernel, AutoGen) and tool/function calling patterns.
- Solid knowledge of vector search concepts and at least one vector DB in production.
- Strong engineering practices: code reviews, testing, telemetry, secure-by-design, reliability mindset.
Preferred Skills
- Master’s Degree in Computer Science, Software Engineering, or related field.
- 1+ year professional experience in Python web application development with either Flask or Django.
- Experience in RESTful API development in Python.
- Understanding of Python web application frameworks such as Flask or Django.
- Experience with Cloud services, such as AWS.
- Experience with Vertex AI and GCP fundamentals (IAM, logging/monitoring, CloudRun/GKE, storage).
- Knowledge graphs for RAG (entity linking, graph traversal + retrieval fusion).
- Streaming/messaging (Pub/Sub, Kafka), document pipelines (Document AI), and multilingual retrieval.
- Experience with evaluation tooling (RAGAS, TruLens, custom eval harnesses), prompt/version management.
- Frontend integration (basic React/Next.js) or platform enablement (internal developer tooling).
Pay range and compensation package
BeaconFire is an E-verified company and provides equal employment opportunities (visa sponsorship provided).
Equal Opportunity Statement
BeaconFire is committed to diversity and inclusivity.
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Get Access To All JobsTips for Finding OPT Sponsorship in VP Of AI
Lead with your technical depth first
VP of AI candidates who come from strong ML engineering or research backgrounds get further than those who lead with management experience. Demonstrate you can architect systems and lead teams, not just one or the other.
Target companies with active AI infrastructure buildouts
Companies in mid-scale growth phases building out AI teams from scratch are far more likely to sponsor than mature organizations filling a single executive slot. Look for Series B through pre-IPO companies hiring their first AI leader.
Confirm your STEM OPT eligibility before applying
Most VP of AI roles qualify under STEM OPT if your degree is in computer science, data science, or a related field. Verify your DSO has approved your STEM extension application before you accept any offer at this level.
Frame your OPT timeline around the H-1B cap cycle
H-1B visa registration opens in March each year. If your OPT expires before October 1, you need enough runway for cap-gap protection to bridge the gap. Map your offer timing against these dates before committing.
Build a publication or patent record before interviewing
At the VP level, companies want external validation of your AI expertise. Published research, patents, or recognized conference presentations strengthen both your candidacy and any future O-1 visa or EB-1 petition your employer may file.
Negotiate sponsorship terms explicitly in your offer letter
Do not assume H-1B sponsorship is automatic at this seniority level. Ask the recruiter to confirm sponsorship commitment and have it documented before signing. Verbal assurances alone are not enforceable if leadership changes.
VP Of AI OPT: Frequently Asked Questions
Can an F-1 OPT student work as a VP of AI?
Yes. F-1 students on OPT can work in any role that is directly related to their field of study, including senior executive positions like VP of AI. If your degree is in computer science, data science, or a related STEM field, this role typically qualifies. Confirm alignment with your DSO before accepting an offer.
Do VP of AI roles typically come with H-1B sponsorship?
Most companies hiring at the VP level understand that top AI talent frequently requires sponsorship. Employers investing in building out an AI function generally view H-1B filing costs as part of the hiring package. That said, sponsorship is never guaranteed, so you should confirm it explicitly during the offer negotiation stage rather than assuming.
How does the 24-month STEM OPT extension apply to this role?
If your underlying degree is in a STEM-designated field and your employer is enrolled in E-Verify, you can apply for a 24-month STEM OPT extension beyond your standard 12-month OPT period. This gives you up to three years of total OPT work authorization, which covers two full H-1B cap cycles and significantly increases your chances of obtaining H-1B status.
Where can I find VP of AI jobs that sponsor OPT students?
Migrate Mate is built specifically for F-1 OPT students and filters for employers open to sponsoring international candidates. Searching on Migrate Mate saves time by surfacing AI leadership roles where sponsorship is part of the employer's hiring approach, rather than requiring you to filter through general job postings with no visa information.
Is an O-1 visa a realistic option for VP of AI candidates on OPT?
Yes, and it is worth exploring alongside H-1B. The O-1A visa is for individuals with extraordinary ability in fields including AI research and technology leadership. If you have peer-reviewed publications, patents, awards, or a track record of leading high-impact AI systems, you may qualify. Unlike H-1B, O-1 has no annual cap and no lottery, so approval depends entirely on your documentation.