OPT AI Jobs
AI jobs on OPT are widely available across tech, research, and enterprise sectors, but your 90-day unemployment limit means you can't afford a slow search. Many AI roles at larger companies qualify for STEM OPT extension, giving you up to three years of work authorization without an H-1B visa.
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Get Access To All JobsAmazing Career Moments Happen Here
Transforming the insurance industry is ambitious, we know. That’s why at Applied, we’re building a team that shows up every day ready to learn, willing to try new things, and driven to deliver innovative software and services that make us indispensable to our customers – all within a culture built on values that make us indispensable to each other too. With 40+ years of experience in the Insurtech game, we’re not just redefining what’s achievable, we’re creating a place where amazing career moments are made possible.
Position Overview
We're seeking an Associate AI Engineer / AI Engineer to build and enhance data solutions and AI initiatives for the business of insurance. In this role, you will work closely with the Principal Data Architect, Data Scientists, and Software Engineers to build, model, and maintain data solutions as we optimize data architecture and accessibility of large-scale datasets for our global teams.
What You’ll Do
- Partner with Product, Engineering, and Data Science leaders to design and deliver AI-powered user experiences in our dashboard products
- Build and integrate conversational AI solutions (e.g., Vertex AI, Generative AI APIs) into Applied’s products
- Use AI tools responsibly (e.g., code assistance, test generation, analysis, and documentation) to accelerate velocity and improve quality while validating outputs and ownership of contributions to the customer experience
- Work with Google Cloud APIs, Vertex AI, and related services to enable intelligent workflows
- Prototype and implement AI-driven insights and recommendations directly in dashboards for client use
- Collaborate with UX and product teams to design seamless user experiences powered by AI
- Support development of generative AI prototypes, prompt design, and fine-tuned models
- Stay current on advancements in Google Cloud, conversational AI, and applied AI engineering
- Assist senior engineers and scientists on larger initiatives to scale AI capabilities across the platform
We’re Excited to Learn More About You
Hybrid: Ability to work from an Applied Systems office on an ad hoc basis, with remote work days for deep work.
Must have:
- Strong programming skills in Python and SQL.
- Exposure to data science concepts (predictive modeling, ML/AI basics, or coursework/projects).
- Interest in applied AI, conversational AI, and building user-facing insights.
- Familiarity with cloud platforms (Google Cloud preferred) or willingness to learn quickly.
- Understanding of APIs and how applications connect to each other.
- Problem-solving skills with curiosity and eagerness to experiment and explore new technologies.
Nice to have (but not required):
- Experience with Google Cloud tools such as Vertex AI, Dialogflow, or BigQuery.
- Familiarity with dashboards/visualization tools (Looker, Tableau, or Power BI).
- Version control knowledge (Git).
Education: Bachelor's or Master's degree in a related field (e.g., Computer Science, Data Science, Engineering, or related field)
We proudly support and encourage people with military experience, as well as military spouses, to apply.
When You Join Team Applied, You Can Expect:
A culture that values who you are and recognizes that you aren’t just an employee; you are a teammate, and you matter. We thrive on the benefits of our different experiences and celebrate the uniqueness our teammates bring to work with them every day.
We flex our time together, collaborating remotely and in-person to empower our teams to work in the ways that work best for them.
A comprehensive benefits and compensation package that centers our teammates and helps them to bring their best to work every day:
- Medical, Dental, and Vision Coverage
- Holiday and Vacation Time
- Health & Wellness Days
- A Bonus Day for Your Birthday
Our targeted starting base salary in the United States for this position ranges from $80,000 - $120,000. To determine a new team member’s starting pay, we consider a variety of factors, including someone’s depth, breadth, and variety of experience, skills, and responsibilities. Depending on the role, team members may also be eligible to participate in additional compensation plans such as bonus and commission.
Your Security Matters:
Our candidates’ personal information and online safety are top of mind for us. At Applied, we proactively protect your personal information and only communicate with candidates via a secure @appliedsystems.com email or through our official careers portal. Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers.
EEO Statement
Applied Systems is proud to be an Equal Employment Opportunity Employer. Diversity and Inclusion is a business imperative and is a part of building our brand and reputation. At Applied, we don’t discriminate, and we are committed to recruit, develop, retain, and promote regardless of race, religion, color, national origin, sexual orientation, gender identity, disability, age, veteran status, and other protected status as required by applicable law.
LI-Hybrid
Amazing Career Moments Happen Here
Transforming the insurance industry is ambitious, we know. That’s why at Applied, we’re building a team that shows up every day ready to learn, willing to try new things, and driven to deliver innovative software and services that make us indispensable to our customers – all within a culture built on values that make us indispensable to each other too. With 40+ years of experience in the Insurtech game, we’re not just redefining what’s achievable, we’re creating a place where amazing career moments are made possible.
Position Overview
We're seeking an Associate AI Engineer / AI Engineer to build and enhance data solutions and AI initiatives for the business of insurance. In this role, you will work closely with the Principal Data Architect, Data Scientists, and Software Engineers to build, model, and maintain data solutions as we optimize data architecture and accessibility of large-scale datasets for our global teams.
What You’ll Do
- Partner with Product, Engineering, and Data Science leaders to design and deliver AI-powered user experiences in our dashboard products
- Build and integrate conversational AI solutions (e.g., Vertex AI, Generative AI APIs) into Applied’s products
- Use AI tools responsibly (e.g., code assistance, test generation, analysis, and documentation) to accelerate velocity and improve quality while validating outputs and ownership of contributions to the customer experience
- Work with Google Cloud APIs, Vertex AI, and related services to enable intelligent workflows
- Prototype and implement AI-driven insights and recommendations directly in dashboards for client use
- Collaborate with UX and product teams to design seamless user experiences powered by AI
- Support development of generative AI prototypes, prompt design, and fine-tuned models
- Stay current on advancements in Google Cloud, conversational AI, and applied AI engineering
- Assist senior engineers and scientists on larger initiatives to scale AI capabilities across the platform
We’re Excited to Learn More About You
Hybrid: Ability to work from an Applied Systems office on an ad hoc basis, with remote work days for deep work.
Must have:
- Strong programming skills in Python and SQL.
- Exposure to data science concepts (predictive modeling, ML/AI basics, or coursework/projects).
- Interest in applied AI, conversational AI, and building user-facing insights.
- Familiarity with cloud platforms (Google Cloud preferred) or willingness to learn quickly.
- Understanding of APIs and how applications connect to each other.
- Problem-solving skills with curiosity and eagerness to experiment and explore new technologies.
Nice to have (but not required):
- Experience with Google Cloud tools such as Vertex AI, Dialogflow, or BigQuery.
- Familiarity with dashboards/visualization tools (Looker, Tableau, or Power BI).
- Version control knowledge (Git).
Education: Bachelor's or Master's degree in a related field (e.g., Computer Science, Data Science, Engineering, or related field)
We proudly support and encourage people with military experience, as well as military spouses, to apply.
When You Join Team Applied, You Can Expect:
A culture that values who you are and recognizes that you aren’t just an employee; you are a teammate, and you matter. We thrive on the benefits of our different experiences and celebrate the uniqueness our teammates bring to work with them every day.
We flex our time together, collaborating remotely and in-person to empower our teams to work in the ways that work best for them.
A comprehensive benefits and compensation package that centers our teammates and helps them to bring their best to work every day:
- Medical, Dental, and Vision Coverage
- Holiday and Vacation Time
- Health & Wellness Days
- A Bonus Day for Your Birthday
Our targeted starting base salary in the United States for this position ranges from $80,000 - $120,000. To determine a new team member’s starting pay, we consider a variety of factors, including someone’s depth, breadth, and variety of experience, skills, and responsibilities. Depending on the role, team members may also be eligible to participate in additional compensation plans such as bonus and commission.
Your Security Matters:
Our candidates’ personal information and online safety are top of mind for us. At Applied, we proactively protect your personal information and only communicate with candidates via a secure @appliedsystems.com email or through our official careers portal. Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers.
EEO Statement
Applied Systems is proud to be an Equal Employment Opportunity Employer. Diversity and Inclusion is a business imperative and is a part of building our brand and reputation. At Applied, we don’t discriminate, and we are committed to recruit, develop, retain, and promote regardless of race, religion, color, national origin, sexual orientation, gender identity, disability, age, veteran status, and other protected status as required by applicable law.
LI-Hybrid
See all 262+ OPT AI Jobs
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Get Access To All JobsTips for Finding OPT Sponsorship in AI
Target STEM-designated programs first
Your F-1 degree field determines STEM OPT eligibility. Computer science, data science, and electrical engineering are all STEM-designated. Confirm your CIP code with your DSO before applying so you know your actual authorization window.
Prioritize employers enrolled in E-Verify
STEM OPT extension requires your employer to be enrolled in E-Verify. Ask recruiters early in the process. Large tech companies are almost universally enrolled, but startups vary and you need to confirm before accepting an offer.
Frame your research experience in product terms
AI hiring managers want engineers who ship, not just researchers who publish. Translate your thesis or lab work into product outcomes: model accuracy improvements, inference latency reductions, or dataset scale. Concrete metrics move you past resume screens.
Apply before your OPT start date approaches
Background checks and onboarding at larger companies routinely take four to six weeks. Start your search at least three months before your current authorization expires. Cutting it close creates gaps that are difficult to resolve without jeopardizing your status.
Understand the 90-day unemployment rule across roles
Part-time AI consulting or contract work counts toward employment under OPT, but unpaid research does not. If you take a short-term contract between full-time roles, track those days carefully. Your DSO can help you calculate cumulative unemployment accurately.
Match your job title to your degree field
USCIS scrutinizes whether your role is directly related to your degree. A software engineering title is harder to connect to a biology degree than an AI research title is. Work with your DSO to document the connection before your employer files the I-983.
AI OPT: Frequently Asked Questions
Can I work in AI on standard OPT before applying for the STEM extension?
Yes. Standard OPT gives you 12 months of work authorization after graduation, and AI roles qualify as long as the position is directly related to your degree field. If your degree is STEM-designated, you can apply for the 24-month STEM extension before your standard OPT expires, giving you up to three years total.
What AI job titles are most likely to qualify for STEM OPT extension?
Roles with titles like machine learning engineer, AI research scientist, data scientist, computer vision engineer, and NLP engineer consistently qualify when tied to a STEM degree. The title itself matters less than the job duties and degree connection. Your employer will document the relationship on Form I-983, so the role description needs to clearly reflect your field of study.
Where can I find AI employers who are open to hiring OPT students?
Migrate Mate is built specifically for F-1 OPT and international students, with AI jobs filtered by sponsorship willingness and E-Verify status. Searching there saves significant time compared to filtering through general job boards that don't surface work authorization details upfront.
Does contract or freelance AI work count as valid OPT employment?
Yes, self-employment and contract work are permitted under OPT as long as the work is directly related to your degree. You must work at least 20 hours per week to avoid accruing unemployment days. For STEM OPT, self-employment is technically allowed but the I-983 training plan requirement makes it complex to fulfill in practice.
What happens if my AI job offer falls through while I'm on OPT?
You have 90 cumulative days of unemployment allowed during standard OPT, and an additional 60 days during the STEM extension. If a job offer falls through, notify your DSO immediately and begin searching again. Days accrue from your OPT start date regardless of whether you were actively employed, so timing matters significantly.