STEM OPT AI Jobs
AI roles in machine learning, natural language processing, and computer vision qualify for the STEM OPT 24-month extension if your degree falls under an eligible CIP code. Your employer must be enrolled in E-Verify, and you'll need a signed I-983 training plan before your extension begins.
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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
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Get Access To All JobsTips for Finding STEM OPT Authorization in AI
Verify your CIP code before applying
Check that your degree's Classification of Instructional Programs code appears on the STEM Designated Degree Program List. Computer science, electrical engineering, and statistics degrees typically qualify, but interdisciplinary programs sometimes don't. Confirm with your DSO before targeting STEM OPT roles.
Filter employers by E-Verify enrollment status
STEM OPT is void if your employer isn't enrolled in E-Verify on your start date. Use Migrate Mate to search AI roles filtered by employers with confirmed E-Verify enrollment, so you don't lose authorization after accepting an offer.
Request your I-983 training plan before day one
Your signed I-983 must be in place before USCIS approves your STEM OPT extension. Draft a training plan that maps your AI role's learning objectives to your degree field, and get your employer's signature at least 90 days before your initial OPT expires.
Check prevailing wage before negotiating your offer
AI employers filing LCAs are required to meet DOL prevailing wage standards. Run your target job title and metro area through the OFLC Wage Search before your offer negotiation so you know the wage floor and can flag underpaying offers before accepting.
Use O*NET to match your degree to AI job titles
Specialty occupation determinations hinge on degree-to-role alignment. Look up AI and machine learning job titles on O*NET to confirm the listed education requirement is a specific STEM field, not just 'any bachelor's degree,' which weakens your case for STEM OPT eligibility.
Track cap-gap timing if H-1B is your next step
If your employer files an H-1B petition before April 1 and USCIS selects it, cap-gap extends your OPT automatically through September 30. Submit your I-983 renewal and keep your EAD current so there's no gap in authorization during the transition window.
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Find AI JobsFrequently Asked Questions
Which STEM degrees qualify for the STEM OPT extension in AI roles?
Degrees in computer science, computer engineering, electrical engineering, mathematics, statistics, and data science are the most common qualifying fields for AI jobs. Your degree's CIP code must appear on the USCIS STEM Designated Degree Program List. Interdisciplinary or applied programs sometimes carry CIP codes that aren't on the list, so confirm with your DSO before assuming eligibility.
Does every AI employer need to be enrolled in E-Verify?
Yes. E-Verify enrollment is a legal requirement for all STEM OPT employers, with no exceptions. The enrollment must be active on your first day of work, not just when you sign your offer letter. You can verify an employer's E-Verify status through the E-Verify employer search tool before accepting an offer. Startups and smaller AI labs frequently overlook this requirement, so always check.
What goes into the I-983 training plan for an AI role?
The I-983 must describe the specific AI skills and learning objectives you'll develop, how those objectives connect to your STEM degree field, and how your employer will supervise and evaluate your progress. For machine learning or NLP roles, this means documenting model development workflows, research methodologies, and technical mentorship structures. Both you and a company official must sign the plan before USCIS processes your extension.
How do I find AI employers who are already set up to hire STEM OPT students?
Migrate Mate lists AI roles from employers with verified E-Verify enrollment and prior STEM OPT or H-1B filing history, so you can target companies that have already navigated the compliance process. This saves significant time compared to screening employers manually after receiving offers from companies unfamiliar with the training plan and reporting requirements.
What happens to my STEM OPT if my AI employer gets acquired or changes its E-Verify status?
If your employer's E-Verify enrollment lapses or the company is acquired by a new legal entity that isn't enrolled, your STEM OPT authorization is at risk. You must notify your DSO within five business days and either confirm the successor entity re-enrolls in E-Verify or begin your job search immediately. USCIS treats a gap in E-Verify coverage as a violation of STEM OPT terms.
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