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 JobsINTRODUCTION
James Hardie is the industry leader in exterior home and outdoor living solutions, with a portfolio that includes fiber cement, fiber gypsum, composite and PVC decking and railing products. Our family of trusted brands includes Hardie®, TimberTech®, AZEK® Exteriors, Versatex®, fermacell®, and StruXure®.
With over 8,000 employees and our U.S. operating entities headquartered in Chicago, we boast 31 operating sites, 6 recycling facilities, and 6 research and development centers globally. Powered by a dynamic workforce, we’re united by our purpose of Building a Better Future for All™ through sustainable innovation, a Zero Harm culture, and a commitment to empowering our people and communities.
SUMMARY
The Enterprise AI Solution Engineer supports the full lifecycle of AI solutions—from ideation to productionization—covering both Generative AI and Predictive AI use cases. This role focuses on implementing AI-powered solutions, integrating them into enterprise workflows, and ensuring operational reliability. This role reports directly to the Sr. Director of AI and is supported by the Sr. Data Scientist.
WHAT YOU’LL DO:
- Participate in the end-to-end lifecycle of AI solutions: ideation, development, deployment, and productionization.
- Implement and integrate Generative AI and Predictive AI solutions into enterprise systems.
- Collaborate with data scientists and engineers to develop and productionize AI models and ensure seamless integration with business workflows.
- Develop APIs and services to enable AI-driven functionalities.
- Monitor and maintain AI solutions in production, troubleshooting performance issues.
- Document technical processes and contribute to team knowledge-sharing.
WHAT YOU’LL BRING:
- Bachelor’s degree in Computer Science, Engineering, or related field required.
- 4+ years of experience in AI/ML engineering, data science or software development.
- Proficiency in Python and familiarity with ML frameworks (TensorFlow, PyTorch).
- Experience with cloud services (Azure, AWS, GCP) and containerization tools.
- Experience with generative AI frameworks, LLM and RAG pipelines.
- Understanding of data pipelines and RESTful APIs.
WHAT YOU’LL RECEIVE:
As of the date of this posting, a good faith estimate of the current pay scale for this position is $92,000K-$115,000K. Placement in the range depends on several factors such as experience, skills, geography and internal equity and may change over time. This position qualifies for benefits and you will be eligible to participate in a bonus plan.
At James Hardie, we recognize that our success depends on our people. We've worked hard to build a generous and competitive benefits program that demonstrates our commitment to our employees.
- Comprehensive low-cost co-pay Health Insurance; medical, dental, prescription, and vision insurance benefits for every 30+ hour full-time employee. Insurance starts on day one!
- Life insurance
- Short-term and long-term disability insurance
- 401(k) Retirement plan that will match 100% of employees saved dollars up to the first 6% of your salary
- 11 paid holidays per year
- Paid vacation
- Paid sick leave
- Wellness Program, Employee Assistance Program, Parental Leave
- Employee Stock Purchase Plan
- Community Involvement & Sustainable Solutions
LI-DW1
James Hardie Building Products Inc. is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, gender, sex, age, national origin, religion, sexual orientation, gender identity/expression, genetic information, veteran's status, marital status, pregnancy, disability, or any other basis protected by law.
James Hardie will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, in accordance with its plans and policies.
The position responsibilities outlined above are in no way to be construed as all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary.
INTRODUCTION
James Hardie is the industry leader in exterior home and outdoor living solutions, with a portfolio that includes fiber cement, fiber gypsum, composite and PVC decking and railing products. Our family of trusted brands includes Hardie®, TimberTech®, AZEK® Exteriors, Versatex®, fermacell®, and StruXure®.
With over 8,000 employees and our U.S. operating entities headquartered in Chicago, we boast 31 operating sites, 6 recycling facilities, and 6 research and development centers globally. Powered by a dynamic workforce, we’re united by our purpose of Building a Better Future for All™ through sustainable innovation, a Zero Harm culture, and a commitment to empowering our people and communities.
SUMMARY
The Enterprise AI Solution Engineer supports the full lifecycle of AI solutions—from ideation to productionization—covering both Generative AI and Predictive AI use cases. This role focuses on implementing AI-powered solutions, integrating them into enterprise workflows, and ensuring operational reliability. This role reports directly to the Sr. Director of AI and is supported by the Sr. Data Scientist.
WHAT YOU’LL DO:
- Participate in the end-to-end lifecycle of AI solutions: ideation, development, deployment, and productionization.
- Implement and integrate Generative AI and Predictive AI solutions into enterprise systems.
- Collaborate with data scientists and engineers to develop and productionize AI models and ensure seamless integration with business workflows.
- Develop APIs and services to enable AI-driven functionalities.
- Monitor and maintain AI solutions in production, troubleshooting performance issues.
- Document technical processes and contribute to team knowledge-sharing.
WHAT YOU’LL BRING:
- Bachelor’s degree in Computer Science, Engineering, or related field required.
- 4+ years of experience in AI/ML engineering, data science or software development.
- Proficiency in Python and familiarity with ML frameworks (TensorFlow, PyTorch).
- Experience with cloud services (Azure, AWS, GCP) and containerization tools.
- Experience with generative AI frameworks, LLM and RAG pipelines.
- Understanding of data pipelines and RESTful APIs.
WHAT YOU’LL RECEIVE:
As of the date of this posting, a good faith estimate of the current pay scale for this position is $92,000K-$115,000K. Placement in the range depends on several factors such as experience, skills, geography and internal equity and may change over time. This position qualifies for benefits and you will be eligible to participate in a bonus plan.
At James Hardie, we recognize that our success depends on our people. We've worked hard to build a generous and competitive benefits program that demonstrates our commitment to our employees.
- Comprehensive low-cost co-pay Health Insurance; medical, dental, prescription, and vision insurance benefits for every 30+ hour full-time employee. Insurance starts on day one!
- Life insurance
- Short-term and long-term disability insurance
- 401(k) Retirement plan that will match 100% of employees saved dollars up to the first 6% of your salary
- 11 paid holidays per year
- Paid vacation
- Paid sick leave
- Wellness Program, Employee Assistance Program, Parental Leave
- Employee Stock Purchase Plan
- Community Involvement & Sustainable Solutions
LI-DW1
James Hardie Building Products Inc. is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, gender, sex, age, national origin, religion, sexual orientation, gender identity/expression, genetic information, veteran's status, marital status, pregnancy, disability, or any other basis protected by law.
James Hardie will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, in accordance with its plans and policies.
The position responsibilities outlined above are in no way to be construed as all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary.
See all 164+ AI Solutions Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Solutions Engineer roles.
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.
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Find AI Solutions Engineer JobsFrequently 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 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.
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