OPT AI Solutions Engineer Jobs
AI Solutions Engineer jobs on OPT typically fall under STEM-designated CIP codes in computer science or engineering, giving you access to the 24-month STEM OPT extension. These roles combine deep technical skills with client-facing work, and many employers at consulting firms, cloud providers, and enterprise software companies actively hire OPT candidates.
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Get Access To All JobsPosition Overview
The AI Portfolio & Cybersecurity Engineer manages and coordinates the organization's AI portfolio while supporting the design, implementation, and governance of AI and LLM-based solutions. The role also strengthens the organization's cybersecurity capabilities by engineering security tools and assisting with vulnerability management, incident response, and GRC activities. Its purpose is to help translate AI opportunities into secure, governed, and measurable business solutions while improving the organization's overall cyber resilience.
Responsibilities
- Manage and maintain the enterprise AI portfolio, including proposed, approved, pilot, active, and completed initiatives.
- Coordinate the AI business-use-case intake, evaluation, prioritization, approval, and project lifecycle processes.
- Track AI project schedules, milestones, dependencies, risks, resource needs, costs, benefits, and value realization.
- Prepare AI portfolio dashboards, status reports, metrics, and executive-level updates.
- Partner with business units, IT, cybersecurity, Legal, HR, and other stakeholders to translate business needs into secure AI solutions.
- Assist IT and technical teams with designing, building, testing, integrating, and deploying AI and large language model (LLM) solutions.
- Evaluate AI platforms, models, vendors, and technical architectures for security, functionality, scalability, and business fit.
- Apply AI governance requirements related to data protection, privacy, acceptable use, human oversight, model risk, and regulatory compliance.
- Engineer, install, configure, integrate, maintain, and troubleshoot cybersecurity tools and supporting technologies.
- Develop automation, integrations, and AI-assisted workflows that improve cybersecurity operations and organizational efficiency.
- Support vulnerability management activities, including scanning, analysis, risk prioritization, remediation coordination, validation, and reporting.
- Assist with cybersecurity incident response, including investigation, containment, evidence collection, documentation, recovery, and post-incident review.
- Support governance, risk, and compliance activities, including risk assessments, control evaluations, audits, policy development, and evidence collection.
- Monitor emerging AI technologies, cybersecurity threats, vulnerabilities, regulations, and industry practices.
- Develop technical documentation, implementation procedures, user guidance, and knowledge-transfer materials.
- Promote the secure and responsible adoption of AI through stakeholder consultation, training, and ongoing support.
- Perform other cybersecurity engineering and operational responsibilities as assigned based on organizational priorities.
Education & Experience Requirements
- Bachelor's degree in Cybersecurity, Information Technology, Computer Science, Engineering, Data Science, or a related field, or equivalent combination of education, certifications, and relevant experience.
- Three to five years of experience in cybersecurity, IT engineering, AI solutions, systems administration, or a related technical role.
- Experience implementing, configuring, integrating, or supporting cybersecurity technologies and enterprise IT systems.
- Working knowledge of AI technologies, large language models, automation, APIs, cloud platforms, and secure solution-development practices.
- Experience supporting projects or portfolios, including requirements gathering, status tracking, risk management, stakeholder coordination, and executive reporting.
- Practical experience in one or more cybersecurity disciplines, such as vulnerability management, incident response, security operations, or governance, risk, and compliance.
- Familiarity with cybersecurity and AI governance frameworks, regulatory requirements, and data-protection principles.
- Relevant certifications—such as Security+, CySA+, SSCP, CISSP Associate, cloud, project management, or AI-related credentials—are preferred but not required.
Scope of Duties and Responsibilities
This job description in no way states or implies that these are the only duties to be performed by the employee(s) in this position. Employees will be required to follow any other job-related instructions and perform any other job-related duties requested by supervisors or management.
All duties and responsibilities are essential job functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the employee must possess the required skills, aptitudes, and abilities to perform each duty proficiently.
Additional Details:
Superior Essex is the parent brand of Essex Solutions, Superior Essex Communications, IVA, Lacroix + Kress, Hi-Wire, and Essex Brownell. It has over 3,000 employees in 11 countries, on three continents. Superior Essex is the leading, global provider of magnet wire and is on the forefront of communications fiber application as well as Power over Ethernet (PoE) technology. It is instrumental in creating disruptive technological advancements in the electrification of the automotive, energy, and industrial sectors. Superior Essex is committed to pioneering smart building technology while also setting the pace on sustainability. Superior Essex is Everywhere You Live and Work®. Additional information is available at superioressex.com.
Position Overview
The AI Portfolio & Cybersecurity Engineer manages and coordinates the organization's AI portfolio while supporting the design, implementation, and governance of AI and LLM-based solutions. The role also strengthens the organization's cybersecurity capabilities by engineering security tools and assisting with vulnerability management, incident response, and GRC activities. Its purpose is to help translate AI opportunities into secure, governed, and measurable business solutions while improving the organization's overall cyber resilience.
Responsibilities
- Manage and maintain the enterprise AI portfolio, including proposed, approved, pilot, active, and completed initiatives.
- Coordinate the AI business-use-case intake, evaluation, prioritization, approval, and project lifecycle processes.
- Track AI project schedules, milestones, dependencies, risks, resource needs, costs, benefits, and value realization.
- Prepare AI portfolio dashboards, status reports, metrics, and executive-level updates.
- Partner with business units, IT, cybersecurity, Legal, HR, and other stakeholders to translate business needs into secure AI solutions.
- Assist IT and technical teams with designing, building, testing, integrating, and deploying AI and large language model (LLM) solutions.
- Evaluate AI platforms, models, vendors, and technical architectures for security, functionality, scalability, and business fit.
- Apply AI governance requirements related to data protection, privacy, acceptable use, human oversight, model risk, and regulatory compliance.
- Engineer, install, configure, integrate, maintain, and troubleshoot cybersecurity tools and supporting technologies.
- Develop automation, integrations, and AI-assisted workflows that improve cybersecurity operations and organizational efficiency.
- Support vulnerability management activities, including scanning, analysis, risk prioritization, remediation coordination, validation, and reporting.
- Assist with cybersecurity incident response, including investigation, containment, evidence collection, documentation, recovery, and post-incident review.
- Support governance, risk, and compliance activities, including risk assessments, control evaluations, audits, policy development, and evidence collection.
- Monitor emerging AI technologies, cybersecurity threats, vulnerabilities, regulations, and industry practices.
- Develop technical documentation, implementation procedures, user guidance, and knowledge-transfer materials.
- Promote the secure and responsible adoption of AI through stakeholder consultation, training, and ongoing support.
- Perform other cybersecurity engineering and operational responsibilities as assigned based on organizational priorities.
Education & Experience Requirements
- Bachelor's degree in Cybersecurity, Information Technology, Computer Science, Engineering, Data Science, or a related field, or equivalent combination of education, certifications, and relevant experience.
- Three to five years of experience in cybersecurity, IT engineering, AI solutions, systems administration, or a related technical role.
- Experience implementing, configuring, integrating, or supporting cybersecurity technologies and enterprise IT systems.
- Working knowledge of AI technologies, large language models, automation, APIs, cloud platforms, and secure solution-development practices.
- Experience supporting projects or portfolios, including requirements gathering, status tracking, risk management, stakeholder coordination, and executive reporting.
- Practical experience in one or more cybersecurity disciplines, such as vulnerability management, incident response, security operations, or governance, risk, and compliance.
- Familiarity with cybersecurity and AI governance frameworks, regulatory requirements, and data-protection principles.
- Relevant certifications—such as Security+, CySA+, SSCP, CISSP Associate, cloud, project management, or AI-related credentials—are preferred but not required.
Scope of Duties and Responsibilities
This job description in no way states or implies that these are the only duties to be performed by the employee(s) in this position. Employees will be required to follow any other job-related instructions and perform any other job-related duties requested by supervisors or management.
All duties and responsibilities are essential job functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the employee must possess the required skills, aptitudes, and abilities to perform each duty proficiently.
Additional Details:
Superior Essex is the parent brand of Essex Solutions, Superior Essex Communications, IVA, Lacroix + Kress, Hi-Wire, and Essex Brownell. It has over 3,000 employees in 11 countries, on three continents. Superior Essex is the leading, global provider of magnet wire and is on the forefront of communications fiber application as well as Power over Ethernet (PoE) technology. It is instrumental in creating disruptive technological advancements in the electrification of the automotive, energy, and industrial sectors. Superior Essex is committed to pioneering smart building technology while also setting the pace on sustainability. Superior Essex is Everywhere You Live and Work®. Additional information is available at superioressex.com.
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Get Access To All JobsTips for Finding OPT Sponsorship as an AI Solutions Engineer
Confirm your role qualifies for STEM OPT
AI Solutions Engineer positions almost always qualify for the 24-month STEM OPT extension, but confirm your degree CIP code matches an eligible STEM field before accepting an offer. Your DSO can verify this quickly.
Target employers with an established E-Verify account
STEM OPT extension requires your employer to be enrolled in E-Verify. Ask recruiters directly before investing time in interviews. Most large tech firms and consulting companies already participate, so this rarely eliminates top employers.
Lead with your technical stack, not your visa status
Hiring managers for AI Solutions Engineer roles prioritize candidates who can demonstrate LLM integration, cloud architecture, or ML deployment experience. Establish technical fit first, then address OPT work authorization when the recruiter asks.
Prepare a one-sentence OPT explanation for non-technical recruiters
Many recruiters outside major tech hubs are unfamiliar with OPT. Having a clear, confident explanation ready, such as noting your three-year authorized work period with STEM extension, reduces friction early in the hiring process.
Track your OPT end date and H-1B timeline together
AI Solutions Engineers are strong H-1B visa candidates given high employer demand. Map your OPT expiration against the April H-1B lottery so you know exactly how many application cycles you have before needing another status option.
Document your technical contributions for future visa petitions
Keep detailed records of AI projects, client outcomes, and performance reviews from day one. Strong documentation of specialized work in AI solutions engineering builds a compelling foundation for H-1B specialty occupation arguments and future green card petitions.
AI Solutions Engineer OPT: Frequently Asked Questions
Can I work as an AI Solutions Engineer on OPT?
Yes, provided the role relates directly to your degree field. AI Solutions Engineer positions typically align with computer science, software engineering, or information systems degrees, all of which are STEM-designated. That alignment also makes you eligible for the 24-month STEM OPT extension on top of your initial 12-month OPT period.
Do AI Solutions Engineer employers typically sponsor H-1B visas?
Many do. Employers at cloud providers, enterprise software companies, and AI-focused consulting firms regularly sponsor H-1B visas for this role because AI Solutions Engineers require specialized technical knowledge that supports specialty occupation classification. Migrate Mate filters job listings by sponsorship history, so you can focus on employers with a documented track record of filing.
How does the STEM OPT training plan requirement apply to this role?
During your 24-month STEM extension, your employer must sign a formal training plan (Form I-983) outlining how the role develops your STEM skills. For AI Solutions Engineers, this should document specific learning goals around AI architecture, model deployment, or systems integration. Your employer also needs to be enrolled in E-Verify for the extension to be valid.
What if my AI Solutions Engineer job is fully remote? Does that affect my OPT?
Remote work is generally permitted on OPT, but you must maintain a valid employer-employee relationship and your employer must still be E-Verify enrolled for STEM extension eligibility. Report any change in employment details to your DSO promptly. Prolonged gaps in employment can jeopardize your OPT status, so notify your school within 10 days of any change.
How long does OPT authorize me to work as an AI Solutions Engineer before I need another visa?
Your initial OPT gives you 12 months of work authorization. If your degree is in a STEM field and your employer is E-Verify enrolled, you can apply for a 24-month STEM extension, giving you up to 36 months total. That window covers three H-1B lottery cycles, which matters because AI Solutions Engineers are competitive candidates and may get selected on the first or second attempt.