OPT AI Specialist Jobs
AI Specialist roles are among the strongest fits for F-1 OPT students, with most positions qualifying under STEM OPT extension criteria. The field spans machine learning engineering, NLP, and computer vision, and many employers in tech and enterprise software have established OPT sponsorship workflows through prior STEM hires.
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Get Access To All JobsINTRODUCTION
The AI Strategy & Transformation Operations Leader is a staff-level role within GE Vernova's Wind Engineering AI Strategy & Transformation team. This role is accountable for operational excellence across the team — ensuring that the systems, processes, and rhythms needed to run a high-performing AI transformation function are in place, operating efficiently, and continuously improving. Serving as the operational backbone of the team, the Operations Leader enables the AI Portfolio Manager, AI Adoption & Enablement Leader, and Senior AI Architects to focus on their strategic priorities by maintaining the operational infrastructure that keeps the team aligned, visible, and effective. Reporting to the Director, AI Strategy & Transformation, this individual works across portfolio operations, enablement support, stakeholder coordination, and cross-functional program management to ensure the team operates with discipline and consistency.
Key Responsibilities
Own Operational Excellence for the AI Strategy & Transformation Team
- Design, implement, and continuously improve standard work for team operations, including meeting cadences, reporting cycles, intake processes, and documentation standards.
- Own the team's operating calendar and ensure alignment across portfolio reviews, governance checkpoints, leadership briefings, and cross-functional coordination sessions.
- Identify inefficiencies across team processes — intake, tracking, reporting, and communication — and drive structured improvements using Lean and continuous improvement principles.
- Develop and maintain standard templates, playbooks, and repeatable execution frameworks that scale with team and portfolio growth.
- Lead Kaizen activities and operational excellence initiatives that improve the effectiveness and velocity of the AI transformation team.
Support AI Portfolio Execution and Governance
- Maintain portfolio dashboards, initiative trackers, and status reporting assets, ensuring leadership has current and accurate visibility into portfolio health.
- Coordinate governance activities including stage-gate reviews, portfolio scorecards, and milestone tracking — ensuring they operate on schedule and with appropriate preparation.
- Track AI initiatives through lifecycle stages: opportunity identification, proof of concept, pilot, production deployment, and scaling.
- Flag risks, delays, and execution gaps to the AI Portfolio Manager and escalate issues requiring leadership attention.
- Prepare briefing materials, summary reports, and governance documentation in support of portfolio reviews.
Support AI Adoption and Enablement Operations
- Track adoption metrics, utilization patterns, and user satisfaction data across deployed AI tools, maintaining dashboards used by the Adoption Leader and Director.
- Assist with the coordination and logistics of training programs, enablement sessions, and AI communities of practice events.
- Help develop and maintain training content, enablement materials, and role-based competency resources.
- Identify adoption barriers surfaced through metrics or user feedback and ensure they are documented and actioned.
- Support communications activities including AI newsletters, awareness campaigns, and change management content.
Conduct Research, Analysis, and Strategic Support
- Conduct landscape analysis on AI tools, vendor capabilities, and industry practices to inform investment and adoption decisions.
- Synthesize portfolio performance data, adoption metrics, and stakeholder feedback into actionable insights and leadership-ready recommendations.
- Support business case development for new AI initiatives, including value quantification, cost-benefit framing, and risk assessment.
- Prepare executive briefings, board-level presentations, and governance documentation on behalf of the Director and team.
- Research legal, ethical, and organizational dimensions of AI deployment in industrial engineering contexts.
Coordinate Cross-Functional Stakeholder Engagement
- Serve as a coordination point between Engineering, Digital, Finance, ARC Foundry, and HR teams on AI initiatives and enablement programs.
- Facilitate cross-functional working sessions, ensuring participants are prepared, agendas are clear, and outcomes are documented.
- Prepare and distribute team communications that build organizational awareness and trust in AI tools and initiatives.
- Partner with embedded AI Architects and engineering leads to understand workflow needs and surface priorities for the broader team.
Required qualifications:
- Bachelor’s degree in a relevant field required; MBA or advanced degree preferred (graduate-level coursework in AI, business analytics, technology strategy, or organizational management highly preferred).
- 3+ years of experience in operational excellence, program coordination, or transformation support within a complex technical or matrixed organization.
- Proven ability to synthesize complex data into actionable insights and leadership-ready recommendations (demonstrated through 3+ years of professional experience).
- 2+ years of experience working with data and analytics tools, including the development of dashboards, performance reporting, and identifying trends.
Preferred Qualifications
- Strong analytical and quantitative skills, with the ability to synthesize information into clear insights and leadership-ready recommendations.
- Excellent written and verbal communication skills, with experience preparing materials for senior and executive audiences.
- Proven ability to manage multiple competing priorities, maintain accuracy under time pressure, and deliver consistently in ambiguous environments.
- Collaborative working style with experience building relationships across functions and influencing without direct authority.
- Comfort with data and analytics — including dashboards, trend analysis, and performance reporting.
GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
Relocation Assistance Provided: Yes
For candidates applying to a U.S. based position, the pay range for this position is between $89,300.00 and $148,700.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set.
Bonus eligibility: discretionary annual bonus.
This posting is expected to remain open for at least seven days after it was posted on September 17, 2026.
Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.
GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.
INTRODUCTION
The AI Strategy & Transformation Operations Leader is a staff-level role within GE Vernova's Wind Engineering AI Strategy & Transformation team. This role is accountable for operational excellence across the team — ensuring that the systems, processes, and rhythms needed to run a high-performing AI transformation function are in place, operating efficiently, and continuously improving. Serving as the operational backbone of the team, the Operations Leader enables the AI Portfolio Manager, AI Adoption & Enablement Leader, and Senior AI Architects to focus on their strategic priorities by maintaining the operational infrastructure that keeps the team aligned, visible, and effective. Reporting to the Director, AI Strategy & Transformation, this individual works across portfolio operations, enablement support, stakeholder coordination, and cross-functional program management to ensure the team operates with discipline and consistency.
Key Responsibilities
Own Operational Excellence for the AI Strategy & Transformation Team
- Design, implement, and continuously improve standard work for team operations, including meeting cadences, reporting cycles, intake processes, and documentation standards.
- Own the team's operating calendar and ensure alignment across portfolio reviews, governance checkpoints, leadership briefings, and cross-functional coordination sessions.
- Identify inefficiencies across team processes — intake, tracking, reporting, and communication — and drive structured improvements using Lean and continuous improvement principles.
- Develop and maintain standard templates, playbooks, and repeatable execution frameworks that scale with team and portfolio growth.
- Lead Kaizen activities and operational excellence initiatives that improve the effectiveness and velocity of the AI transformation team.
Support AI Portfolio Execution and Governance
- Maintain portfolio dashboards, initiative trackers, and status reporting assets, ensuring leadership has current and accurate visibility into portfolio health.
- Coordinate governance activities including stage-gate reviews, portfolio scorecards, and milestone tracking — ensuring they operate on schedule and with appropriate preparation.
- Track AI initiatives through lifecycle stages: opportunity identification, proof of concept, pilot, production deployment, and scaling.
- Flag risks, delays, and execution gaps to the AI Portfolio Manager and escalate issues requiring leadership attention.
- Prepare briefing materials, summary reports, and governance documentation in support of portfolio reviews.
Support AI Adoption and Enablement Operations
- Track adoption metrics, utilization patterns, and user satisfaction data across deployed AI tools, maintaining dashboards used by the Adoption Leader and Director.
- Assist with the coordination and logistics of training programs, enablement sessions, and AI communities of practice events.
- Help develop and maintain training content, enablement materials, and role-based competency resources.
- Identify adoption barriers surfaced through metrics or user feedback and ensure they are documented and actioned.
- Support communications activities including AI newsletters, awareness campaigns, and change management content.
Conduct Research, Analysis, and Strategic Support
- Conduct landscape analysis on AI tools, vendor capabilities, and industry practices to inform investment and adoption decisions.
- Synthesize portfolio performance data, adoption metrics, and stakeholder feedback into actionable insights and leadership-ready recommendations.
- Support business case development for new AI initiatives, including value quantification, cost-benefit framing, and risk assessment.
- Prepare executive briefings, board-level presentations, and governance documentation on behalf of the Director and team.
- Research legal, ethical, and organizational dimensions of AI deployment in industrial engineering contexts.
Coordinate Cross-Functional Stakeholder Engagement
- Serve as a coordination point between Engineering, Digital, Finance, ARC Foundry, and HR teams on AI initiatives and enablement programs.
- Facilitate cross-functional working sessions, ensuring participants are prepared, agendas are clear, and outcomes are documented.
- Prepare and distribute team communications that build organizational awareness and trust in AI tools and initiatives.
- Partner with embedded AI Architects and engineering leads to understand workflow needs and surface priorities for the broader team.
Required qualifications:
- Bachelor’s degree in a relevant field required; MBA or advanced degree preferred (graduate-level coursework in AI, business analytics, technology strategy, or organizational management highly preferred).
- 3+ years of experience in operational excellence, program coordination, or transformation support within a complex technical or matrixed organization.
- Proven ability to synthesize complex data into actionable insights and leadership-ready recommendations (demonstrated through 3+ years of professional experience).
- 2+ years of experience working with data and analytics tools, including the development of dashboards, performance reporting, and identifying trends.
Preferred Qualifications
- Strong analytical and quantitative skills, with the ability to synthesize information into clear insights and leadership-ready recommendations.
- Excellent written and verbal communication skills, with experience preparing materials for senior and executive audiences.
- Proven ability to manage multiple competing priorities, maintain accuracy under time pressure, and deliver consistently in ambiguous environments.
- Collaborative working style with experience building relationships across functions and influencing without direct authority.
- Comfort with data and analytics — including dashboards, trend analysis, and performance reporting.
GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
Relocation Assistance Provided: Yes
For candidates applying to a U.S. based position, the pay range for this position is between $89,300.00 and $148,700.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set.
Bonus eligibility: discretionary annual bonus.
This posting is expected to remain open for at least seven days after it was posted on September 17, 2026.
Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.
GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.
See all 367+ OPT AI Specialist Jobs
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Get Access To All JobsTips for Finding OPT Sponsorship as an AI Specialist
Lead with your STEM OPT timeline upfront
When reaching out to hiring managers, mention your three-year STEM OPT window early. Many employers conflate OPT with the standard 12-month limit, and clarifying your full authorization period removes the most common reason AI teams decline to interview international candidates.
Target employers with existing H-1B filings for AI roles
Companies that have previously sponsored H-1B visa petitions for machine learning engineers or data scientists are far more likely to extend OPT sponsorship. Search USCIS H-1B visa disclosure data to verify which employers already have infrastructure to support international hires in technical AI roles.
Frame your degree field explicitly in applications
STEM OPT eligibility depends on your degree classification. Computer science, electrical engineering, and statistics all qualify. State your degree field and STEM designation explicitly on your resume and in cover letters so hiring teams can confirm OPT viability without back-and-forth clarification.
Prioritize mid-size tech companies over large enterprise
Mid-size AI companies and growth-stage startups often move faster on OPT hiring decisions than large enterprises with rigid HR systems. They also tend to have lean legal relationships with immigration counsel, making the E-Verify and reporting steps quicker to execute for your employer.
Align your role title to your degree on the I-983
Your employer must complete Form I-983 for STEM OPT, which requires describing how the AI Specialist role directly relates to your degree. Work with your hiring manager before your start date to draft language connecting your specific duties, such as model training or deployment, to your academic field.
Use Migrate Mate to filter for OPT-verified AI roles
Many AI job listings never specify visa sponsorship willingness, which wastes application time. Migrate Mate surfaces roles from employers verified to hire on OPT, so you can focus your search on companies already prepared to support your work authorization status without requiring you to vet each listing manually.
AI Specialist OPT: Frequently Asked Questions
Do AI Specialist roles qualify for the STEM OPT extension?
Most do, provided your underlying degree falls under an approved STEM field such as computer science, data science, electrical engineering, or applied mathematics. The role itself must also be directly related to that field of study. Job titles like AI Specialist, Machine Learning Engineer, and NLP Engineer consistently meet this standard, but your DSO makes the final determination based on your specific degree and job description.
How do I find AI employers who are willing to hire on OPT?
Migrate Mate is built specifically for this. It aggregates AI Specialist roles from employers with a demonstrated history of hiring international students on OPT and H-1B, filtering out listings where sponsorship is explicitly excluded. This saves you from cold-applying to companies that will reject you at the offer stage once your work authorization comes up.
What does an employer actually have to do to hire me on OPT as an AI Specialist?
For standard OPT, your employer must be enrolled in E-Verify. That is the only hard requirement. For STEM OPT extension, they must also be enrolled in E-Verify at the time of your I-983 submission, provide a formal training plan describing how the AI role supports your degree, and submit a six-month and annual evaluation during your extension period.
Can I work as an AI Specialist contractor or through a staffing agency on OPT?
Yes, but with important constraints. For standard OPT, contract and staffing arrangements are generally permitted. For STEM OPT extension, USCIS requires that you have a bona fide employer-employee relationship with the sponsoring company. If you are placed at a client site through an agency, the end client must sign the I-983 and function as your actual supervisor and trainer, not the staffing agency.
What happens to my OPT authorization if my AI Specialist role changes significantly at the same employer?
A substantial change in job duties may require an updated I-983 training plan for STEM OPT students. If your role shifts from model development to a function unrelated to your degree, such as general product management, your STEM OPT eligibility could be at risk. Notify your DSO whenever your core responsibilities change materially, and document how the new duties still connect to your field of study.