AI Engineer Visa Sponsorship Jobs in South Carolina
South Carolina's AI engineer job market centers on Charlotte-adjacent employers in the Upstate region, financial services firms in Greenville, and research-connected opportunities near Clemson University and the University of South Carolina. Companies including BMW Manufacturing, Michelin, and Bosch have operations in the state and actively hire technical roles requiring visa sponsorship.
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INTRODUCTION
The Gas Power Configuration Management (CM) organization is responsible for transforming product requirements as well as engineering design intent into actionable product definition. This product definition includes logical bill of material (BOM) product structure and product features (Marketing/Configuration Features). We also manage project documentation needs, internally and externally and collect and organize the document configuration.
Through utilization of our Product Lifecycle Management (PLM) and Enterprise Resource Management (ERP) space, we are able to deliver on-time and quality product definition to supply chain functions globally. Gas Power end customers are also partners and consumers of CM output.
The AI, Innovation, and Process Improvement Leader is a strategic change agent responsible for bridging the gap between cutting-edge technology and operational excellence. This role will spearhead the digital transformation of our business units, leveraging Artificial Intelligence, automation, and Lean methodologies to drive efficiency, eliminate waste, and foster a culture of continuous innovation.
ROLE AND RESPONSIBILITIES
Strategy & Governance
- Develop and execute a multi-year roadmap for integrating AI and automation into core business processes.
- Establish and enforce governance frameworks for responsible AI, ensuring data privacy, model integrity, and compliance with corporate security standards.
- Partner with IT and leadership to ensure technology investments align with business objectives and yield measurable ROI.
Operational Excellence
- Apply Lean Six Sigma methodologies to map value streams, identify bottlenecks, and simplify complex workflows.
- Lead cross-functional initiatives to streamline end-to-end processes, reducing cycle times and operational costs.
- Monitor performance metrics (KPIs) to evaluate the impact of process improvements and provide data-driven reports to executive leadership.
Innovation & Technology Integration
- Evaluate and deploy emerging technologies, including Generative AI, machine learning, and advanced analytics tools, to automate manual tasks.
- Act as the technical lead for tool development and system integration, ensuring seamless connectivity between front-end engineering systems (e.g., PLM) and back-end business tools (e.g., ERP).
- Foster an innovation-first culture by facilitating hackathons, design thinking workshops, and rapid prototyping of new solutions.
Change Management & Leadership
- Lead and mentor team members, promoting a "Vernova Way" mindset that values curiosity, agility, and continuous improvement.
- Design and execute change management plans to ensure seamless user adoption of new tools and processes.
- Provide regular, high-level briefings to executive stakeholders regarding progress, risks, and strategic recommendations.
REQUIRED QUALIFICATIONS
- Bachelor’s degree in Engineering, Computer Science, Business Administration, or a related technical field.
- 5+ years of experience in project management, process improvement, or digital transformation, with a proven track record of leading complex, multi-stakeholder programs.
DESIRED CHARACTERISTICS
- Proficiency in Lean/Six Sigma tools and methodologies.
- Deep understanding of PLM/ERP systems and enterprise-grade software architectures.
- Demonstrated experience in AI/Automation implementation and digital tool integration.
- Strong strategic thinking and influencing skills.
- Exceptional written and oral communication, with the ability to translate complex technical concepts for non-technical stakeholders.
- Proven ability to lead, mentor, and inspire diverse, cross-functional teams.
- A self-starting, high-energy professional with a documented history of delivering measurable results.
- Familiarity with quality management systems (e.g., ISO 9001:2015).
Flexibility: Ability to travel regionally and internationally as required.
Note:
To comply with US immigration and other legal requirements, it is necessary to specify the minimum number of years' experience required for any role based within the USA. For roles outside of the USA, to ensure compliance with applicable legislation, the JDs should focus on the substantive level of experience required for the role and a minimum number of years should NOT be used.
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 $113,200.00 and $188,800.00. 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 10, 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.
AI Engineer Job Roles in South Carolina
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Search AI Engineer Jobs in South CarolinaAI Engineer Jobs in South Carolina: Frequently Asked Questions
Which companies sponsor visas for AI engineers in South Carolina?
Multinational manufacturers with South Carolina operations, including BMW, Michelin, and Bosch, have sponsored H-1B visa workers in engineering and data roles. Financial services and insurance firms based in Greenville and Columbia also appear in Department of Labor LCA disclosure data for technical positions. Sponsorship activity tends to concentrate in larger employers with established HR and legal infrastructure rather than smaller local firms.
Which visa types are most common for AI engineer roles in South Carolina?
The H-1B is the most common visa for AI engineers in South Carolina, as the role qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, machine learning, or a related field. Candidates already holding an F-1 with OPT or STEM OPT extension can work before an H-1B is filed. The O-1A is an option for engineers with documented research publications, patents, or recognized industry contributions.
Which cities in South Carolina have the most AI engineer sponsorship jobs?
Greenville and the broader Upstate region see the highest concentration of technical sponsorship roles, driven by the manufacturing and advanced technology corridor anchored by BMW's Spartanburg plant and supplier networks. Columbia, home to the University of South Carolina and state government technology initiatives, also generates demand. Charleston has a growing tech sector, particularly in defense-adjacent and logistics technology, that produces AI engineering openings.
How to find ai engineer visa sponsorship jobs in South Carolina?
Migrate Mate filters AI engineer jobs specifically to employers who have demonstrated visa sponsorship history, so you can search South Carolina without sorting through postings from companies that don't sponsor. Because South Carolina's sponsoring employers span manufacturing, finance, and defense technology rather than a single industry, filtering by role and state on Migrate Mate is more efficient than broad job searches that surface sponsorship-unfriendly listings.
Are there university or research pipelines that connect AI engineers to sponsoring employers in South Carolina?
Clemson University's AI research programs and the University of South Carolina's computer science department both produce graduates who enter local industry, and some employers recruit directly from these pipelines. International students at these institutions often transition from OPT to H-1B sponsorship with employers in the Upstate or Midlands regions. Proximity to these universities can make Greenville and Columbia particularly active markets for early-career AI engineers seeking sponsorship.
What is the prevailing wage for sponsored ai engineer jobs in South Carolina?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.