AI Product Engineer Visa Sponsorship Jobs in North Carolina
North Carolina's growing tech sector, anchored by Research Triangle Park and companies like Red Hat, Lenovo, and Cisco, creates steady demand for AI Product Engineers. Raleigh, Durham, and Charlotte are the primary hiring hubs. Many employers in the region have active H-1B visa sponsorship histories, making North Carolina one of the more active states for this role.
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Cypress Creek Renewables is powering a sustainable future, one project at a time. We develop, finance, own and operate utility-scale and distributed solar and storage projects across the country. Fostering a diverse group of innovative thinkers from all backgrounds, Cypress people are drawn to work in a purpose-driven organization. We hope you will join us.
Overview
CCRenew is seeking an experienced AI Product Manager / Engineer to drive the development and deployment of artificial intelligence and machine learning solutions across our solar project development lifecycle. This is a high-impact, cross-functional role sitting at the intersection of renewable energy domain expertise and advanced technology. Reporting directly to the Chief Technology Officer, you will own the product roadmap for AI-powered tools that streamline site selection, EPC procurement and management, interconnection analysis, and construction oversight.
The ideal candidate brings a rare combination of hands-on experience in solar development—including navigating EPC contracts, interconnection queues, and greenfield site assessment—and proven ability to translate complex business problems into scalable AI/ML products. You will partner closely with project development, engineering, and operations teams to identify high-value automation and intelligence opportunities, then lead end-to-end delivery.
Responsibilities
AI Product Strategy & Roadmap
- Define and own the AI product roadmap aligned with CCRenew’s solar development pipeline strategy and CTO vision.
- Identify opportunities to apply machine learning, computer vision, geospatial AI, and predictive analytics across the development lifecycle.
- Translate domain pain points in site selection, EPC management, interconnects, and construction into structured, prioritized product requirements.
- Build and maintain stakeholder alignment across development, engineering, finance, and legal teams.
Site Selection & Geospatial Intelligence
- Lead development of AI-driven site screening and scoring tools that evaluate land availability, solar irradiance, transmission proximity, environmental constraints, and permitting risk.
- Integrate geospatial data sources (LiDAR, satellite imagery, GIS layers) into automated site analysis workflows.
- Build predictive models for site feasibility scoring that reduce manual assessment time and improve go/no-go decision quality.
Interconnection & Transmission
- Develop AI tools to model and forecast interconnection queue positions, study timelines, and upgrade cost scenarios across MISO, PJM, CAISO, ERCOT, and other ISOs/RTOs.
- Build automated monitoring systems for regulatory queue changes, FERC Order compliance, and interconnection agreement milestones.
- Apply NLP and document intelligence to process study results, interconnection agreements, and utility correspondence at scale.
EPC & Procurement Intelligence
- Design AI-powered tools for EPC bid analysis, contract risk scoring, and subcontractor performance benchmarking.
- Develop cost estimation and variance prediction models informed by equipment pricing trends, labor markets, and project-specific variables.
- Automate review of EPC contracts, change orders, and scope documents using large language model (LLM) pipelines.
Construction Monitoring & Project Controls
- Build AI solutions for real-time construction progress tracking using drone imagery, IoT sensor data, and project management integrations.
- Develop schedule risk and delay prediction models that surface issues early and recommend mitigation actions.
- Create automated reporting and alerting systems that consolidate field data, RFI logs, inspection records, and milestone tracking.
Engineering & Technical Leadership
- Architect and, where required, directly engineer ML pipelines, data ingestion systems, and model deployment infrastructure.
- Partner with data engineering and software engineering to ensure production-grade reliability, scalability, and security of AI systems.
- Establish model monitoring, drift detection, and retraining workflows for deployed models.
- Evaluate and integrate third-party AI tools, APIs, and vendor platforms relevant to the solar development stack.
Required Qualifications
Renewable Energy Domain Expertise
- 7+ years of direct experience in solar energy, with significant time spent in the development phase of utility-scale projects.
- Deep familiarity with the full solar development lifecycle: site control, permitting, interconnection, EPC procurement, construction, and commercial operations.
- Hands-on experience navigating interconnection processes with one or more ISOs/RTOs (MISO, PJM, CAISO, SPP, ERCOT, NYISO, or Southeast utilities).
- Working knowledge of EPC contract structures, lump-sum vs. cost-plus arrangements, LD provisions, and construction risk allocation.
- Understanding of solar site selection criteria including GHI/DNI analysis, land use constraints, transmission access, and environmental review processes.
AI / Technology Skills
- Proven track record delivering AI or ML products from concept through production deployment.
- Proficiency in Python and familiarity with core ML frameworks (scikit-learn, TensorFlow, PyTorch, XGBoost, or similar).
- Experience with geospatial data analysis (GeoPandas, QGIS, ArcGIS, Google Earth Engine, or equivalent).
- Familiarity with LLM application development, prompt engineering, and RAG architectures for document intelligence use cases.
- Comfort working with cloud platforms (AWS, Azure, or GCP) and modern data infrastructure (Snowflake, dbt, Spark, Airflow).
Product & Leadership Skills
- Demonstrated ability to own a product roadmap and drive delivery in a fast-paced, cross-functional environment.
- Strong written and verbal communication skills; ability to present complex technical concepts to non-technical stakeholders, including C-suite.
- Experience working in or alongside development, engineering, or project finance teams at an IPP, developer, or EPC firm.
- Embrace and live by the mission and values of Cypress Creek Renewables.
Preferred Qualifications
- Master’s degree or PhD in Computer Science, Data Science, Electrical Engineering, Environmental Science, or a related field.
- Prior experience in a product manager or technical product lead role at a renewable energy company, energy tech startup, or utility.
- Familiarity with FERC regulations, NERC standards, and state-level renewable energy policy frameworks.
- Experience with computer vision or remote sensing applications (e.g., aerial/satellite image analysis for construction progress or land assessment).
- Knowledge of energy storage (BESS) co-location development and its impact on interconnection and site planning.
- Background in power flow modeling or transmission planning tools (PSS/E, PowerWorld, PSCAD).
- Experience with project management platforms such as Procore, Oracle Primavera, or similar construction management tools.
Qualified candidates are encouraged to submit a resume and a brief cover letter describing their solar development experience and vision for AI in the energy sector.
Location: The preferred location for this role is Durham, NC. Our team operates on a hybrid schedule, with in-office schedule of three days per week.
Benefits:
- 15 days of Paid Time Off, accrual up to 20 days, 11 observed holidays.
- 401(k) Match
- Comprehensive package including medical, dental, vision and health insurance
- Wellness stipend, family planning stipend, and generous parental leave
- Tuition Reimbursement
- Phone Bill Reimbursement
- Company Swag
A note to Recruiting Agencies: Cypress Creek Renewables Human Resources team does not accept unsolicited resumes from third party recruiters, staffing firms, or related agencies. The Human Resources team coordinates all recruiting and hiring at our company. We do not accept resumes from third-party recruiters unless authorized by the Human Resources team and if a signed agreement is in place. Any unsolicited resumes will be considered property of CCR and we are not responsible for any related fees. All communication related to recruiting partnerships should ONLY be directed to the Human Resources team.
Cypress Creek Renewables is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. We are committed to providing a workplace that is inclusive and values diversity, and we encourage candidates from all backgrounds to apply.
Please be aware of recruiting scams—official communications will only come from @ccrenew.com, we will never request personal or financial information, and any suspicious activity should be reported to HR@ccrenew.com.
The Company
Cypress Creek Renewables is powering a sustainable future, one project at a time. We develop, finance, own and operate utility-scale and distributed solar and storage projects across the country. Fostering a diverse group of innovative thinkers from all backgrounds, Cypress people are drawn to work in a purpose-driven organization. We hope you will join us.
Overview
CCRenew is seeking an experienced AI Product Manager / Engineer to drive the development and deployment of artificial intelligence and machine learning solutions across our solar project development lifecycle. This is a high-impact, cross-functional role sitting at the intersection of renewable energy domain expertise and advanced technology. Reporting directly to the Chief Technology Officer, you will own the product roadmap for AI-powered tools that streamline site selection, EPC procurement and management, interconnection analysis, and construction oversight.
The ideal candidate brings a rare combination of hands-on experience in solar development—including navigating EPC contracts, interconnection queues, and greenfield site assessment—and proven ability to translate complex business problems into scalable AI/ML products. You will partner closely with project development, engineering, and operations teams to identify high-value automation and intelligence opportunities, then lead end-to-end delivery.
Responsibilities
AI Product Strategy & Roadmap
- Define and own the AI product roadmap aligned with CCRenew’s solar development pipeline strategy and CTO vision.
- Identify opportunities to apply machine learning, computer vision, geospatial AI, and predictive analytics across the development lifecycle.
- Translate domain pain points in site selection, EPC management, interconnects, and construction into structured, prioritized product requirements.
- Build and maintain stakeholder alignment across development, engineering, finance, and legal teams.
Site Selection & Geospatial Intelligence
- Lead development of AI-driven site screening and scoring tools that evaluate land availability, solar irradiance, transmission proximity, environmental constraints, and permitting risk.
- Integrate geospatial data sources (LiDAR, satellite imagery, GIS layers) into automated site analysis workflows.
- Build predictive models for site feasibility scoring that reduce manual assessment time and improve go/no-go decision quality.
Interconnection & Transmission
- Develop AI tools to model and forecast interconnection queue positions, study timelines, and upgrade cost scenarios across MISO, PJM, CAISO, ERCOT, and other ISOs/RTOs.
- Build automated monitoring systems for regulatory queue changes, FERC Order compliance, and interconnection agreement milestones.
- Apply NLP and document intelligence to process study results, interconnection agreements, and utility correspondence at scale.
EPC & Procurement Intelligence
- Design AI-powered tools for EPC bid analysis, contract risk scoring, and subcontractor performance benchmarking.
- Develop cost estimation and variance prediction models informed by equipment pricing trends, labor markets, and project-specific variables.
- Automate review of EPC contracts, change orders, and scope documents using large language model (LLM) pipelines.
Construction Monitoring & Project Controls
- Build AI solutions for real-time construction progress tracking using drone imagery, IoT sensor data, and project management integrations.
- Develop schedule risk and delay prediction models that surface issues early and recommend mitigation actions.
- Create automated reporting and alerting systems that consolidate field data, RFI logs, inspection records, and milestone tracking.
Engineering & Technical Leadership
- Architect and, where required, directly engineer ML pipelines, data ingestion systems, and model deployment infrastructure.
- Partner with data engineering and software engineering to ensure production-grade reliability, scalability, and security of AI systems.
- Establish model monitoring, drift detection, and retraining workflows for deployed models.
- Evaluate and integrate third-party AI tools, APIs, and vendor platforms relevant to the solar development stack.
Required Qualifications
Renewable Energy Domain Expertise
- 7+ years of direct experience in solar energy, with significant time spent in the development phase of utility-scale projects.
- Deep familiarity with the full solar development lifecycle: site control, permitting, interconnection, EPC procurement, construction, and commercial operations.
- Hands-on experience navigating interconnection processes with one or more ISOs/RTOs (MISO, PJM, CAISO, SPP, ERCOT, NYISO, or Southeast utilities).
- Working knowledge of EPC contract structures, lump-sum vs. cost-plus arrangements, LD provisions, and construction risk allocation.
- Understanding of solar site selection criteria including GHI/DNI analysis, land use constraints, transmission access, and environmental review processes.
AI / Technology Skills
- Proven track record delivering AI or ML products from concept through production deployment.
- Proficiency in Python and familiarity with core ML frameworks (scikit-learn, TensorFlow, PyTorch, XGBoost, or similar).
- Experience with geospatial data analysis (GeoPandas, QGIS, ArcGIS, Google Earth Engine, or equivalent).
- Familiarity with LLM application development, prompt engineering, and RAG architectures for document intelligence use cases.
- Comfort working with cloud platforms (AWS, Azure, or GCP) and modern data infrastructure (Snowflake, dbt, Spark, Airflow).
Product & Leadership Skills
- Demonstrated ability to own a product roadmap and drive delivery in a fast-paced, cross-functional environment.
- Strong written and verbal communication skills; ability to present complex technical concepts to non-technical stakeholders, including C-suite.
- Experience working in or alongside development, engineering, or project finance teams at an IPP, developer, or EPC firm.
- Embrace and live by the mission and values of Cypress Creek Renewables.
Preferred Qualifications
- Master’s degree or PhD in Computer Science, Data Science, Electrical Engineering, Environmental Science, or a related field.
- Prior experience in a product manager or technical product lead role at a renewable energy company, energy tech startup, or utility.
- Familiarity with FERC regulations, NERC standards, and state-level renewable energy policy frameworks.
- Experience with computer vision or remote sensing applications (e.g., aerial/satellite image analysis for construction progress or land assessment).
- Knowledge of energy storage (BESS) co-location development and its impact on interconnection and site planning.
- Background in power flow modeling or transmission planning tools (PSS/E, PowerWorld, PSCAD).
- Experience with project management platforms such as Procore, Oracle Primavera, or similar construction management tools.
Qualified candidates are encouraged to submit a resume and a brief cover letter describing their solar development experience and vision for AI in the energy sector.
Location: The preferred location for this role is Durham, NC. Our team operates on a hybrid schedule, with in-office schedule of three days per week.
Benefits:
- 15 days of Paid Time Off, accrual up to 20 days, 11 observed holidays.
- 401(k) Match
- Comprehensive package including medical, dental, vision and health insurance
- Wellness stipend, family planning stipend, and generous parental leave
- Tuition Reimbursement
- Phone Bill Reimbursement
- Company Swag
A note to Recruiting Agencies: Cypress Creek Renewables Human Resources team does not accept unsolicited resumes from third party recruiters, staffing firms, or related agencies. The Human Resources team coordinates all recruiting and hiring at our company. We do not accept resumes from third-party recruiters unless authorized by the Human Resources team and if a signed agreement is in place. Any unsolicited resumes will be considered property of CCR and we are not responsible for any related fees. All communication related to recruiting partnerships should ONLY be directed to the Human Resources team.
Cypress Creek Renewables is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. We are committed to providing a workplace that is inclusive and values diversity, and we encourage candidates from all backgrounds to apply.
Please be aware of recruiting scams—official communications will only come from @ccrenew.com, we will never request personal or financial information, and any suspicious activity should be reported to HR@ccrenew.com.
AI Product Engineer Job Roles in North Carolina
See all 570+ AI Product Engineer Jobs in North Carolina
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Search AI Product Engineer Jobs in North CarolinaAI Product Engineer Jobs in North Carolina: Frequently Asked Questions
Which companies sponsor visas for AI Product Engineers in North Carolina?
Several large employers in North Carolina have documented H-1B sponsorship histories for engineering roles involving AI and product development. These include Red Hat in Raleigh, Lenovo's North American headquarters in Morrisville, Cisco's Research Triangle offices, and SAS Institute in Cary. Financial technology firms in Charlotte, including Bank of America and Wells Fargo, also sponsor AI-focused engineering positions.
Which visa types are most common for AI Product Engineer roles in North Carolina?
The H-1B is by far the most common visa category for AI Product Engineers in North Carolina, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, engineering, or a related field. Employers may also sponsor L-1B visas for intracompany transfers. Candidates with an active O-1A petition may find opportunities with larger tech employers in the Research Triangle area.
Which cities in North Carolina have the most AI Product Engineer sponsorship jobs?
Raleigh and the broader Research Triangle Park corridor, which includes Durham and Cary, account for the largest concentration of AI Product Engineer sponsorship opportunities in North Carolina. Charlotte is the second major hub, driven by its financial services and fintech sectors. Smaller but growing pockets of tech hiring exist in Morrisville, Chapel Hill, and Wilmington, particularly among software and health tech companies.
How to find ai product engineer visa sponsorship jobs in North Carolina?
Migrate Mate is built specifically for international job seekers and filters AI Product Engineer roles by visa sponsorship status, so you can browse North Carolina-specific openings without sifting through positions that don't offer sponsorship. The platform focuses on verified sponsoring employers, which is particularly useful for targeting Research Triangle Park companies and Charlotte-area tech and finance firms known to sponsor H-1B candidates.
Are there state-specific factors AI Product Engineers should know about sponsorship in North Carolina?
North Carolina's university pipeline, particularly from NC State, Duke, and UNC Chapel Hill, feeds a competitive talent market for AI and machine learning roles. Employers in Research Triangle Park are generally experienced with visa sponsorship processes given the area's long history of attracting international talent. SAS Institute and Red Hat in particular have well-established immigration support infrastructure, which can make the sponsorship process more predictable for candidates joining those organizations.
What is the prevailing wage for sponsored ai product engineer jobs in North 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.