Senior AI Software Engineer Visa Sponsorship Jobs in North Carolina
North Carolina's senior AI software engineer market centers on the Research Triangle, where companies like Red Hat, Lenovo, and SAS Institute actively hire for AI roles. Duke University and NC State's computer science pipelines feed talent into Raleigh-Durham and Charlotte. Visa sponsorship is common for qualified senior-level candidates across the state's fast-growing tech sector.
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INTRODUCTION
We are seeking a Senior Agentic Software Engineer to design, build, and operate production-grade AI agent systems that augment and automate real business workflows.
This role goes beyond prompt engineering or demo-level prototypes. You will own agentic systems end-to-end—from architecture and integration with existing services, to reliability, evaluation, and long-term operation. You’ll work closely with product, platform, and domain experts to deliver agentic capabilities that are trustworthy, scalable, and measurable, while helping define how agentic systems are built across the organization.
ROLE AND RESPONSIBILITIES:
What You’ll Do:
- Design, build, and operate agentic systems that reliably complete real tasks, not just answer questions.
- Architect agents that support planning, memory, tool use, and multi-step execution, selecting appropriate patterns (single-agent, multi-agent, workflow-driven, human-in-the-loop) based on problem constraints and risk.
- Balance autonomy with control by designing agents that are predictable, debuggable, secure, and aligned with business goals.
- Build agents using modern frameworks (e.g., LangGraph, LangChain, Semantic Kernel, AutoGen, or equivalent), implementing structured outputs, tool-calling, reflection, and state management.
- Design and implement MCP- and/or RAG-based integrations as first-class mechanisms for how agents access tools, data, and context.
- Enforce security, consent, access control, and observability across all agent–tool interactions, partnering with platform teams to establish and evolve MCP integration standards.
- Integrate agentic systems into existing services and platforms via APIs and backend services, owning production readiness end-to-end.
- Define what “good” looks like for agents using clear metrics (e.g., accuracy, success rate, latency, cost, failure modes), and use those metrics to drive continuous improvement.
- Build automated evaluation pipelines (offline tests, synthetic data, regression checks) and instrument agents with tracing, logging, and observability to support debugging and iteration in production.
- Design fallback, recovery, and human-escalation mechanisms for failure scenarios, proactively identifying and mitigating failure modes.
- Establish architectural standards and best practices for agentic development, raising the technical bar through design reviews, documentation, mentorship, and knowledge sharing.
- Partner with product and domain stakeholders to shape solutions, make informed trade-offs, and ensure agentic systems deliver meaningful business impact.
BASIC QUALIFICATIONS:
You will work on agentic systems in the context of:
- 5+ years of hands-on experience in developing RESTful APIs, microservices, and Kubernetes operators, with an emphasis on testability, scalability, and maintainability.
- Develop and maintain highly scalable, efficient, performant & resilient capabilities, meeting availability targets of 99.99%.
- Leverage your advanced experience of Public and Private cloud environments and container runtime environments, working with other specialists of Networks, Firewall, Security, computing & storage technologies to develop, operate and support the platform.
- Using Infrastructure As Code (IAC) best practices, create automated infrastructure within AWS/Azure, on on-premise environments, including package management, application load/configuration, systems monitoring and administration.
- These domains require agents that operate on real, evolving data, integrate deeply with existing systems, and meet a high bar for correctness, traceability, and user trust.
WHY US?
Working at Siemens Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software. A collection of over 377,000 minds building the future one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow!
Siemens Software. Transform the Everyday with Us
LI-PLM
LI-HYBRID
SWSaaS
LI-JJ1
129,600 233,300 5-10

INTRODUCTION
We are seeking a Senior Agentic Software Engineer to design, build, and operate production-grade AI agent systems that augment and automate real business workflows.
This role goes beyond prompt engineering or demo-level prototypes. You will own agentic systems end-to-end—from architecture and integration with existing services, to reliability, evaluation, and long-term operation. You’ll work closely with product, platform, and domain experts to deliver agentic capabilities that are trustworthy, scalable, and measurable, while helping define how agentic systems are built across the organization.
ROLE AND RESPONSIBILITIES:
What You’ll Do:
- Design, build, and operate agentic systems that reliably complete real tasks, not just answer questions.
- Architect agents that support planning, memory, tool use, and multi-step execution, selecting appropriate patterns (single-agent, multi-agent, workflow-driven, human-in-the-loop) based on problem constraints and risk.
- Balance autonomy with control by designing agents that are predictable, debuggable, secure, and aligned with business goals.
- Build agents using modern frameworks (e.g., LangGraph, LangChain, Semantic Kernel, AutoGen, or equivalent), implementing structured outputs, tool-calling, reflection, and state management.
- Design and implement MCP- and/or RAG-based integrations as first-class mechanisms for how agents access tools, data, and context.
- Enforce security, consent, access control, and observability across all agent–tool interactions, partnering with platform teams to establish and evolve MCP integration standards.
- Integrate agentic systems into existing services and platforms via APIs and backend services, owning production readiness end-to-end.
- Define what “good” looks like for agents using clear metrics (e.g., accuracy, success rate, latency, cost, failure modes), and use those metrics to drive continuous improvement.
- Build automated evaluation pipelines (offline tests, synthetic data, regression checks) and instrument agents with tracing, logging, and observability to support debugging and iteration in production.
- Design fallback, recovery, and human-escalation mechanisms for failure scenarios, proactively identifying and mitigating failure modes.
- Establish architectural standards and best practices for agentic development, raising the technical bar through design reviews, documentation, mentorship, and knowledge sharing.
- Partner with product and domain stakeholders to shape solutions, make informed trade-offs, and ensure agentic systems deliver meaningful business impact.
BASIC QUALIFICATIONS:
You will work on agentic systems in the context of:
- 5+ years of hands-on experience in developing RESTful APIs, microservices, and Kubernetes operators, with an emphasis on testability, scalability, and maintainability.
- Develop and maintain highly scalable, efficient, performant & resilient capabilities, meeting availability targets of 99.99%.
- Leverage your advanced experience of Public and Private cloud environments and container runtime environments, working with other specialists of Networks, Firewall, Security, computing & storage technologies to develop, operate and support the platform.
- Using Infrastructure As Code (IAC) best practices, create automated infrastructure within AWS/Azure, on on-premise environments, including package management, application load/configuration, systems monitoring and administration.
- These domains require agents that operate on real, evolving data, integrate deeply with existing systems, and meet a high bar for correctness, traceability, and user trust.
WHY US?
Working at Siemens Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software. A collection of over 377,000 minds building the future one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow!
Siemens Software. Transform the Everyday with Us
LI-PLM
LI-HYBRID
SWSaaS
LI-JJ1
129,600 233,300 5-10
Senior AI Software Engineer Job Roles in North Carolina
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Search Senior AI Software Engineer Jobs in North CarolinaSenior AI Software Engineer Jobs in North Carolina: Frequently Asked Questions
Which companies sponsor visas for senior AI software engineers in North Carolina?
Several major employers in North Carolina sponsor visas for senior AI software engineers, including SAS Institute, Red Hat, Lenovo, and Fidelity Investments. The Research Triangle region hosts a dense concentration of tech companies and research-driven firms. Healthcare organizations like Duke Health and UNC Health are also increasingly hiring AI engineers and have sponsored work visas for qualified candidates.
Which visa types are most common for senior AI software engineer roles in North Carolina?
The H-1B is the most common visa category for senior AI software engineers in North Carolina, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, AI, or a related field. Some candidates also come through the O-1A route if they have demonstrable recognition in the AI field. Employees transferring within multinational companies may use the L-1A or L-1B.
Which cities in North Carolina have the most senior AI software engineer sponsorship jobs?
Raleigh and Durham dominate, driven by the Research Triangle Park ecosystem and proximity to NC State, Duke, and UNC Chapel Hill. Charlotte is growing quickly, particularly in AI roles tied to fintech and enterprise software companies. Smaller concentrations exist in Cary, Morrisville, and Chapel Hill, largely connected to the same Research Triangle corridor and its associated employer base.
How to find senior ai software engineer visa sponsorship jobs in North Carolina?
Migrate Mate is built specifically for international job seekers and filters senior AI software engineer roles by visa sponsorship availability and location, making it straightforward to browse North Carolina opportunities without sifting through listings that don't offer sponsorship. Beyond the job board, focusing your search on Research Triangle employers with a documented H-1B filing history gives you the clearest signal of sponsorship willingness.
Are there state-specific considerations for senior AI software engineers pursuing sponsorship in North Carolina?
North Carolina employers filing H-1B petitions for senior AI software engineers must meet Department of Labor prevailing wage requirements for the relevant SOC code and geographic area, which in the Research Triangle reflects a competitive tech market. NC State and Duke University both produce strong AI research talent, meaning employers are experienced with the sponsorship process. The concentration of federal contractors in the Research Triangle also means some roles require security clearances, which can affect sponsorship eligibility.
What is the prevailing wage for sponsored senior ai software 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.
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