Technical Solutions Architect Visa Sponsorship Jobs in North Carolina
Technical solutions architect visa sponsorship jobs in North Carolina are concentrated in the Research Triangle, where companies like Cisco, Red Hat, and IBM have established engineering and enterprise technology operations. Charlotte's growing financial technology sector and the presence of major healthcare IT firms across the state add further opportunities for internationally trained architects seeking sponsored roles.
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Get Access To All JobsGENERAL INFORMATION
Req #
WD00105132
Career area:
Artificial Intelligence
Country/Region:
United States of America
State:
North Carolina
City:
Morrisville
Date:
Friday, September 11, 2026
Working time:
Full-time
ADDITIONAL LOCATIONS:
United States of America - California - San Jose
United States of America - North Carolina - Morrisville
WHY WORK AT LENOVO
We are Lenovo. We do what we say. We own what we do. We WOW our customers.
Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.
DESCRIPTION AND REQUIREMENTS
SUMMARY:
Lenovo is seeking a highly experienced and visionary Sr. AI Architect to lead the design and implementation of our next-generation AI systems. This is a pivotal role responsible for the overall technical direction, architecture, and scalability of our AI platform. The ideal candidate is a deep generalist with a comprehensive understanding of the entire AI stack – from foundational models to application-level agents – and the ability to articulate complex technical concepts to both technical and non-technical audiences. You will be one of the go-to experts for all things AI, guiding engineering teams and driving innovation in a rapidly evolving field. If you are passionate about making Smarter Technology For All, come help us realize our Hybrid AI vision!
Responsibilities:
- System Architecture: Design and maintain the overall architecture of our AI systems, ensuring scalability, reliability, and performance.
- Model Expertise: Possess in-depth knowledge of a wide range of AI models, including Large Language Models (LLMs), multimodal models (vision, speech, text), and their underlying principles.
- Training & Fine-tuning: Architect and oversee the training and fine-tuning of AI models, including techniques like Supervised Fine-Tuning (SFT), LoRA (Low-Rank Adaptation), and prompt tuning.
- Agent Design: Lead the design and implementation of intelligent agents, encompassing components like intent understanding, task decomposition and planning, and tool calling (e.g., using MCP – Model Context Protocol).
- Knowledge Management: Design and implement robust knowledge management systems, including vector databases, reranking models and algorithms, and knowledge graphs.
- Output Optimization: Select output sampling strategies to ensure high-quality, relevant, and coherent responses.
- Technical Leadership: Provide technical leadership and mentorship to engineering teams, guiding them through the implementation of complex AI solutions.
- Research & Innovation: Stay abreast of the latest advancements in AI research and identify opportunities to apply them to our products and services.
- Cross-Functional Collaboration: Work closely with product management, data science, and engineering teams to define requirements and deliver innovative AI solutions.
- System Documentation: Create and maintain comprehensive documentation of the AI system architecture and components.
REQUIRED QUALIFICATIONS:
- Advanced degree (Ph.D. preferred) in Computer Science, Artificial Intelligence, or a related field.
- 12+ years of experience designing and implementing AI systems.
- Understanding of Machine Learning and Deep Learning principles.
- Extensive experience with Large Language Models (LLMs) and Transformer architectures.
- Hands-on experience with multimodal models.
- Proficiency in programming languages such as Python.
- Experience with Machine Learning frameworks such as PyTorch.
- Strong understanding of vector databases and embedding models.
- Experience with knowledge graphs and knowledge base management.
- Familiarity with prompt engineering techniques and prompt optimization.
PREFERRED QUALIFICATIONS:
- Experience with MLOps practices and deploying AI models to production.
- Contributions to open-source AI projects.
- Publications in leading AI conferences or journals.
- Familiarity with Atlassian tools (Jira, Confluence).
- Excellent communication, interpersonal, and presentation skills, including clear descriptions and document generation, such as class diagrams, sequence diagrams, and protocol definitions.
LATC
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.
ADDITIONAL LOCATIONS:
United States of America - California - San Jose
United States of America - North Carolina - Morrisville
United States of America
United States of America - California
United States of America - North Carolina
United States of America - California - San Jose
* United States of America - North Carolina - Morrisville
PAY TRANSPARENCY
The anticipated annual compensation range for this position is 184,700–283,245 USD. Final compensation will be based on relevant experience, skills, and business considerations. Individuals may also be considered for bonuses and/or commissions. Lenovo’s various benefits can be found at www.lenovobenefits.com.
GENERAL INFORMATION
Req #
WD00105132
Career area:
Artificial Intelligence
Country/Region:
United States of America
State:
North Carolina
City:
Morrisville
Date:
Friday, September 11, 2026
Working time:
Full-time
ADDITIONAL LOCATIONS:
United States of America - California - San Jose
United States of America - North Carolina - Morrisville
WHY WORK AT LENOVO
We are Lenovo. We do what we say. We own what we do. We WOW our customers.
Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.
DESCRIPTION AND REQUIREMENTS
SUMMARY:
Lenovo is seeking a highly experienced and visionary Sr. AI Architect to lead the design and implementation of our next-generation AI systems. This is a pivotal role responsible for the overall technical direction, architecture, and scalability of our AI platform. The ideal candidate is a deep generalist with a comprehensive understanding of the entire AI stack – from foundational models to application-level agents – and the ability to articulate complex technical concepts to both technical and non-technical audiences. You will be one of the go-to experts for all things AI, guiding engineering teams and driving innovation in a rapidly evolving field. If you are passionate about making Smarter Technology For All, come help us realize our Hybrid AI vision!
Responsibilities:
- System Architecture: Design and maintain the overall architecture of our AI systems, ensuring scalability, reliability, and performance.
- Model Expertise: Possess in-depth knowledge of a wide range of AI models, including Large Language Models (LLMs), multimodal models (vision, speech, text), and their underlying principles.
- Training & Fine-tuning: Architect and oversee the training and fine-tuning of AI models, including techniques like Supervised Fine-Tuning (SFT), LoRA (Low-Rank Adaptation), and prompt tuning.
- Agent Design: Lead the design and implementation of intelligent agents, encompassing components like intent understanding, task decomposition and planning, and tool calling (e.g., using MCP – Model Context Protocol).
- Knowledge Management: Design and implement robust knowledge management systems, including vector databases, reranking models and algorithms, and knowledge graphs.
- Output Optimization: Select output sampling strategies to ensure high-quality, relevant, and coherent responses.
- Technical Leadership: Provide technical leadership and mentorship to engineering teams, guiding them through the implementation of complex AI solutions.
- Research & Innovation: Stay abreast of the latest advancements in AI research and identify opportunities to apply them to our products and services.
- Cross-Functional Collaboration: Work closely with product management, data science, and engineering teams to define requirements and deliver innovative AI solutions.
- System Documentation: Create and maintain comprehensive documentation of the AI system architecture and components.
REQUIRED QUALIFICATIONS:
- Advanced degree (Ph.D. preferred) in Computer Science, Artificial Intelligence, or a related field.
- 12+ years of experience designing and implementing AI systems.
- Understanding of Machine Learning and Deep Learning principles.
- Extensive experience with Large Language Models (LLMs) and Transformer architectures.
- Hands-on experience with multimodal models.
- Proficiency in programming languages such as Python.
- Experience with Machine Learning frameworks such as PyTorch.
- Strong understanding of vector databases and embedding models.
- Experience with knowledge graphs and knowledge base management.
- Familiarity with prompt engineering techniques and prompt optimization.
PREFERRED QUALIFICATIONS:
- Experience with MLOps practices and deploying AI models to production.
- Contributions to open-source AI projects.
- Publications in leading AI conferences or journals.
- Familiarity with Atlassian tools (Jira, Confluence).
- Excellent communication, interpersonal, and presentation skills, including clear descriptions and document generation, such as class diagrams, sequence diagrams, and protocol definitions.
LATC
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.
ADDITIONAL LOCATIONS:
United States of America - California - San Jose
United States of America - North Carolina - Morrisville
United States of America
United States of America - California
United States of America - North Carolina
United States of America - California - San Jose
* United States of America - North Carolina - Morrisville
PAY TRANSPARENCY
The anticipated annual compensation range for this position is 184,700–283,245 USD. Final compensation will be based on relevant experience, skills, and business considerations. Individuals may also be considered for bonuses and/or commissions. Lenovo’s various benefits can be found at www.lenovobenefits.com.
Technical Solutions Architect Job Roles in North Carolina
See all 121+ Technical Solutions Architect Jobs in North Carolina
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Search Technical Solutions Architect Jobs in North CarolinaTechnical Solutions Architect Jobs in North Carolina: Frequently Asked Questions
Which companies sponsor visas for technical solutions architects in North Carolina?
Cisco, Red Hat, IBM, and Lenovo have significant presences in the Raleigh-Durham area and have historically sponsored technical roles including solutions architects. In Charlotte, large financial institutions and their technology arms, along with healthcare IT companies like Optum and Labcorp, appear regularly in Department of Labor sponsorship filings for technical and enterprise architecture positions.
Which visa types are most common for technical solutions architect roles in North Carolina?
The H-1B visa is the most common visa for technical solutions architect roles in North Carolina, as the position typically requires a bachelor's degree or higher in computer science, engineering, or a related technical field, meeting the specialty occupation standard. Candidates with prior approved petitions may also see L-1B transfers used by multinationals with North Carolina offices. Australians may qualify for the E-3 visa as an alternative.
Which cities in North Carolina have the most technical solutions architect sponsorship jobs?
Raleigh and Durham within the Research Triangle account for the largest share of technical solutions architect sponsorship activity in North Carolina, driven by a dense concentration of technology and enterprise software companies. Charlotte is the second most active market, particularly in financial services technology. Smaller but growing clusters exist in Chapel Hill and Cary, often tied to university-affiliated research and mid-market software firms.
How to find technical solutions architect visa sponsorship jobs in North Carolina?
Migrate Mate filters job listings specifically for roles that offer visa sponsorship, making it straightforward to search for technical solutions architect positions in North Carolina without sifting through listings from employers who do not sponsor. You can filter by state and role type to see active openings from companies in the Research Triangle, Charlotte, and other North Carolina markets that have a track record of sponsoring technical roles.
Are there any state-specific considerations for technical solutions architects seeking sponsorship in North Carolina?
North Carolina's Research Triangle benefits from a strong university pipeline through NC State, UNC Chapel Hill, and Duke, which means employers in the region are familiar with hiring internationally educated candidates and navigating sponsorship processes. The state's relatively lower cost of living compared to coastal tech hubs means prevailing wage requirements can make sponsorship more financially accessible for employers, though each employer's willingness to sponsor still varies considerably.
What is the prevailing wage for sponsored technical solutions architect 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.