Lenovo Visa Sponsorship Jobs USA
Lenovo is a global leader in electronics and hardware, with a consistent track record of sponsoring skilled international workers across engineering, technology, and business roles. If you're seeking H-1B visa or OPT sponsorship in the tech hardware industry, Lenovo is a well-established employer worth targeting.
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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.
Job Roles at Lenovo
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Get Access To All JobsTips for Finding Lenovo Visa Sponsorship Jobs USA
Target engineering and technical roles first
Lenovo's sponsorship activity is concentrated in technical disciplines tied to its hardware and electronics core. Focus your applications on software engineering, hardware development, and product management roles where international hiring is most common.
Apply early in the H-1B cap season
Lenovo has a consistent history of H-1B sponsorship, which means they typically plan hires well ahead of the April lottery deadline. Start outreach and applications in January or February to align with their internal hiring timelines.
Highlight hardware and product expertise in your resume
Lenovo prioritizes candidates with domain knowledge in electronics, computing infrastructure, or supply chain. Tailoring your resume to reflect experience in these areas signals a direct fit and strengthens your sponsorship case with hiring managers.
Explore OPT and CPT pathways as an entry point
Lenovo supports F-1 OPT and CPT, making it a strong option for international students looking to build a footprint before pursuing H-1B sponsorship. Internship and co-op programs can lead directly to full-time sponsored positions.
Search for verified Lenovo openings on Migrate Mate
Confirming a company's real sponsorship history before applying saves time. Migrate Mate surfaces verified sponsors so you can filter by actual sponsorship track record and find current Lenovo roles that match your visa type and background.
Understand Lenovo's TN and J-1 options if eligible
Beyond H-1B, Lenovo also sponsors TN visas for eligible Canadian and Mexican professionals and J-1 for exchange programs. If you qualify, these pathways can offer a faster route in, with a potential transition to H-1B later.
Frequently Asked Questions
Does Lenovo sponsor H-1B visas?
Yes, Lenovo sponsors H-1B visas and is considered an active sponsor in the electronics and hardware industry. Sponsorship is most common for technical and engineering roles. Because Lenovo participates in the H-1B cap process each year, candidates should target roles and begin conversations with recruiters well before the annual lottery registration window opens in March.
Which visa types does Lenovo sponsor?
Lenovo sponsors several visa types including H-1B, F-1 OPT, F-1 CPT, TN visa, and J-1 visa. This range makes Lenovo accessible to international students, recent graduates, and experienced professionals. The right visa category depends on your nationality, education level, and the specific role you're applying for.
Which departments or roles at Lenovo are most likely to offer visa sponsorship?
Lenovo's sponsorship activity is most concentrated in technical and product-oriented functions, including software engineering, hardware development, systems architecture, data science, and supply chain. Business and operations roles tied to Lenovo's global infrastructure also see sponsorship. Roles requiring specialized skills in electronics or computing tend to have the clearest sponsorship pathway.
How do I find open visa-sponsored jobs at Lenovo?
Migrate Mate is the most efficient way to find Lenovo roles that come with verified sponsorship history. Rather than guessing which postings will lead to a sponsorship conversation, you can filter directly by employer sponsorship track record and visa type. This saves time and targets applications where international hiring is already established.
How do I approach the application timeline when targeting Lenovo for H-1B sponsorship?
Plan your timeline backwards from the H-1B cap lottery, which typically opens in early March for an October 1 start date. Lenovo needs time to evaluate your candidacy, extend an offer, and prepare the petition before filing. Aim to have an offer in hand by January or February at the latest. For OPT or TN candidates, timelines are more flexible but earlier is always better.