TN Visa AI Jobs
AI roles in machine learning, natural language processing, and data science qualify for TN visa sponsorship under the Computer Systems Analyst or Engineer categories. Canadian citizens can secure TN status at the border same-day. Mexican citizens need consular processing. Employers file no petition with USCIS for Canadian applicants.
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Get Access To All JobsAbout Mistral
At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.
We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.
Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers.
About The Job
Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.
The Applied AI Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products. They will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations.
In this role, you’ll manage daily customer relations involving multiple stakeholders (CEO/CTO, data scientists, and software engineers) and function as a key resource in externalising our research in production settings.
What you will do
-
You’ll be responsible for onboarding customers on our products and APIs, providing guidance on prompting, evaluation, and fine-tuning, and ensuring the best production integration with back-end and front-end interfaces.
-
You’ll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.
-
You’ll individually help deploy into production use cases with a considerable business impact across various industries.
-
You’ll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open source codebases for tasks such as inference and fine-tuning.
-
You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders.
-
Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback.
About you
-
You are fluent in English.
-
You hold a PhD / master in AI / data science.
-
You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products.
-
You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases.
-
You have deep understanding of concepts and algorithms underlying machine learning and LLMs.
-
You're experienced with building and deploying LLMs or NLP applications.
-
You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces.
-
You have strong technical coding skills in Python.
-
You have experience with deep learning with Pytorch.
-
You have experience with agents framework such as Langchain, vector DBs.
-
You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences.
Ideally you have:
-
Contributed to open-source projects in particular in the space of LLMs.
-
Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager.
Benefits
-
Competitive salary and bonus structure
-
Generous Equity
-
Health: Competitive Healthcare program (Medical Provider: Blueshield of California 100% coverage for employee, 75% for dependents)
-
Pension: 401K (6% matching)
-
PTO: 18 days
-
Transportation: Reimburse office parking charges, or $120/month for public transport
-
Coaching: we offer Betterup coaching on a voluntary basis
-
Sport: $120/month reimbursement for gym membership
-
Meal stipend: $400 monthly allowance for meals (solution might evolve as we grow bigger)
-
Visa sponsorship
About Mistral
At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.
We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.
Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers.
About The Job
Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.
The Applied AI Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products. They will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations.
In this role, you’ll manage daily customer relations involving multiple stakeholders (CEO/CTO, data scientists, and software engineers) and function as a key resource in externalising our research in production settings.
What you will do
-
You’ll be responsible for onboarding customers on our products and APIs, providing guidance on prompting, evaluation, and fine-tuning, and ensuring the best production integration with back-end and front-end interfaces.
-
You’ll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.
-
You’ll individually help deploy into production use cases with a considerable business impact across various industries.
-
You’ll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open source codebases for tasks such as inference and fine-tuning.
-
You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders.
-
Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback.
About you
-
You are fluent in English.
-
You hold a PhD / master in AI / data science.
-
You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products.
-
You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases.
-
You have deep understanding of concepts and algorithms underlying machine learning and LLMs.
-
You're experienced with building and deploying LLMs or NLP applications.
-
You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces.
-
You have strong technical coding skills in Python.
-
You have experience with deep learning with Pytorch.
-
You have experience with agents framework such as Langchain, vector DBs.
-
You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences.
Ideally you have:
-
Contributed to open-source projects in particular in the space of LLMs.
-
Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager.
Benefits
-
Competitive salary and bonus structure
-
Generous Equity
-
Health: Competitive Healthcare program (Medical Provider: Blueshield of California 100% coverage for employee, 75% for dependents)
-
Pension: 401K (6% matching)
-
PTO: 18 days
-
Transportation: Reimburse office parking charges, or $120/month for public transport
-
Coaching: we offer Betterup coaching on a voluntary basis
-
Sport: $120/month reimbursement for gym membership
-
Meal stipend: $400 monthly allowance for meals (solution might evolve as we grow bigger)
-
Visa sponsorship
See all 343+ AI jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI roles.
Get Access To All JobsTips for Finding TN Visa Sponsorship as an AI
Match your credentials to TN categories
AI job titles don't map to TN categories automatically. Your offer letter must describe duties that fit Computer Systems Analyst or Engineer criteria. A mismatch between your title and TN category language is the most common border rejection trigger.
Target employers with existing TN hiring pipelines
Focus on employers with recent visa filings who understand work visa sponsorship. They already have HR workflows, legal contacts, and offer letter templates built for visa-sponsored roles. Employers new to sponsorship often delay or rescind offers because they underestimate how quickly the TN process moves for Canadian applicants at the port of entry.
Request a TN-ready offer letter before your start date
Your offer letter must specify your TN category, role duties, educational credentials required, and employment duration. Get this document reviewed before you approach the border or schedule a consular appointment. Vague duty descriptions routinely get flagged by CBP officers.
Use Migrate Mate to find AI roles at visa-sponsoring employers
Search Migrate Mate to identify employers actively hiring AI professionals with recent visa filings. The platform surfaces roles at companies experienced with work visa sponsorship, cutting out the back-and-forth of vetting employers unfamiliar with the visa process.
Prepare credential equivalency documentation early
Mexican nationals with degrees from non-U.S. institutions should obtain a credential evaluation before their consular appointment. Consular officers verify that your degree meets the TN category's educational standard, and missing documentation will delay or deny your visa.
Negotiate a TN renewal commitment before accepting an offer
TN status is granted in three-year increments with no statutory limit on renewals. Confirm your employer will support renewals before you sign. Some companies treat TN as a short-term fix rather than a long-term sponsorship arrangement, which creates instability for your work authorization.
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Find AI JobsAI TN Visa: Frequently Asked Questions
What TN visa categories cover AI jobs?
Most AI roles qualify under Computer Systems Analyst or Engineer categories, depending on your specific duties. A machine learning engineer role typically maps to Engineer; a role focused on AI system design or business intelligence fits Computer Systems Analyst. Your offer letter must describe duties that match the category language CBP officers use to evaluate TN admissions at the border or during consular review.
How does the TN visa compare to H-1B for AI professionals?
TN has no lottery, no annual cap for Canadians, and no USCIS petition required for Canadian applicants. You can receive TN status at a U.S. port of entry the same day. H-1B requires a lottery selection, USCIS approval, and a wait of months. For AI professionals who are Canadian citizens, TN is almost always faster and more predictable than H-1B.
Can I find AI employers who already sponsor TN visas?
Yes. Migrate Mate lets you search specifically for AI roles where TN visa sponsorship is part of the employer's hiring process. This matters because first-time TN sponsors often stall or withdraw offers when they realize they need to structure the offer letter correctly and confirm their HR and legal teams understand TN requirements.
How long does TN visa processing take for Mexican AI professionals?
Mexican nationals must apply at a U.S. consulate, which adds weeks to the timeline compared to Canadian applicants who can process at the border. Appointment availability varies by consulate location and time of year. Once your interview is complete and the visa is issued, you'll receive a TN stamp valid for up to three years, matching your offer letter duration.
Does my AI job title need to exactly match a TN category name?
No. CBP officers and consular officers evaluate job duties, not titles. A role called 'AI Research Scientist' can qualify under Engineer or Computer Systems Analyst if the duties align. What matters is how your offer letter describes your responsibilities, required qualifications, and which TN category your employer is sponsoring you under. Vague or misaligned duty descriptions are the primary cause of TN denials for AI roles.
See which AI employers are hiring and sponsoring visas right now.
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