TN Visa Genai Engineer Jobs
GenAI Engineer roles qualify for TN visa sponsorship under the USMCA's Computer Systems Analyst and Engineer categories, giving Canadian citizens a cap-free path to U.S. employment. Mexican citizens face a 5,500-annual-cap allocation. Employers file your TN paperwork before your start date, making employer readiness a key screening factor.
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Get Access To All JobsJob Req Id:
26952188
Location(s):
Irving, Texas, United States
Job Type:
Hybrid
Posted:
Apr. 20, 2026
Discover your future at Citi
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.
Job Overview
About Citi:
Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.
As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.
Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We’ll enable growth and progress together.
The Role:
The Senior GenAI Engineer - Solutions Architecture is a strategic, senior-level role focused on designing and deploying advanced AI solutions within a highly regulated enterprise environment. This position serves as a recognized technical authority, responsible for shaping the architectural vision and directional strategy for Generative AI systems. The role involves translating complex business challenges into scalable, secure, and compliant AI-powered systems, ensuring they align with enterprise blueprints and contribute to the firm's competitive edge in the market.
Responsibilities
- Design, build, and deploy highly optimized Retrieval-Augmented Generation (RAG) and Context Engineering pipelines.
- Develop and implement sophisticated workflow agents and enterprise-integrated autonomous agents capable of recursive reasoning and autonomous task delegation.
- Execute the architectural vision for IT systems through major, complex architecture projects, ensuring conformance to enterprise standards.
- Develop and maintain technology roadmaps, staying current with emerging technologies and recommending strategic business directions.
- Provide technical leadership across teams and act as an advisor or mentor to junior team members.
- Translate complex business problems into sound, scalable technical solutions.
- Seamlessly integrate with existing APIs, tool sets, and data stores to create and utilize vector stores, knowledge graphs, and LLM knowledge bases.
- Establish robust governance frameworks, including logging, explainability, and custom evaluation pipelines using paired benchmarks to ensure AI quality and reliability.
- Ensure all AI deployments eliminate reasoning drift, prevent data leakage, and support critical regulatory delivery dates.
- Provide integrated systems planning and recommend innovative technologies to enhance current systems.
- Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
Qualifications
- 5+ years' experience in software engineering, with a minimum of 3+ years dedicated to scalable machine learning, LLMOps, or Generative AI systems in a highly regulated enterprise environment.
- Expert-level proficiency in Python and a strong command of a compiled, object-oriented language (e.g., Java, C++).
- Deep practical knowledge of LLM orchestration, embedding models, vector database architecture, and advanced evaluation techniques for hallucination reduction.
- Proven track record of modernizing legacy architecture and deploying distributed, containerized machine learning pipelines (e.g., Docker, Kubernetes) at scale.
- Strong understanding of enterprise security postures, including prompt injection defense, dynamic data masking, and compliance-driven software development lifecycles.
- Developed communication and diplomacy skills to guide, influence, and persuade colleagues and stakeholders.
- Sophisticated analytical thought to resolve issues in a variety of complex situations.
- Demonstrated ability to manage multiple activities, prioritize effectively, and meet tight deadlines.
- A self-starter with the initiative to master new tasks and technologies quickly, exhibiting a methodical approach and strong attention to detail.
Education
- Bachelor's/University degree or equivalent experience.
- Master's degree is considered a plus.
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Job Family Group:
Technology
Job Family:
Architecture
Time Type:
Full time
Primary Location:
Irving Texas United States
Primary Location Full Time Salary Range:
$125,760.00 - $188,640.00
In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
Apr 24, 2026
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
Job Req Id:
26952188
Location(s):
Irving, Texas, United States
Job Type:
Hybrid
Posted:
Apr. 20, 2026
Discover your future at Citi
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.
Job Overview
About Citi:
Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.
As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.
Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We’ll enable growth and progress together.
The Role:
The Senior GenAI Engineer - Solutions Architecture is a strategic, senior-level role focused on designing and deploying advanced AI solutions within a highly regulated enterprise environment. This position serves as a recognized technical authority, responsible for shaping the architectural vision and directional strategy for Generative AI systems. The role involves translating complex business challenges into scalable, secure, and compliant AI-powered systems, ensuring they align with enterprise blueprints and contribute to the firm's competitive edge in the market.
Responsibilities
- Design, build, and deploy highly optimized Retrieval-Augmented Generation (RAG) and Context Engineering pipelines.
- Develop and implement sophisticated workflow agents and enterprise-integrated autonomous agents capable of recursive reasoning and autonomous task delegation.
- Execute the architectural vision for IT systems through major, complex architecture projects, ensuring conformance to enterprise standards.
- Develop and maintain technology roadmaps, staying current with emerging technologies and recommending strategic business directions.
- Provide technical leadership across teams and act as an advisor or mentor to junior team members.
- Translate complex business problems into sound, scalable technical solutions.
- Seamlessly integrate with existing APIs, tool sets, and data stores to create and utilize vector stores, knowledge graphs, and LLM knowledge bases.
- Establish robust governance frameworks, including logging, explainability, and custom evaluation pipelines using paired benchmarks to ensure AI quality and reliability.
- Ensure all AI deployments eliminate reasoning drift, prevent data leakage, and support critical regulatory delivery dates.
- Provide integrated systems planning and recommend innovative technologies to enhance current systems.
- Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
Qualifications
- 5+ years' experience in software engineering, with a minimum of 3+ years dedicated to scalable machine learning, LLMOps, or Generative AI systems in a highly regulated enterprise environment.
- Expert-level proficiency in Python and a strong command of a compiled, object-oriented language (e.g., Java, C++).
- Deep practical knowledge of LLM orchestration, embedding models, vector database architecture, and advanced evaluation techniques for hallucination reduction.
- Proven track record of modernizing legacy architecture and deploying distributed, containerized machine learning pipelines (e.g., Docker, Kubernetes) at scale.
- Strong understanding of enterprise security postures, including prompt injection defense, dynamic data masking, and compliance-driven software development lifecycles.
- Developed communication and diplomacy skills to guide, influence, and persuade colleagues and stakeholders.
- Sophisticated analytical thought to resolve issues in a variety of complex situations.
- Demonstrated ability to manage multiple activities, prioritize effectively, and meet tight deadlines.
- A self-starter with the initiative to master new tasks and technologies quickly, exhibiting a methodical approach and strong attention to detail.
Education
- Bachelor's/University degree or equivalent experience.
- Master's degree is considered a plus.
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Job Family Group:
Technology
Job Family:
Architecture
Time Type:
Full time
Primary Location:
Irving Texas United States
Primary Location Full Time Salary Range:
$125,760.00 - $188,640.00
In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
Apr 24, 2026
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
See all 124+ Genai Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Genai Engineer roles.
Get Access To All JobsTips for Finding TN Visa Sponsorship as a Genai Engineer
Frame your credentials around specialty occupation
GenAI Engineering sits at the intersection of computer science and applied machine learning. Your degree must map to that field. A general IT diploma rarely suffices. A computer science or software engineering degree with coursework in neural networks or statistical modeling strengthens your TN case significantly.
Target AI-native companies in federal contractor space
Federal contractors building generative AI tools for government agencies routinely sponsor TN visas because project timelines can't wait for H-1B lotteries. Employers in defense tech, health AI, and government analytics sectors have demonstrated experience with visa sponsorship through recent filings, making them likely candidates to support TN applications for qualified candidates.
Search for TN-sponsored GenAI roles on Migrate Mate
Filtering for TN visa sponsorship by job title helps you focus on roles where employers understand the visa process. Migrate Mate surfaces GenAI Engineer positions at employers with recent visa filings, so you're targeting openings where sponsorship experience is already established.
Prepare a TN support letter that maps your role to LLM workflows
USCIS and CBP officers assess whether your specific duties require a specialized degree. Your employer's support letter should name concrete tasks, prompt engineering, fine-tuning pipelines, RAG architecture, linking each to your degree field. Generic letters drawing on broad AI language frequently face additional scrutiny.
Understand the Mexican TN cap before accepting an offer
Mexican nationals have a 5,500-annual TN allocation under USMCA. If the cap fills mid-year, approvals can pause. Confirm your employer's attorney is monitoring consulate processing times and has a contingency if your start date falls near periods of high application volume.
Genai Engineer jobs are hiring across the US. Find yours.
Find Genai Engineer JobsGenai Engineer TN Visa: Frequently Asked Questions
Does a GenAI Engineer role qualify for TN visa sponsorship?
Yes, GenAI Engineer positions typically qualify under the Computer Systems Analyst or Engineer categories defined in USMCA Appendix 1603.D.1. The critical requirement is that your specific duties, designing, training, or deploying generative AI systems, require a bachelor's degree or higher in computer science, engineering, or a closely related field. Job titles alone don't determine eligibility; the actual work and your credential match do.
How does TN visa sponsorship compare to H-1B for GenAI Engineers?
TN visa sponsorship has no lottery and no annual cap for Canadian citizens, making it far more predictable than H-1B for most GenAI roles. H-1B selection runs roughly 25 percent odds in recent years, while a qualified Canadian applicant can get TN status at a port of entry the same day. Mexican nationals face a 5,500-annual TN cap, but that cap has historically not been exhausted, making TN still more reliable than H-1B for most professionals.
What credentials do I need as a Canadian or Mexican GenAI Engineer to qualify?
You need a bachelor's degree or higher in computer science, software engineering, electrical engineering, mathematics, or a closely related field. A degree in a general discipline like business information systems is less likely to pass CBP review for a GenAI-specific role. If your undergraduate degree is adjacent, a graduate degree in machine learning or AI can close the gap and strengthen your petition.
How do I find GenAI Engineer jobs where the employer already understands TN sponsorship?
Migrate Mate lets you filter GenAI Engineer roles specifically by TN visa sponsorship, so you're only seeing employers who have indicated willingness to file. This matters because many employers who post openly to H-1B holders haven't thought through TN documentation and may stall your offer once HR gets involved. Starting with a pre-filtered list avoids that friction.
Can I switch GenAI Engineer employers on a TN visa without losing status?
Yes, but your TN status is tied to your current employer, not your occupation generally. Before starting with a new employer, they must file a new TN petition or you must apply at a port of entry with the new offer documentation. Working for the new employer before that approval, even briefly, constitutes unauthorized employment. Plan your transition so your final day and new start date align with the new filing.
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