H-1B1 Chile Visa AI Engineer Jobs
AI Engineer jobs with H-1B1 Chile visa sponsorship are a direct path for Chilean nationals to work in the U.S. without a lottery. The H-1B1 Chile visa issues up to 1,400 visas annually, processes at the consulate, and renews in one-year increments, keeping you active in machine learning, LLM development, or MLOps roles continuously.
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Get Access To All JobsINTRODUCTION
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.
ROLE AND RESPONSIBILITIES
The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.
What You’ll Do:
- Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
- Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
- Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.
- Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.
- Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.
- Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment.
- Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift.
- Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines.
- Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met.
- Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation.
BASIC QUALIFICATIONS
- Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies.
- At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java.
PREFERRED QUALIFICATIONS
- Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy.
- 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud).
- Experience designing, developing, delivering, and supporting AI services.
- Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang.
- Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost.
- Experience in building agentic AI systems and agentic workflows.
- Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production.
- Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale.
- Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules.
- Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms.
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
COMPENSATION
- The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Cambridge, MA: $197,300 - $225,100 for AI Engineer 4
McLean, VA: $197,300 - $225,100 for AI Engineer 4
New York, NY: $215,200 - $245,600 for AI Engineer 4
San Francisco, CA: $215,200 - $245,600 for AI Engineer 4
San Jose, CA: $215,200 - $245,600 for AI Engineer 4
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com.
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
INTRODUCTION
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.
ROLE AND RESPONSIBILITIES
The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.
What You’ll Do:
- Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
- Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
- Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.
- Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.
- Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.
- Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment.
- Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift.
- Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines.
- Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met.
- Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation.
BASIC QUALIFICATIONS
- Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies.
- At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java.
PREFERRED QUALIFICATIONS
- Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy.
- 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud).
- Experience designing, developing, delivering, and supporting AI services.
- Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang.
- Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost.
- Experience in building agentic AI systems and agentic workflows.
- Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production.
- Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale.
- Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules.
- Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms.
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
COMPENSATION
- The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Cambridge, MA: $197,300 - $225,100 for AI Engineer 4
McLean, VA: $197,300 - $225,100 for AI Engineer 4
New York, NY: $215,200 - $245,600 for AI Engineer 4
San Francisco, CA: $215,200 - $245,600 for AI Engineer 4
San Jose, CA: $215,200 - $245,600 for AI Engineer 4
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com.
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
See all 579+ H-1B1 Chile Visa AI Engineer Jobs
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Get Access To All JobsTips for Finding Visa Sponsorship as an AI Engineer
Translate your credentials before applying
Chilean universities issue degrees in Spanish, but U.S. employers filing an H-1B1 visa Labor Condition Application need English-language credential evaluations. Get a NACES-member evaluation that maps your computer science or engineering degree to a U.S. bachelor's equivalent before your first interview.
Verify your role qualifies as specialty occupation
Not every AI Engineer title clears the specialty occupation bar. Check the O*NET profile for your specific duties, model training, neural architecture design, and MLOps pipeline work all map cleanly, but generic 'data support' roles often don't. Confirm the match before negotiating an offer.
Target employers with active H-1B1 LCA history
Companies already filing Labor Condition Applications for Chilean or Singaporean H-1B1 visa workers understand the process and won't require education on the visa category. Use Migrate Mate to filter AI Engineer roles by employers with verified H-1B1 visa DOL filing history, cutting out gatekeeping conversations entirely.
Ask about LCA filing timing before accepting
Your employer must file and receive a certified LCA from DOL before you can apply at the consulate. That certification typically takes seven business days, but ask HR whether they've done it before, first-time filers sometimes underestimate the prevailing wage lookup step in OFLC Wage Search.
Flag E-Verify enrollment when evaluating offers
STEM-heavy employers often assume all skilled visa hires are H-1B visa, and some haven't enrolled in E-Verify for H-1B1 visa situations. Confirm enrollment before signing, E-Verify participation is required for your I-9 verification once you're working, and gaps delay your start date.
Plan your consular appointment around renewal cycles
H-1B1 Chile visas are issued in one-year increments and don't allow USCIS-based extensions, you renew at a U.S. consulate in Chile each cycle. Build your offer negotiation around this timeline and confirm your employer will reissue the LCA annually so your visa stamps align with your employment periods.
Frequently Asked Questions
Does an AI Engineer role qualify for the H-1B1 Chile visa?
Yes, AI Engineer roles qualify as specialty occupations under the H-1B1 Chile visa when they require at least a bachelor's degree in computer science, electrical engineering, mathematics, or a directly related field. Roles centered on model development, algorithm design, or ML infrastructure meet the standard. Generic titles that only require a degree in any field typically don't clear the bar, so your job duties matter as much as your title.
How does the H-1B1 Chile visa compare to the H-1B for AI Engineer positions?
The H-1B1 Chile visa has no lottery, an annual cap of 1,400 that has never been exhausted, and processes entirely through consular appointment rather than USCIS petition. For AI Engineers, that means a predictable timeline instead of a one-in-four chance at selection. The trade-off is annual renewal at the consulate rather than multi-year USCIS approval, and the visa doesn't carry dual-intent protection the way the H-1B does.
How do I find AI Engineer employers who already sponsor H-1B1 Chile visas?
Migrate Mate filters AI Engineer job listings by employers with verified H-1B1 DOL Labor Condition Application filing history, so you're only seeing companies that have done this before. That history signals familiarity with the LCA certification process and removes the friction of explaining the H-1B1 Chile program to an HR team encountering it for the first time.
What documents do I need for the H-1B1 Chile consular interview as an AI Engineer?
You'll need your certified LCA from DOL, a valid DS-160 confirmation, your employer's support letter detailing your AI Engineer duties and the specialty occupation basis, and credential documentation showing your Chilean degree maps to a U.S. bachelor's in a relevant technical field. If your degree is in Spanish, bring a certified English translation from a NACES-member evaluator. Consular officers can and do ask how your specific role meets the specialty occupation definition.
Can I switch AI Engineer employers after entering the U.S. on H-1B1 Chile status?
Yes, but the process restarts with your new employer. The new company must file a fresh LCA with DOL and receive certification before you begin working. Unlike the H-1B, there's no portability provision allowing you to start immediately upon filing. Coordinate your resignation and new start date carefully, and confirm the new employer has completed LCA certification before your last day with the previous company.