Engineering Director Visa Sponsorship Jobs in Virginia
Virginia's engineering director market is concentrated in the Northern Virginia technology corridor, with major employers like Booz Allen Hamilton, Leidos, Raytheon Technologies, and Amazon Web Services actively hiring. The defense contracting and cloud infrastructure sectors drive consistent demand, and many of these large organizations have established visa sponsorship programs for senior engineering leadership roles.
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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.
Team Description
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.
About the Team
This team owns the infrastructure layer between applications and foundation models: model access, routing, reliability, security integration, observability, and cost management behind a single governed interface. Product teams build on the platform instead of integrating with model providers directly, which means the enterprise adopts new model capability once, centrally, rather than many times over. Sitting in the request path for every AI-powered application makes latency, reliability, and efficiency company-level outcomes rather than local ones.
This team also owns a measurement and attribution layer that makes consumption legible to the optimization capabilities that act on it, including intelligent routing, caching, context optimization, and capacity planning. The objective is cost per unit of business outcome, not spend reduction in isolation. The architecture set now will determine the enterprise's cost curve and build velocity for years, and this role owns both those decisions and the teams that execute them.
ROLE AND RESPONSIBILITIES
In this role, you will:
- 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
- Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
- Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
- Invent and introduce state-of-the-art LLM 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
- Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI
THE IDEAL CANDIDATE
- You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good
- Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production
- You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example
- You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven
- You are deeply technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss
- You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown
BASIC QUALIFICATIONS
- Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing or leading AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing or leading AI and ML algorithms or technologies
- At least 3 years of people leadership experience
PREFERRED QUALIFICATIONS
- 5 years of experience managing and leading an engineering team
- 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
- Master's degree in Computer Science, Computer Engineering, or relevant technical field
- Passion for staying up to date with the latest AI research and AI systems, and judiciously apply novel techniques in production
- Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
COMPENSATION
-
Remote (Regardless of Location): $244,700 - $279,200 for Director, AI Engineering
-
McLean, VA: $269,100 - $307,200 for Director, AI Engineering
-
New York, NY: $293,600 - $335,100 for Director, AI Engineering
-
San Francisco, CA: $293,600 - $335,100 for Director, AI Engineering
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.
Team Description
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.
About the Team
This team owns the infrastructure layer between applications and foundation models: model access, routing, reliability, security integration, observability, and cost management behind a single governed interface. Product teams build on the platform instead of integrating with model providers directly, which means the enterprise adopts new model capability once, centrally, rather than many times over. Sitting in the request path for every AI-powered application makes latency, reliability, and efficiency company-level outcomes rather than local ones.
This team also owns a measurement and attribution layer that makes consumption legible to the optimization capabilities that act on it, including intelligent routing, caching, context optimization, and capacity planning. The objective is cost per unit of business outcome, not spend reduction in isolation. The architecture set now will determine the enterprise's cost curve and build velocity for years, and this role owns both those decisions and the teams that execute them.
ROLE AND RESPONSIBILITIES
In this role, you will:
- 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
- Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
- Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
- Invent and introduce state-of-the-art LLM 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
- Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI
THE IDEAL CANDIDATE
- You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good
- Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production
- You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example
- You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven
- You are deeply technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss
- You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown
BASIC QUALIFICATIONS
- Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing or leading AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing or leading AI and ML algorithms or technologies
- At least 3 years of people leadership experience
PREFERRED QUALIFICATIONS
- 5 years of experience managing and leading an engineering team
- 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
- Master's degree in Computer Science, Computer Engineering, or relevant technical field
- Passion for staying up to date with the latest AI research and AI systems, and judiciously apply novel techniques in production
- Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
COMPENSATION
-
Remote (Regardless of Location): $244,700 - $279,200 for Director, AI Engineering
-
McLean, VA: $269,100 - $307,200 for Director, AI Engineering
-
New York, NY: $293,600 - $335,100 for Director, AI Engineering
-
San Francisco, CA: $293,600 - $335,100 for Director, AI Engineering
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).
Engineering Director Job Roles in Virginia
See all 223+ Engineering Director Jobs in Virginia
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Search Engineering Director Jobs in VirginiaEngineering Director Jobs in Virginia: Frequently Asked Questions
Which companies sponsor visas for engineering directors in Virginia?
Large defense contractors and technology firms lead sponsorship activity for engineering directors in Virginia. Booz Allen Hamilton, Leidos, General Dynamics, Amazon Web Services, and Capital One have sponsored engineering director roles through the H-1B visa program. Government-adjacent firms based in the Northern Virginia corridor tend to have dedicated immigration support teams and established sponsorship processes for senior engineering leadership positions.
Which visa types are most common for engineering director roles in Virginia?
The H-1B is the most common visa category for engineering directors in Virginia, given the role's specialized technical and managerial requirements. Senior candidates with exceptional industry recognition may pursue the O-1A. Those transferring within a multinational organization may qualify for the L-1A, which applies to managers and executives. Engineering directors at Virginia universities or affiliated research institutions may have access to cap-exempt H-1B filings.
Which cities in Virginia have the most engineering director sponsorship jobs?
Northern Virginia, particularly the Tysons Corner, Reston, Arlington, and Hernandez corridors, concentrates the majority of engineering director sponsorship activity in the state. This region hosts the headquarters or major campuses of defense contractors, cloud providers, and federal IT firms. Richmond has a smaller but growing presence in financial technology and healthcare technology engineering leadership, while Charlottesville sees some activity through University of Virginia-affiliated organizations.
How to find engineering director visa sponsorship jobs in Virginia?
Migrate Mate filters engineering director roles specifically to employers who have demonstrated H-1B sponsorship activity, saving time compared to applying broadly and discovering late in the process that a company does not sponsor. You can narrow results to Virginia and to engineering director-level positions, making it straightforward to identify which Northern Virginia defense contractors, cloud firms, or enterprise technology companies are actively hiring with sponsorship.
Are there any state-specific considerations for engineering directors seeking sponsorship in Virginia?
Virginia's concentration of federal contractors introduces a practical consideration: some engineering director roles require security clearances, which can complicate or limit sponsorship because clearance eligibility is generally restricted to U.S. citizens and certain permanent residents. International candidates should confirm early in the process whether a role is clearance-dependent. For non-clearance roles, Virginia's prevailing wage requirements for H-1B petitions reflect the higher compensation levels typical of the Northern Virginia technology market.
What is the prevailing wage for sponsored engineering director jobs in Virginia?
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.