ML Software Engineer Visa Sponsorship Jobs in Virginia
Virginia is one of the strongest states for ML software engineer visa sponsorship, anchored by a dense corridor of tech employers in Northern Virginia, including Amazon Web Services, Booz Allen Hamilton, Leidos, and Capital One. The state's proximity to federal agencies and defense contractors creates consistent demand for ML engineers with security-eligible backgrounds.
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Get Access To All JobsINTRODUCTION
Dominion Energy is committed to providing reliable, affordable, and increasingly clean energy that powers our customers every day. If you want to work for a purpose-driven company that values safety and collaboration, we’re looking for you. You won’t just find a job here; you’ll find your career. Review the position below and apply today.
We offer a hybrid work schedule (one week in the office, one week of teleworking) to accommodate the need for flexibility.
Military service members and veterans with ranks from E5-E9, W1-CW5, or O3-O6, plus appropriate equivalent combination of education and years of experience as outlined below will be considered for this opportunity.
This position does not offer relocation assistance.
JOB SUMMARY
Candidate will be involved in AI related research and development activities. This includes working closely with IT architects, ITBA Product teams, IT Infrastructure Operations, and Cyber Intelligence and Security teams to evaluate new tools and technologies, develop proof of value (POV) solutions, and implement AI solutions within the company’s private cloud environment. Works with multiple business units, in multi-platform environments, on multi-project assignments. Designs, codes, tests, debugs, and documents programs to meet business requirements. Works at the highest technical level of all phases of applications systems analysis and software development. Guides and advises less experienced Software engineers.
Responsibilities:
- Evaluate Generative AI solutions from a functional, technical, and risk standpoint
- Development and implementation of Gen AI solutions to solve complex business problems and enhance operational efficiency
- Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows
- Collaborate with architects to design, code, test, and deploy modular and scalable AI architectures
- Ensure the security, performance, and reliability of AI solutions by following coding best practices and performing thorough testing and validation
- Stay current with industry advancements and continuously seek opportunities to improve AI capabilities within the organization
- Responsible for building effective working relationships, making sound decisions, successfully making changes, initiating action and achieving results as a trusted advisor
REQUIRED KNOWLEDGE, SKILLS, ABILITIES & EXPERIENCE
The knowledge, skills, abilities and experiences that are required for entry into this job include the following:
- 5+ Years of experience in software development and systems analysis
- 2+ years of experience in GenAI or AI/ML application development
- 1+ years of experience in DevOps deploying Cloud hosted solutions
- Advanced proficiency in .NET, React, Angular, Python, and SQL development
- Advanced proficiency in working with SQL Server and Oracle databases and experience working with NoSQL databases
- Proficiency in developing applications using Microsoft Power Platform
- Experience in developing Generative AI applications including RAG architecture, and model fine-tuning; experience with Agentic AI is a plus
- Strong analytical and problem-solving skills, with the ability to work with large and complex datasets
- Good understanding of Artificial Intelligence and Machine Learning & experience deploying AI solutions
- Experience in deploying AI solutions in cloud environments such as AWS, Azure, or GCP
- Good understanding of IT security best practices by applying depth and breadth of expertise in multiple related disciplines
- Good self-starter who has ability to operate independently and demonstrates complete ownership over assigned objectives
- Excellent communication and collaboration skills, with the ability to effectively convey technical concepts to non-technical stakeholders
- Strong organizational skills, ability to effectively manage multiple, competing projects/priorities while achieving targeted completion results
- Ability to maintain technical proficiency via self or formal training
- Proficient in MS Office Suite (Word, Excel, PowerPoint, OneNote, Project, Visio) and SharePoint
EDUCATION REQUIREMENTS
Education Level:
Degree or an equivalent combination of education and demonstrated related experience may be accepted in lieu of preferred level of education:
Bachelor
Preferred Discipline(s): Business Administration, Computer Science, Computer Engineering
Other disciplines may be substituted for the preferred discipline(s) listed above.
LICENSES, CERTIFICATIONS, OR QUALS DESCRIPTION
WORKING CONDITIONS
Office Work Environment 76-100%
Travel Up to 25%
OTHER WORKING CONDITIONS
TEST DESCRIPTION
No Testing Required
EXPORT CONTROL
Certain positions at Dominion Energy may involve access to information and technology subject to export controls under U.S. law. Compliance with these export controls may result in Dominion Energy limiting its consideration of certain applicants.
OTHER INFORMATION
We offer excellent plans and programs for employees. Employees are rewarded with a competitive salary and comprehensive benefits package which may include: health benefits with coverage for families and domestic partners, vacation, retirement plans, paid holidays, tuition reimbursement, and much more. To learn more about our benefits, click here dombenefits.com.
Dominion Energy is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin and/or status as a protected veteran or individual with a disability.
You can experience the excitement of our company – it's the difference between taking a job and starting a career.
INTRODUCTION
Dominion Energy is committed to providing reliable, affordable, and increasingly clean energy that powers our customers every day. If you want to work for a purpose-driven company that values safety and collaboration, we’re looking for you. You won’t just find a job here; you’ll find your career. Review the position below and apply today.
We offer a hybrid work schedule (one week in the office, one week of teleworking) to accommodate the need for flexibility.
Military service members and veterans with ranks from E5-E9, W1-CW5, or O3-O6, plus appropriate equivalent combination of education and years of experience as outlined below will be considered for this opportunity.
This position does not offer relocation assistance.
JOB SUMMARY
Candidate will be involved in AI related research and development activities. This includes working closely with IT architects, ITBA Product teams, IT Infrastructure Operations, and Cyber Intelligence and Security teams to evaluate new tools and technologies, develop proof of value (POV) solutions, and implement AI solutions within the company’s private cloud environment. Works with multiple business units, in multi-platform environments, on multi-project assignments. Designs, codes, tests, debugs, and documents programs to meet business requirements. Works at the highest technical level of all phases of applications systems analysis and software development. Guides and advises less experienced Software engineers.
Responsibilities:
- Evaluate Generative AI solutions from a functional, technical, and risk standpoint
- Development and implementation of Gen AI solutions to solve complex business problems and enhance operational efficiency
- Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows
- Collaborate with architects to design, code, test, and deploy modular and scalable AI architectures
- Ensure the security, performance, and reliability of AI solutions by following coding best practices and performing thorough testing and validation
- Stay current with industry advancements and continuously seek opportunities to improve AI capabilities within the organization
- Responsible for building effective working relationships, making sound decisions, successfully making changes, initiating action and achieving results as a trusted advisor
REQUIRED KNOWLEDGE, SKILLS, ABILITIES & EXPERIENCE
The knowledge, skills, abilities and experiences that are required for entry into this job include the following:
- 5+ Years of experience in software development and systems analysis
- 2+ years of experience in GenAI or AI/ML application development
- 1+ years of experience in DevOps deploying Cloud hosted solutions
- Advanced proficiency in .NET, React, Angular, Python, and SQL development
- Advanced proficiency in working with SQL Server and Oracle databases and experience working with NoSQL databases
- Proficiency in developing applications using Microsoft Power Platform
- Experience in developing Generative AI applications including RAG architecture, and model fine-tuning; experience with Agentic AI is a plus
- Strong analytical and problem-solving skills, with the ability to work with large and complex datasets
- Good understanding of Artificial Intelligence and Machine Learning & experience deploying AI solutions
- Experience in deploying AI solutions in cloud environments such as AWS, Azure, or GCP
- Good understanding of IT security best practices by applying depth and breadth of expertise in multiple related disciplines
- Good self-starter who has ability to operate independently and demonstrates complete ownership over assigned objectives
- Excellent communication and collaboration skills, with the ability to effectively convey technical concepts to non-technical stakeholders
- Strong organizational skills, ability to effectively manage multiple, competing projects/priorities while achieving targeted completion results
- Ability to maintain technical proficiency via self or formal training
- Proficient in MS Office Suite (Word, Excel, PowerPoint, OneNote, Project, Visio) and SharePoint
EDUCATION REQUIREMENTS
Education Level:
Degree or an equivalent combination of education and demonstrated related experience may be accepted in lieu of preferred level of education:
Bachelor
Preferred Discipline(s): Business Administration, Computer Science, Computer Engineering
Other disciplines may be substituted for the preferred discipline(s) listed above.
LICENSES, CERTIFICATIONS, OR QUALS DESCRIPTION
WORKING CONDITIONS
Office Work Environment 76-100%
Travel Up to 25%
OTHER WORKING CONDITIONS
TEST DESCRIPTION
No Testing Required
EXPORT CONTROL
Certain positions at Dominion Energy may involve access to information and technology subject to export controls under U.S. law. Compliance with these export controls may result in Dominion Energy limiting its consideration of certain applicants.
OTHER INFORMATION
We offer excellent plans and programs for employees. Employees are rewarded with a competitive salary and comprehensive benefits package which may include: health benefits with coverage for families and domestic partners, vacation, retirement plans, paid holidays, tuition reimbursement, and much more. To learn more about our benefits, click here dombenefits.com.
Dominion Energy is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin and/or status as a protected veteran or individual with a disability.
You can experience the excitement of our company – it's the difference between taking a job and starting a career.
ML Software Engineer Job Roles in Virginia
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Search ML Software Engineer Jobs in VirginiaML Software Engineer Jobs in Virginia: Frequently Asked Questions
Which companies sponsor visas for ML software engineers in Virginia?
Northern Virginia hosts some of the most active ML engineering sponsors in the country. Amazon Web Services (with its HQ2 presence in Arlington), Capital One, Booz Allen Hamilton, Leidos, and Accenture Federal Services regularly sponsor H-1B visas for ML roles. Smaller AI-focused firms and government contractors in the Reston and Tysons corridor also sponsor consistently, particularly for applied ML and NLP engineering positions.
Which visa types are most common for ML software engineer roles in Virginia?
The H-1B is by far the most common visa category for ML software engineers in Virginia, as ML engineering qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, mathematics, or a related field. Some candidates at large multinational firms pursue L-1B visas for intracompany transfers. Graduates on OPT or STEM OPT frequently work in Virginia ML roles before transitioning to H-1B sponsorship.
How to find ml software engineer visa sponsorship jobs in Virginia?
Migrate Mate is built specifically for international candidates seeking visa sponsorship and lets you filter ML software engineer roles by state, so you can focus exclusively on Virginia employers actively sponsoring. Because many Virginia ML roles are tied to defense or federal contracting, filtering by employer type on Migrate Mate can help you identify which companies are actively filing sponsorship petitions for this role.
Which cities in Virginia have the most ML software engineer sponsorship jobs?
Northern Virginia, particularly Arlington, McLean, Reston, and Tysons, concentrates the vast majority of ML engineering sponsorship activity in the state. This corridor sits adjacent to Washington D.C. and hosts dense clusters of tech firms, federal contractors, and consultancies. Richmond has a growing presence, driven by Capital One's headquarters and a small but expanding fintech and data engineering sector, though it trails Northern Virginia significantly in volume.
Are there any Virginia-specific considerations for ML software engineer visa sponsorship?
A notable share of ML engineering roles in Virginia involve work with federal agencies or defense programs, which can require security clearances. Non-U.S. citizens are generally ineligible for most security clearances, so some positions in this corridor are effectively closed to sponsored candidates regardless of visa status. Focusing your search on commercial tech employers, financial services firms, and non-classified consulting practices improves your realistic pool of sponsoring opportunities.
What is the prevailing wage for sponsored ml software engineer 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.