H-1B Sponsorship Jobs in Virginia
Virginia is one of the strongest H-1B visa markets on the East Coast, driven by a dense concentration of federal contractors, technology firms, and defense employers in the Northern Virginia corridor, plus growing healthcare and financial services sectors in Richmond and the broader D.C. metro region.
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Get Access To All JobsAt Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose.
Position Overview
As a Software Engineer, Professional (GenAI), your role is pivotal in shaping the future of AI-driven business solutions. You will design and develop scalable applications that integrate sophisticated AI models, directly influencing how businesses operate and succeed.
In this role, you will contribute to building next-generation GenAI solutions and automation capabilities, with a focus on embedding risk awareness, controls, and governance into AI-driven systems. Your expertise in Python-based microservices will support the development of robust, quality-controlled frameworks for GenAI solutions, including those supporting governance and approval processes.
By collaborating with GenAI scientists, UX designers, and cross-functional teams, you will help deliver enterprise-grade AI solutions that meet high standards of performance, reliability, and responsible AI practices.
Our Impact
Joining us offers the opportunity to work on cutting-edge GenAI and automation initiatives, gaining hands-on experience in building enterprise-scale AI solutions. You will learn how AI is applied in real-world, regulated environments, and be part of shaping the future of AI-enabled risk management.
Your impact
Key responsibilities include designing and developing scalable GenAI applications such as copilots, automation tools, and workflow solutions, as well as building and enhancing RAG pipelines using vector databases and retrieval strategies. You will apply prompt engineering techniques to improve model performance, develop and maintain Python-based microservices and RESTful APIs, and support the automation of business and risk processes through AI-driven workflows. Additionally, you will contribute to CI/CD pipelines and DevOps practices, assist in implementing guardrails and validation mechanisms for LLM-based applications, and help embed risk and control considerations into AI solutions. Responsibilities also involve data transformation, cleansing, and preparation for AI model usage, ensuring data quality, and supporting model evaluation and continuous improvement. Collaboration with engineers, data owners, product teams, and risk partners is expected, along with participation in code reviews, design discussions, agile ceremonies, and staying current with evolving trends in LLMs, agent frameworks, and AI engineering tools.
Qualifications
- Bachelor’s degree in Computer Science, Computer Engineering, IT, or a related field (advanced degree preferred)
- 2–4 years of software development experience
- 1–2 years of hands-on experience in GenAI solutions, including LLMs (e.g., OpenAI, Anthropic, AWS Bedrock)
- Experience building RAG systems using vector databases
- Familiarity with agentic frameworks (e.g., LangChain, LangGraph, or similar)
- 2–4 years of experience in cloud development (AWS preferred), REST APIs, and microservices
- Strong programming skills in Python (experience with TypeScript/Java is a plus)
- Experience building enterprise or customer-facing AI applications
- Familiarity with CI/CD and DevOps practices
- Demonstrated ability to work in cross-functional agile teams
- Exposure to LLM guardrails, evaluation frameworks, or AI safety techniques
- Familiarity with AI governance, model risk, or responsible AI concepts
- Experience supporting quality-controlled or regulated environments
Keys to Success in This Role
- Technical Proficiency: Strong Python skills and ability to build scalable microservices
- Quality & Reliability: Deliver robust, well-tested, and production-ready solutions
- Learning Agility: Continuously develop skills in GenAI and emerging technologies
- Collaboration: Work effectively across engineering, product, and risk teams
- Attention to Detail: Ensure high-quality data, outputs, and system performance
Current Freddie Mac employees please apply through the internal career site.
We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
A safe and secure environment is critical to Freddie Mac’s business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.
CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.
Time-type: Full time
FLSA Status: Non-Exempt
Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.
This position has an annualized market-based salary range of $94,000 - $142,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.
At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose.
Position Overview
As a Software Engineer, Professional (GenAI), your role is pivotal in shaping the future of AI-driven business solutions. You will design and develop scalable applications that integrate sophisticated AI models, directly influencing how businesses operate and succeed.
In this role, you will contribute to building next-generation GenAI solutions and automation capabilities, with a focus on embedding risk awareness, controls, and governance into AI-driven systems. Your expertise in Python-based microservices will support the development of robust, quality-controlled frameworks for GenAI solutions, including those supporting governance and approval processes.
By collaborating with GenAI scientists, UX designers, and cross-functional teams, you will help deliver enterprise-grade AI solutions that meet high standards of performance, reliability, and responsible AI practices.
Our Impact
Joining us offers the opportunity to work on cutting-edge GenAI and automation initiatives, gaining hands-on experience in building enterprise-scale AI solutions. You will learn how AI is applied in real-world, regulated environments, and be part of shaping the future of AI-enabled risk management.
Your impact
Key responsibilities include designing and developing scalable GenAI applications such as copilots, automation tools, and workflow solutions, as well as building and enhancing RAG pipelines using vector databases and retrieval strategies. You will apply prompt engineering techniques to improve model performance, develop and maintain Python-based microservices and RESTful APIs, and support the automation of business and risk processes through AI-driven workflows. Additionally, you will contribute to CI/CD pipelines and DevOps practices, assist in implementing guardrails and validation mechanisms for LLM-based applications, and help embed risk and control considerations into AI solutions. Responsibilities also involve data transformation, cleansing, and preparation for AI model usage, ensuring data quality, and supporting model evaluation and continuous improvement. Collaboration with engineers, data owners, product teams, and risk partners is expected, along with participation in code reviews, design discussions, agile ceremonies, and staying current with evolving trends in LLMs, agent frameworks, and AI engineering tools.
Qualifications
- Bachelor’s degree in Computer Science, Computer Engineering, IT, or a related field (advanced degree preferred)
- 2–4 years of software development experience
- 1–2 years of hands-on experience in GenAI solutions, including LLMs (e.g., OpenAI, Anthropic, AWS Bedrock)
- Experience building RAG systems using vector databases
- Familiarity with agentic frameworks (e.g., LangChain, LangGraph, or similar)
- 2–4 years of experience in cloud development (AWS preferred), REST APIs, and microservices
- Strong programming skills in Python (experience with TypeScript/Java is a plus)
- Experience building enterprise or customer-facing AI applications
- Familiarity with CI/CD and DevOps practices
- Demonstrated ability to work in cross-functional agile teams
- Exposure to LLM guardrails, evaluation frameworks, or AI safety techniques
- Familiarity with AI governance, model risk, or responsible AI concepts
- Experience supporting quality-controlled or regulated environments
Keys to Success in This Role
- Technical Proficiency: Strong Python skills and ability to build scalable microservices
- Quality & Reliability: Deliver robust, well-tested, and production-ready solutions
- Learning Agility: Continuously develop skills in GenAI and emerging technologies
- Collaboration: Work effectively across engineering, product, and risk teams
- Attention to Detail: Ensure high-quality data, outputs, and system performance
Current Freddie Mac employees please apply through the internal career site.
We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
A safe and secure environment is critical to Freddie Mac’s business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.
CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.
Time-type: Full time
FLSA Status: Non-Exempt
Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.
This position has an annualized market-based salary range of $94,000 - $142,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.
Search H-1B Jobs by Industry in Virginia
Tips for Finding H-1B Sponsorship Jobs in Virginia
Target the Northern Virginia tech corridor
The area stretching from Arlington to Loudoun County hosts some of the highest concentrations of H-1B-sponsoring employers in the country, including major cloud infrastructure, cybersecurity, and defense technology firms. Focusing your search here meaningfully improves your odds.
Look beyond the obvious tech giants
Federal contractors like Booz Allen Hamilton, Leidos, and SAIC file significant H-1B volumes annually. These employers are headquartered or have major operations in Virginia and sponsor across engineering, data science, and IT roles consistently.
Check DOL disclosure data to verify sponsorship history
The Department of Labor publishes LCA disclosure data at flag.dol.gov, letting you search Virginia employers by H-1B filing volume. Use this to confirm which companies have an active sponsorship track record before investing time in applications.
Use Migrate Mate to filter for verified H-1B roles
Migrate Mate lets you filter job listings specifically by visa sponsorship type, saving hours of searching. Browse H-1B roles in Virginia to find positions where employers have already indicated willingness to sponsor rather than cold-applying across job boards.
Time your applications around federal fiscal cycles
Many Virginia-based federal contractors ramp up hiring in Q3 and Q4 of the calendar year to align with government contract awards. H-1B petitions for these roles often get filed in the months that follow, so targeting this window can be strategic.
Leverage Virginia's university research ecosystem
George Mason University, Virginia Tech, and the University of Virginia all have strong industry partnerships and tech transfer programs. Research commercialization roles at university-affiliated employers are cap-exempt, meaning no lottery wait, and are worth pursuing alongside cap-subject applications.
See all 10,727+ H-1B jobs in Virginia
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B jobs in Virginia.
Get Access To All JobsH-1B Jobs in Virginia: Frequently Asked Questions
Which industries in Virginia sponsor the most H-1B visas?
Information technology and cybersecurity lead H-1B visa sponsorship in Virginia by a significant margin, concentrated in the Northern Virginia tech corridor. Defense contracting is a close second, with firms like Booz Allen Hamilton, Leidos, and SAIC filing large volumes annually. Healthcare systems, financial services, and consulting firms in the Richmond and Arlington areas round out the major sponsoring sectors.
Which cities in Virginia have the most H-1B sponsorship jobs?
Northern Virginia cities including Arlington, Reston, Herndon, and McLean account for the largest share of H-1B sponsorship activity in the state, largely due to their proximity to federal agencies and the concentration of government contractors. Richmond has a growing presence in healthcare and finance sponsorship. Fairfax and Chantilly are also notable given their dense clusters of technology and defense employers.
What types of roles typically qualify for H-1B sponsorship in Virginia?
H-1B sponsorship in Virginia most commonly covers software engineers, cloud architects, cybersecurity analysts, data scientists, systems analysts, and IT project managers in the technology and defense sectors. Healthcare roles such as physicians, pharmacists, and physical therapists also qualify. Financial analysts, management consultants, and engineering roles tied to federal contracts are well represented as well.
How do I find H-1B sponsorship jobs in Virginia?
Migrate Mate is built specifically for this search, letting you filter job listings by visa type so you see only roles where employers have indicated H-1B sponsorship. You can also cross-reference the DOL's LCA disclosure database at flag.dol.gov to identify Virginia employers with consistent H-1B filing histories, then target those companies directly with tailored applications.
What is the prevailing wage for H-1B 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.