AI Engineer Visa Sponsorship Jobs in Washington DC
Washington DC's AI engineering market is driven by federal agencies, defense contractors, and tech-forward nonprofits, with major employers like Booz Allen Hamilton, Leidos, and Palantir actively hiring. The region's concentration of government-adjacent AI work creates consistent demand for skilled engineers who need visa sponsorship.
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The Principal AI Engineer acts as Humana’s senior technical authority for agentic AI platforms, overseeing strategy, architecture, and engineering execution. This role ensures the development and operation of secure, scalable, and innovative AI infrastructure, tools, and services that empower teams to build and deploy autonomous agent-driven applications. By collaborating across engineering, data science, and operations, the Principal AI Engineer advances enterprise AI capabilities, sets technical standards, and delivers production-ready solutions aligned with Humana’s long-term technology vision.
Responsibilities
- Lead enterprise architecture, design, and engineering for agentic AI platforms, ensuring secure, scalable, and reliable infrastructure.
- Build and maintain developer tools, CI/CD pipelines, and automation for efficient agentic AI application development and deployment.
- Architect and manage cloud-based AI services (GCP preferred), including Kubernetes, security controls, and observability systems.
- Develop robust backend APIs and services in Python to support agentic AI platform functionality and data management.
- Collaborate with cross-functional teams, set engineering standards, mentor peers, and drive innovation aligned with Humana’s AI technology roadmap.
Use your skills to make an impact
Required Qualifications
- Bachelor’s or Master’s in Computer Science, Engineering, or a related quantitative field.
- 10+ years of professional software or platform engineering experience.
- Deep expertise in Python, including building production services and shared libraries used by others.
- Hands-on experience with modern AI systems, including LLM integration, RAG, embeddings, and applied generative AI patterns.
- Strong background in machine learning engineering, including model deployment, monitoring, evaluation, and lifecycle management.
- Expert-level understanding of FastAPI, Flask, or similar frameworks, and REST/gRPC service design.
- Strong proficiency with cloud-native development on AWS, GCP, or Azure.
- Minimum 5 years of containerization and orchestration experience (Docker, Kubernetes).
- Production experience with CI/CD pipelines, version control, and modern DevOps practices.
- Demonstrated ability to own large, ambiguous problems and deliver high-value, high-quality solutions.
Preferred Qualifications
- Experience shaping engineering culture or influencing architectural direction across teams.
- Experience with generative AI tooling (e.g., LangChain, LlamaIndex, PydanticAI, or similar).
- Strong understanding of deep learning frameworks (PyTorch, TensorFlow).
- Experience with distributed systems (Akka, Flink, or similar).
- Prior work building platforms rather than one-off applications.
- A track record of pragmatic decision-making, balancing innovation with maintainability and long-term value.
Additional Information
This position follows a hybrid work style and must be performed at one of our designated IT hub locations: Louisville, KY; Dallas, TX; Boston, MA; New York City; or Washington, D.C.
To ensure Home or Hybrid Home/Office employees’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria:
At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested.
Satellite, cellular and microwave connection can be used only if approved by leadership.
Employees who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.
Humana will provide Home or Hybrid Home/Office employees with telephone equipment appropriate to meet the business requirements for their position/job.
Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.
Scheduled Weekly Hours
40
Pay Range
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.
$172,200 - $236,900 per year
This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.
Description of Benefits
Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.
About Us
About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com.
Equal Opportunity Employer
It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.

Become a part of our caring community
The Principal AI Engineer acts as Humana’s senior technical authority for agentic AI platforms, overseeing strategy, architecture, and engineering execution. This role ensures the development and operation of secure, scalable, and innovative AI infrastructure, tools, and services that empower teams to build and deploy autonomous agent-driven applications. By collaborating across engineering, data science, and operations, the Principal AI Engineer advances enterprise AI capabilities, sets technical standards, and delivers production-ready solutions aligned with Humana’s long-term technology vision.
Responsibilities
- Lead enterprise architecture, design, and engineering for agentic AI platforms, ensuring secure, scalable, and reliable infrastructure.
- Build and maintain developer tools, CI/CD pipelines, and automation for efficient agentic AI application development and deployment.
- Architect and manage cloud-based AI services (GCP preferred), including Kubernetes, security controls, and observability systems.
- Develop robust backend APIs and services in Python to support agentic AI platform functionality and data management.
- Collaborate with cross-functional teams, set engineering standards, mentor peers, and drive innovation aligned with Humana’s AI technology roadmap.
Use your skills to make an impact
Required Qualifications
- Bachelor’s or Master’s in Computer Science, Engineering, or a related quantitative field.
- 10+ years of professional software or platform engineering experience.
- Deep expertise in Python, including building production services and shared libraries used by others.
- Hands-on experience with modern AI systems, including LLM integration, RAG, embeddings, and applied generative AI patterns.
- Strong background in machine learning engineering, including model deployment, monitoring, evaluation, and lifecycle management.
- Expert-level understanding of FastAPI, Flask, or similar frameworks, and REST/gRPC service design.
- Strong proficiency with cloud-native development on AWS, GCP, or Azure.
- Minimum 5 years of containerization and orchestration experience (Docker, Kubernetes).
- Production experience with CI/CD pipelines, version control, and modern DevOps practices.
- Demonstrated ability to own large, ambiguous problems and deliver high-value, high-quality solutions.
Preferred Qualifications
- Experience shaping engineering culture or influencing architectural direction across teams.
- Experience with generative AI tooling (e.g., LangChain, LlamaIndex, PydanticAI, or similar).
- Strong understanding of deep learning frameworks (PyTorch, TensorFlow).
- Experience with distributed systems (Akka, Flink, or similar).
- Prior work building platforms rather than one-off applications.
- A track record of pragmatic decision-making, balancing innovation with maintainability and long-term value.
Additional Information
This position follows a hybrid work style and must be performed at one of our designated IT hub locations: Louisville, KY; Dallas, TX; Boston, MA; New York City; or Washington, D.C.
To ensure Home or Hybrid Home/Office employees’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria:
At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested.
Satellite, cellular and microwave connection can be used only if approved by leadership.
Employees who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.
Humana will provide Home or Hybrid Home/Office employees with telephone equipment appropriate to meet the business requirements for their position/job.
Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.
Scheduled Weekly Hours
40
Pay Range
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.
$172,200 - $236,900 per year
This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.
Description of Benefits
Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.
About Us
About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com.
Equal Opportunity Employer
It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.
AI Engineer Job Roles in Washington DC
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Search AI Engineer Jobs in Washington DCAI Engineer Jobs in Washington DC: Frequently Asked Questions
Which companies sponsor visas for AI engineers in Washington DC?
Federal contractors and technology consultancies are among the most active sponsors in the DC area. Booz Allen Hamilton, Leidos, SAIC, Palantir, and Deloitte regularly file H-1B petitions for AI engineering roles. Amazon Web Services and Microsoft also maintain a presence in the greater DC metro, including Northern Virginia, and have sponsored AI engineers through H-1B and other visa categories.
Which visa types are most common for AI engineer roles in Washington DC?
The H-1B is the most common visa for AI engineers in Washington DC, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, machine learning, or a related field. Candidates with exceptional research records may also qualify for the O-1A. Some positions at universities and nonprofit research institutions can qualify for cap-exempt H-1B filings.
How to find ai engineer visa sponsorship jobs in Washington DC?
Migrate Mate filters job listings specifically for visa sponsorship, making it straightforward to find AI engineer roles in Washington DC without sorting through positions that don't sponsor. The platform focuses on employers with a demonstrated history of sponsoring work visas, which is especially useful in the DC market where government contractor roles often have specific clearance and sponsorship considerations worth understanding upfront.
Which cities or areas in Washington DC have the most AI engineer sponsorship jobs?
Washington DC proper hosts a concentration of AI engineering roles tied to federal agencies, think tanks, and policy-adjacent tech firms. The broader DC metro extends sponsorship opportunities into Northern Virginia, particularly in the Tysons Corner and Arlington corridors where major defense contractors and cloud infrastructure companies are headquartered. Bethesda and Rockville in Maryland also have notable clusters around health-tech and government research.
Are there state-specific or role-specific considerations for AI engineers seeking sponsorship in Washington DC?
AI engineers pursuing roles with federal contractors should be aware that many positions require security clearances, which can complicate or delay sponsorship for foreign nationals. Non-US citizens can begin the clearance process after receiving a conditional offer, but the timeline and eligibility vary. DC also has a strong university pipeline through Georgetown, George Washington University, and American University, which contributes a steady flow of OPT candidates transitioning to sponsored status.
What is the prevailing wage for sponsored ai engineer jobs in Washington DC?
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.
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