AI ML Engineer Visa Sponsorship Jobs in Virginia
Virginia is one of the strongest markets in the U.S. for AI/ML engineer visa sponsorship, driven by a dense concentration of federal contractors, defense tech firms, and cloud infrastructure companies across Northern Virginia, Arlington, and Reston. Major employers including Booz Allen Hamilton, Leidos, Amazon Web Services, and Capital One actively hire and sponsor international AI/ML talent.
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Get Access To All JobsINTRODUCTION
New US based .NET team tasked with making an existing, modern platform utilize Microsoft's latest suite of enterprise AI tools and services.
This Jobot Job is hosted by: Charles Simmons
Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
Salary: $140,000 - $180,000 per year
A bit about us:
We’re transforming how government agencies digitize forms and automate workflows. Our new initiative brings AI directly into this process - using LLMs, vector search, and structured PDF parsing to accelerate public service delivery. We’re not just bolting AI onto the side. It’s becoming core to how our platform works. We’re looking for a senior machine learning engineer to take the lead on this effort. You’ll be the architect of our AI capability - not just a contributor. Your work will touch thousands of public-facing government forms, helping real people get things done faster and more accurately. This isn’t an R&D team running experiments - it’s about delivering intelligent automation, right now.
WHY JOIN US?
- 100% remote based in the US
- Help shape the AI transformation of public sector services
- Lead initiatives that ship real impact, not just prototypes
- Greenfield development on a proven, profitable platform
- Comprehensive Health, Vision, Dental coverage for individuals and families
JOB DETAILS
You’ll design and build our machine learning infrastructure - starting with vector search and retrieval-augmented generation and expanding into fine-tuned LLMs with human feedback loops. You’ll work across product and engineering to embed intelligent behaviors into our no-code form builder. This is not a research job or a sandbox role - it’s a real opportunity to push AI into production at scale.
WHAT YOU’LL DO
- Build and tune vector-based retrieval pipelines using OpenAI embeddings and Azure AI Search
- Design prompt strategies and agents to translate parsed PDF data into form component schemas
- Fine-tune LLMs for structured output generation with low-latency performance in mind
- Lead the development of an RLHF loop that incorporates builder UI feedback and audit data
- Help architect systems that blend traditional APIs and probabilistic inference reliably
- Work alongside full-stack and platform engineers to get it all running in production
- Stay plugged into the latest model capabilities, and make smart calls on what to adopt
TECH YOU’LL USE
- Azure AI Studio, Azure OpenAI, GPT-4o
- Python (for agents, functions, orchestration), .NET 8 (for integration layers)
- Azure AI Search, CosmosDB, MSSQL
- Kubernetes (AKS), Azure Blob, Octopus for CI/CD
- Extend.ai for structured PDF parsing
WHAT WE’RE LOOKING FOR
- 5+ years in applied ML, including experience with retrieval, embeddings, and prompt engineering
- Strong Python skills and familiarity with production-grade ML pipelines
- Experience designing and tuning RAG workflows with hybrid search
- Familiarity with RLHF and fine-tuning on structured JSON output
- Solid grasp of system-level thinking—how to bring ML into product environments cleanly
NICE TO HAVE:
.NET understanding, especially for integration and orchestration layers
WHAT SUCCESS LOOKS LIKE IN 6 MONTHS
- You’ve shipped a working vector search + RAG pipeline integrated into our form builder
- You’ve scoped and kicked off our first LLM fine-tuning cycle
- We’re collecting human feedback to improve model accuracy
- You’ve helped define the roadmap for AI integrations across the platform
Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
WANT TO LEARN MORE ABOUT THIS ROLE AND JOBOT?
Click our Jobot logo and follow our LinkedIn page!
INTRODUCTION
New US based .NET team tasked with making an existing, modern platform utilize Microsoft's latest suite of enterprise AI tools and services.
This Jobot Job is hosted by: Charles Simmons
Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
Salary: $140,000 - $180,000 per year
A bit about us:
We’re transforming how government agencies digitize forms and automate workflows. Our new initiative brings AI directly into this process - using LLMs, vector search, and structured PDF parsing to accelerate public service delivery. We’re not just bolting AI onto the side. It’s becoming core to how our platform works. We’re looking for a senior machine learning engineer to take the lead on this effort. You’ll be the architect of our AI capability - not just a contributor. Your work will touch thousands of public-facing government forms, helping real people get things done faster and more accurately. This isn’t an R&D team running experiments - it’s about delivering intelligent automation, right now.
WHY JOIN US?
- 100% remote based in the US
- Help shape the AI transformation of public sector services
- Lead initiatives that ship real impact, not just prototypes
- Greenfield development on a proven, profitable platform
- Comprehensive Health, Vision, Dental coverage for individuals and families
JOB DETAILS
You’ll design and build our machine learning infrastructure - starting with vector search and retrieval-augmented generation and expanding into fine-tuned LLMs with human feedback loops. You’ll work across product and engineering to embed intelligent behaviors into our no-code form builder. This is not a research job or a sandbox role - it’s a real opportunity to push AI into production at scale.
WHAT YOU’LL DO
- Build and tune vector-based retrieval pipelines using OpenAI embeddings and Azure AI Search
- Design prompt strategies and agents to translate parsed PDF data into form component schemas
- Fine-tune LLMs for structured output generation with low-latency performance in mind
- Lead the development of an RLHF loop that incorporates builder UI feedback and audit data
- Help architect systems that blend traditional APIs and probabilistic inference reliably
- Work alongside full-stack and platform engineers to get it all running in production
- Stay plugged into the latest model capabilities, and make smart calls on what to adopt
TECH YOU’LL USE
- Azure AI Studio, Azure OpenAI, GPT-4o
- Python (for agents, functions, orchestration), .NET 8 (for integration layers)
- Azure AI Search, CosmosDB, MSSQL
- Kubernetes (AKS), Azure Blob, Octopus for CI/CD
- Extend.ai for structured PDF parsing
WHAT WE’RE LOOKING FOR
- 5+ years in applied ML, including experience with retrieval, embeddings, and prompt engineering
- Strong Python skills and familiarity with production-grade ML pipelines
- Experience designing and tuning RAG workflows with hybrid search
- Familiarity with RLHF and fine-tuning on structured JSON output
- Solid grasp of system-level thinking—how to bring ML into product environments cleanly
NICE TO HAVE:
.NET understanding, especially for integration and orchestration layers
WHAT SUCCESS LOOKS LIKE IN 6 MONTHS
- You’ve shipped a working vector search + RAG pipeline integrated into our form builder
- You’ve scoped and kicked off our first LLM fine-tuning cycle
- We’re collecting human feedback to improve model accuracy
- You’ve helped define the roadmap for AI integrations across the platform
Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
WANT TO LEARN MORE ABOUT THIS ROLE AND JOBOT?
Click our Jobot logo and follow our LinkedIn page!
AI ML Engineer Job Roles in Virginia
See all 86+ AI ML Engineer Jobs in Virginia
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Search AI ML Engineer Jobs in VirginiaAI ML Engineer Jobs in Virginia: Frequently Asked Questions
Which companies sponsor visas for AI/ML engineers in Virginia?
Northern Virginia's tech corridor is home to several of the most active sponsors for AI/ML roles. Amazon Web Services (Herndon), Capital One (McLean), Booz Allen Hamilton (McLean), Leidos (Reston), and Palantir have all filed H-1B petitions for AI and machine learning engineers. Defense and intelligence contractors are particularly active given Virginia's proximity to federal agencies, making it one of the more concentrated sponsorship markets in the country.
Which visa types are most common for AI/ML engineer roles in Virginia?
The H-1B is by far the most common visa category for AI/ML engineers in Virginia, as these roles consistently qualify as specialty occupations requiring at least a bachelor's degree in computer science, data science, or a related field. Candidates with extraordinary ability may also pursue the O-1A. Those transferring within a multinational company may qualify for an L-1B. Australians have the additional option of the E-3 visa, which has no lottery.
Which cities in Virginia have the most AI/ML engineer sponsorship jobs?
Northern Virginia dominates, with McLean, Reston, Herndon, Arlington, and Tysons Corner accounting for the large majority of AI/ML sponsorship activity. This corridor sits at the heart of the Data Center Alley and benefits from proximity to federal agencies and defense contractors. Richmond has a smaller but growing presence, particularly in fintech and healthcare AI. Remote-eligible roles headquartered in Virginia also appear frequently in this market.
How to find ai ml engineer visa sponsorship jobs in Virginia?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can browse AI/ML engineer roles in Virginia without sifting through postings that don't support international candidates. The platform is built for this use case, covering roles across Northern Virginia's tech and defense corridor as well as Richmond. Searching by role and state on Migrate Mate surfaces employers who have a documented history of sponsoring work visas for AI and ML positions.
Are there any state-specific considerations for AI/ML engineers seeking sponsorship in Virginia?
Virginia's heavy concentration of federal contractors introduces a practical factor: many AI/ML roles require security clearances, which are generally only available to U.S. citizens or permanent residents. This limits the number of open positions that are accessible to visa holders, so it's worth filtering for commercial or non-cleared roles early in your search. The presence of major research universities like Virginia Tech and George Mason also creates a pipeline that employers draw from, meaning competition for sponsored roles can be significant.
What is the prevailing wage for sponsored ai ml 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.
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