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Ai Programmer Jobs in Virginia (NOW HIRING)

Venturegloballng

Principal, AI Engineer

Arlington, VA · On-site

Principal, AI Engineer Located: Arlington Summary The Principal AI Engineer is the senior-most individual contributor and technical authority within Venture Global's AI Engineering function. This ...

New

Kodeva LLC

AI Engineer

Reston, VA · On-site

AI Engineer Fulltime Location:- Reston, VA/Atlanta, GA Role Overview We are seeking a hands‑on AI Engineer to design and implement AI‑enabled software engineering solutions that accelerate the ...

Venturegloballng

Senior Applied AI Engineer

Arlington, VA · On-site

$120K - $165K/yr

Senior Applied AI Engineer Located: Arlington Summary The Senior Applied AI Engineer is responsible for turning business and operational needs into deployed AI solutions. This role works directly ...

Capital One

AI Engineer

Mclean, VA · On-site

AI Engineer 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 ...

New

Surescripts

Principal AI Engineer

Arlington, VA · On-site

The Principal AI Engineer is the most senior individual contributor and technical lead for Surescripts' AI solutions. The role owns the how, the execution, and the by-when for AI initiatives across ...

Capital One

AI Engineer

Mclean, VA · On-site

AI Engineer 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 ...

Venture Global, Inc.

Senior Applied AI Engineer

Arlington, VA · On-site

$120K - $165K/yr

Senior Applied AI Engineer Located: Arlington Summary The Senior Applied AI Engineer is responsible for turning business and operational needs into deployed AI solutions. This role works directly ...

Venturegloballng

Senior AI Platform Engineer

Arlington, VA

$120K - $165K/yr

Senior AI Platform Engineer Located: Arlington Summary The Senior AI Platform Engineer is responsible for building and operating the infrastructure that powers Venture Global's AI Engineering ...

Merican

AWS AI Engineer

Herndon, VA · On-site

AWS AI Engineer Location: Herndon, VA Work Mode: Onsite About the Role We are seeking a highly skilled AWS AI Engineer with strong hands-on experience in Kubernetes, EKS, and Generative AI systems.

Luck Stone

AI Engineer

Manakin Sabot, VA

$152K/yr

Leveraging a strong background in machine learning, artificial intelligence, and data science, the AI engineer will design, develop, and deploy AI solutions to address business challenges and ...

Fivecast

AI Engineer

Arlington, VA · On-site

About the Role We are seeking an AI Engineer to design, build, and integrate advanced AI capabilities into enterprise‑grade software solutions. This role focuses on implementing AI-driven features ...

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All JobsAi Programmer JobsAi Programmer Jobs in Virginia

Ai Programmer information

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How much do ai programmer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for ai programmer in Virginia is $39.20, according to ZipRecruiter salary data. Most workers in this role earn between $25.48 and $51.01 per hour, depending on experience, location, and employer.

What does an AI programmer do?

An AI Programmer develops and implements artificial intelligence algorithms in software applications, such as games, robotics, or machine learning systems. They write code, optimize AI models, and ensure efficient decision-making processes. Their role often involves working with machine learning frameworks, neural networks, and behavior modeling. AI Programmers collaborate with data scientists and developers to create intelligent systems that can learn, adapt, and make automated decisions.

What are the key skills and qualifications needed to thrive in the AI programmer position, and why are they important?

To thrive as an AI Programmer, you need strong proficiency in programming languages such as Python or C++, a solid understanding of machine learning concepts, and often a bachelor's degree in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch and knowledge of data structures and algorithms are typically required, with certifications in machine learning or AI being advantageous. Analytical thinking, strong problem-solving skills, and effective teamwork are key soft skills that set candidates apart. These competencies enable AI Programmers to design, implement, and optimize intelligent systems that address complex real-world challenges.

What does a typical workday look like for an AI programmer?

A typical workday for an AI Programmer involves designing, coding, and testing machine learning models to solve specific problems or enhance product features. You'll often collaborate closely with data scientists, software engineers, and product managers to integrate AI solutions into larger applications or workflows. The role frequently includes experimenting with new algorithms, debugging models, and participating in regular team meetings to discuss project progress. Depending on the company, you may also contribute to code reviews, technical documentation, and ongoing model optimization. This dynamic environment ensures continuous learning and exposure to cutting-edge technologies.

How do you become an AI programmer?

To become an AI programmer, you typically need a strong foundation in programming languages such as Python or C++, knowledge of machine learning frameworks like TensorFlow or PyTorch, and a background in computer science, mathematics, or data science. Gaining experience through projects, online courses, or certifications in AI and machine learning is also important for developing relevant skills.

How much does an AI programmer make?

AI programmers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and deep learning can earn higher salaries, especially with advanced certifications and proficiency in programming languages like Python or frameworks such as TensorFlow.

What are the most commonly searched types of Ai Programmer jobs in Virginia?

The most popular types of Ai Programmer jobs in Virginia are:

What are popular job titles related to Ai Programmer jobs in Virginia?

For Ai Programmer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Ai Programmer jobs in Virginia look for?

The top searched job categories for Ai Programmer jobs in Virginia are:

What cities in Virginia are hiring for Ai Programmer jobs?

Cities in Virginia with the most Ai Programmer job openings:

Ai Programmer jobs near you
Infographic showing various Ai Programmer job openings in Virginia as of August 2026, with employment types broken down into 71% Full Time, 27% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $81,529 per year, or $39.2 per hour.

Principal, AI Engineer

Venture Global, Inc.

Arlington, VA • On-site

Full-time

Posted 4 days ago

Job description

Venture Global LNG ("Venture Global") is a long-term, low-cost provider of American-produced liquefied natural gas. The company's Louisiana-based export projects service the global demand for North American natural gas and support the long-term development of clean and reliable North American energy supplies. Using reliable, proven technology in an innovative plant design configuration, Venture Global's modular, mid-scale plant design will replace traditional designs as it allows for the same efficiency and operational reliability at significantly lower capital cost.
We are seeking qualified applicants for the position:
Principal, AI Engineer
Located:
Arlington
Summary
The Principal AI Engineer is the senior-most individual contributor and technical authority within Venture Global's AI Engineering function. This role owns the reference architecture, design patterns, and engineering standards for how the company builds and deploys AI agents and machine learning systems across cloud and secure on-premises environments. The Principal AI Engineer works hands-on, prototyping, building, and hardening the most complex and highest-risk components, while setting the technical direction that the broader team executes against. This role partners closely with the Director of AI Engineering on strategy, with Data Engineering on ontology and semantic modeling, and with senior stakeholders to ensure architectural decisions are sound, scalable, and secure. The Principal AI Engineer will define safety-first, human-in-the-loop design patterns for any system interfacing with operational technology. The measures of an ideal candidate include deep technical mastery, architectural judgment, influence without authority, mentorship of senior engineers, and a strong bias for delivery. This new position will be based in our Arlington, VA headquarters and report to the Director of AI Engineering.
The position is full-time in office located in Arlington, VA.
General Description Duties & Responsibilities
  • Define and own the reference architecture for AI agent development and deployment across cloud and on-premises environments.
  • Establish engineering standards, design patterns, and best practices for agentic systems, model serving, and AI/ML integration.
  • Lead the technical design and hands-on implementation of the most complex, high-risk, or foundational components of the AI platform.
  • Architect self-hosted open-weight LLM solutions, including model selection, fine-tuning strategies, quantization, and inference/serving optimization for both batch and streaming workloads.
  • Design scalable agent architectures capable of analyzing enterprise data to drive operational efficiency, commercial value, and insight discovery.
  • Partner with Data Engineering to ensure AI systems are grounded in well-designed ontology and semantic models.
  • Define safety-first, human-in-the-loop patterns and appropriate guardrails for AI systems.
  • Evaluate and select AI frameworks, tooling, and infrastructure; prototype and validate emerging approaches before adoption.
  • Provide deep technical mentorship to senior AI engineers, platform engineers, applied AI engineers, and machine learning engineers.
  • Establish standards for model governance, monitoring, evaluation, and documentation to ensure maintainability and reliability.
  • Contribute to infrastructure and procurement decisions by defining technical requirements for GPU servers and AI infrastructure.
  • Serve as the primary technical escalation point for the most challenging engineering problems across the team.
  • Contribute to strategic discussions and represent AI Engineering in cross-functional architecture and design reviews.

Qualifications
  • 10+ years of experience in software, data, or machine learning engineering, with a track record of technical leadership as a senior individual contributor.
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or related field of study.
  • Deep, hands-on expertise designing and deploying production AI/ML systems at scale.
  • Advanced experience with large language models, including self-hosting open-weight models, fine-tuning, quantization, and serving/inference optimization.
  • Demonstrated experience architecting agentic AI systems and the orchestration patterns that support them.
  • Expert-level proficiency in Python and modern AI/ML tooling and frameworks.
  • Strong experience across cloud platforms and on-premises GPU infrastructure.
  • Proven ability to set technical direction and influence engineering decisions without direct authority.
  • Experience mentoring senior engineers and elevating the technical bar of a team.
  • Excellent communication skills, with the ability to articulate complex technical trade-offs to both engineers and non-technical stakeholders.
  • Strong work ethic with the ability to effectively prioritize, meet deadlines, adapt to changing priorities, and succeed in a fast-paced environment.

Preferred Experience
  • Advanced degree in a quantitative or technical discipline.
  • Experience with Databricks and streaming data platforms.
  • Experience deploying AI/ML solutions in or adjacent to operational technology (OT), industrial, or safety-critical environments.
  • Deep familiarity with agent frameworks (e.g., LangGraph, CrewAI, or custom orchestration).
  • Experience with ontology and semantic modeling approaches.
  • Experience developing custom machine learning models (neural networks and smaller models) in addition to LLM-based systems.
  • Experience in the energy, LNG, manufacturing, or heavy industrial sectors.
  • Experience utilizing DevOps/MLOps/LLMOps practices and tooling.
  • Strong technical writing skills.

Salary Range:
$190,400 - $238,000
Venture Global LNG is an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law.

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