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Artificial Intelligence Engineer Jobs in Reston, VA

SAIC

Artificial Intelligence (AI) SETA

Chantilly, VA

$200K - $240K/yr

Engineering and Sciences Subcategory: Sys Integration Schedule: Full-Time Shift: Day Job Travel: No ... ORA_ON_SITE Description The Customer's Artificial Intelligence (AI) Research Team Systems ...

SAIC

Artificial Intelligence (AI) SETA

Chantilly, VA · On-site

$200K - $240K/yr

Description The Customer's Artificial Intelligence (AI) Research Team Systems Engineering and Technical Assistant (SETA) role is a full-time position central to the coordination and smooth daily ...

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Artificial Intelligence Engineer information

See Reston, VA salary details

$45.8K

$110.7K

$180.5K

How much do artificial intelligence engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for artificial intelligence engineer in Reston, VA is $110,679.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,100.00 and $137,800.00 per year, depending on experience, location, and employer.

What does an Artificial Intelligence Engineer do?

An Artificial Intelligence Engineer designs, develops, and implements AI models and algorithms to solve complex problems. They work with machine learning, deep learning, natural language processing, and data science to create intelligent systems. Their responsibilities include data preprocessing, model training, deployment, and optimization to enhance AI performance. AI Engineers collaborate with data scientists, software developers, and business teams to integrate AI solutions into real-world applications.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Engineer?

To thrive as an Artificial Intelligence Engineer, you need proficiency in programming languages such as Python or Java, a solid background in mathematics and statistics, and experience with machine learning frameworks, often supported by a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, and cloud platforms (AWS, Azure, or Google Cloud) along with certifications in AI or data science are highly valued. Strong problem-solving abilities, effective communication, and collaborative teamwork skills set standout professionals apart. These competencies are crucial for designing robust AI solutions, integrating them into business processes, and working efficiently within interdisciplinary teams.

Is an artificial intelligence engineer still in demand?

Artificial intelligence engineers are currently in high demand due to the rapid growth of AI applications across industries such as technology, healthcare, and finance. The role requires skills in machine learning, deep learning, and programming languages like Python, with many organizations actively hiring to develop AI solutions.

What is an artificial intelligence engineer's salary?

The salary of an artificial intelligence engineer varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Senior roles or those with specialized skills in machine learning, deep learning, and programming languages like Python or TensorFlow tend to earn higher salaries.

What jobs do artificial intelligence engineers do?

Artificial intelligence engineers develop, implement, and optimize AI models and algorithms for applications such as machine learning, natural language processing, and computer vision. They work with programming languages like Python or Java, utilize frameworks like TensorFlow or PyTorch, and often collaborate with data scientists and software developers to create intelligent systems. Their responsibilities include data preprocessing, model training, testing, and deployment in various industries including tech, healthcare, and finance.

What are the most commonly searched types of Artificial Intelligence Engineer jobs in Reston, VA?

The most popular types of Artificial Intelligence Engineer jobs in Reston, VA are:

What are popular job titles related to Artificial Intelligence Engineer jobs in Reston, VA?

For Artificial Intelligence Engineer jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Engineer jobs in Reston, VA look for?

The top searched job categories for Artificial Intelligence Engineer jobs in Reston, VA are:

What cities near Reston, VA are hiring for Artificial Intelligence Engineer jobs?

Cities near Reston, VA with the most Artificial Intelligence Engineer job openings:

Artificial Intelligence Engineer jobs near you
Infographic showing various Artificial Intelligence Engineer job openings in Reston, VA as of August 2026, with employment types broken down into 21% Internship, and 79% Full Time. Highlights an 100% In-person job distribution, with an average salary of $110,679 per year, or $53.2 per hour.

Artificial Intelligence Technical Lead

Joint Technology Solution, Inc

Silver Spring, MD • On-site, Remote

Full-time

Re-posted 20 days ago

Job description

We are seeking an experienced Subject Matter Expert in Artificial Intelligence. This person shall provide technical Artificial Intelligence (AI) expertise and support services required to advance NWS priorities in science, research, policy, program management, and strategic implementation.
They will serve as the technical lead for AI initiatives, overseeing solution architecture, project delivery, AI/ML development, DevSecOps/MLOps practices, and stakeholder collaboration to advance enterprise AI capabilities.
This support shall include, but is not limited to, the following tasks:
Duties:
User Needs and Technical Project Management Support
  • Translates complex operational, scientific, and business challenges and user feedback into actionable technical requirements, system architectures, and implementation plans for AI-driven solutions.
  • Oversees the lifecycle of AI initiatives from a technical perspective by prioritizing features that maximize organizational value while managing resource constraints and risks.
  • Coordinates between cross-functional teams to ensure that project milestones and AI solutions align with enterprise architecture and cybersecurity requirements as well as meet both technical benchmarks and user expectations.

Technical Consultation and Architecture
  • Provides expert guidance to development teams on AI/ML architectural design, software engineering practices, data pipelines, model selection, deployment strategies, and the implementation of best practices, including testing and maintenance.
  • Conducts rigorous technical assessments and architecture reviews of proposed and ongoing AI projects to assess feasibility, scalability, security, performance standards, operational readiness, and risk.
  • Identifies potential technical bottlenecks and ethical considerations in AI workflows and recommends proactive solutions to timely and responsible delivery.
  • Recommend and implement best practices for software engineering, Development, Security, and Operations (DevSecOps), Machine Learning Operations (MLOps), testing, monitoring, observability, and lifecycle management of AI systems.

Technical Development
  • Leads the end-to-end development of AI projects for NWS enterprise priorities that do not have a development team, ensuring they are built for production-grade reliability and scalability.
  • Implement and support Continuous Integration and Continuous Deployment (CI/CD), DevSecOps, and MLOps practices, including automated testing, model versioning, deployment automation, monitoring, and incident response.
  • Troubleshoot operational issues, performance bottlenecks, and deployment challenges associated with AI systems and supporting infrastructure.
  • Supports the development of proof-of-concepts to test emerging AI technologies and their potential application within the enterprise.

Communications
  • Distills sophisticated AI architectures, concepts, engineering challenges, and model performance metrics into clear, non-technical insights for executive leadership and stakeholders.
  • Prepare technical documentation, implementation plans, architecture diagrams, deployment guidance, and operational support materials.
  • Facilitates dialogue between developers, data scientists, engineers, and product owners to maintain clarity on project goals and ensure continuous feedback.
  • Supports the communication of current NWS AI capabilities as well as future AI opportunities, presenting technical progress, operational risks, strategic wins, and possibilities in formal reports and briefings.
  • Recommend explicitly referencing Development, Security, and Operations (DevSecOps) and Machine Learning Operations (MLOps) practices. These terms communicate that the role is expected to support the operationalization of AI capabilities, including automated deployment pipelines, model versioning, security controls, monitoring, observability, and ongoing maintenance.

Experience:
  • Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, Information Technology, or related field.
  • Minimum 7-10 years of experience in software engineering, systems architecture, data science, or related technical fields.
  • Minimum 5 years of experience designing, developing, and implementing AI/ML solutions in production environments.
  • Experience leading complex technical projects involving cross-functional teams and stakeholders.
  • Ability to obtain and maintain a Public Trust or other required federal security clearance.
  • Demonstrated experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar technologies.
  • Experience developing and deploying machine learning models in cloud environments such as AWS, Azure, or Google Cloud.
  • Strong knowledge of DevSecOps, MLOps, CI/CD pipelines, and software development lifecycle best practices.
  • Experience designing scalable system architectures and data pipelines.
  • Proficiency in Python and other relevant programming languages.
  • Experience implementing monitoring, testing, version control, and operational support for AI systems.

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