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Artificial Intelligence Engineer Jobs in Reston, VA

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Artificial Intelligence Engineer information

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$45.8K

$110.7K

$180.5K

How much do artificial intelligence engineer jobs pay per year?

As of Aug 21, 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 Cybersecurity Engineer

Entarian

Arlington, VA • On-site

Full-time

Re-posted 23 days ago

Job description

We are seeking a skilled Artificial Intelligence Cybersecurity Engineer to join our team and ensure the seamless deployment, monitoring, and optimization of AI models in production. 

Sev1Tech is seeking an AI Integration Engineer to integrate AI models into production systems, ensuring robust performance, real-time monitoring, and secure operations. The AI Integration Engineer will bridge the gap between AI model development and production systems, integrating models into applications, APIs, and infrastructure. This role focuses on building dashboards for real-time and historical model health, detecting data drift, and managing AI logging, while ensuring secure-by-design practices and alignment with business objectives. 

Key Responsibilities 

  • Model Integration: Integrate AI/ML models into applications (e.g., web, mobile, IoT) using APIs (REST, gRPC) and platforms like TensorFlow Serving or AWS SageMaker. 
  • Dashboard Development: Create real-time and historical dashboards using Grafana, Kibana, or Plotly to monitor model health (e.g., latency, accuracy) and data drift. 
  • Drift and Health Monitoring: Implement monitoring pipelines with tools like Evidently AI or Weights & Biases to detect data drift and model degradation, triggering alerts as needed. 
  • Logging and Tracing: Set up logging systems with ELK Stack, OpenTelemetry, or LangSmith to capture AI events, errors, and traces for debugging and auditing. 
  • Security Implementation: Apply secure-by-design principles to protect models and data from vulnerabilities (e.g., adversarial attacks, data leakage) using tools like Adversarial Robustness Toolbox (ART). 
  • System Optimization: Optimize model inference for performance (e.g., via quantization, edge deployment) and ensure compatibility with cloud (AWS, Azure) or on-premises infrastructure. 
  • Collaboration: Partner with data scientists to understand model requirements, DevOps for infrastructure alignment, and stakeholders for reporting needs. 
  • Testing and Validation: Perform end-to-end testing of AI integrations, including stress testing and validation of dashboard metrics. 
  • Compliance: Ensure integrations comply with regulations like GDPR, HIPAA, or NIST AI RMF for secure data handling. 

    • Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field. 
    • Experience: 
    • 4+ years in software engineering or AI integration, with experience deploying AI models in production. 
    • Hands-on experience with dashboarding tools (e.g., Grafana, Kibana) and observability platforms (e.g., Prometheus, Datadog). 
    • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) for AI deployment. 
    • Technical Skills: 
    • Proficiency in Python; knowledge of JavaScript, C++, or Go is a plus for UI or system-level integration. 
    • Experience with containerization (Docker, Kubernetes) and API development (REST, GraphQL). 
    • Expertise in logging frameworks (e.g., ELK Stack, OpenTelemetry) and visualization tools (e.g., Plotly, Chart.js). 
    • AI-Specific Skills: 
    • Understanding of AI model metrics (e.g., F1 score, latency) and drift detection techniques (e.g., PSI, KS test). 
    • Knowledge of AI vulnerabilities (e.g., prompt injection, model inversion) and mitigation strategies (e.g., differential privacy, ART). 
    • Soft Skills: 
    • Strong problem-solving skills for debugging integration issues and optimizing dashboards. 
    • Excellent communication to translate technical metrics into business insights. 
    • Collaboration skills to work across data science, DevOps, and product teams.
    • *Must be eligible to obtain a Department of Homeland Security EOD clearance (Requirements 1. US Citizenship, 2. Favorable Background Investigation) 
  •  

    • Experience with LLM-specific tools like LangSmith or Helicone for monitoring generative AI applications. 

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