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Artificial Intelligence Engineer Trainee Jobs in Virginia

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 Trainee information

What does an artificial intelligence engineer trainee do?

An Artificial Intelligence Engineer Trainee learns and assists with designing, developing, and deploying AI models and systems under the supervision of experienced engineers. Their responsibilities often include data preprocessing, building and testing machine learning algorithms, and supporting the integration of AI solutions into existing products or services. Trainees may also work on tasks related to natural language processing, computer vision, or predictive analytics, and are expected to keep up-to-date with the latest AI research and technologies. This role is ideal for individuals who are starting their careers in AI and want hands-on experience while enhancing their technical and problem-solving skills.

What are the key skills and qualifications needed to thrive as an artificial intelligence engineer trainee?

To thrive as an Artificial Intelligence Engineer Trainee, a solid background in computer science, mathematics, and programming languages like Python is essential, often supported by a relevant degree or coursework. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and version control systems is typically expected. Strong analytical thinking, problem-solving ability, and willingness to learn new technologies help trainees stand out in this evolving field. These skills and qualities are crucial for effectively developing, testing, and deploying AI models in real-world applications.

What are some common challenges faced by artificial intelligence engineer trainees during their first projects?

As an Artificial Intelligence Engineer Trainee, you may encounter challenges such as understanding complex datasets, managing data preprocessing, and bridging the gap between theoretical knowledge and real-world applications. Collaborating with cross-functional teams, learning to select appropriate machine learning models, and debugging code are also common hurdles. However, these challenges offer valuable learning opportunities and are typically addressed with mentorship, hands-on practice, and access to collaborative team resources.

What are the most commonly searched types of Artificial Intelligence Engineer jobs in Virginia?

The most popular types of Artificial Intelligence Engineer jobs in Virginia are:

What are popular job titles related to Artificial Intelligence Engineer Trainee jobs in Virginia?

For Artificial Intelligence Engineer Trainee jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Engineer Trainee jobs in Virginia look for?

The top searched job categories for Artificial Intelligence Engineer Trainee jobs in Virginia are:

What cities in Virginia are hiring for Artificial Intelligence Engineer Trainee jobs?

Cities in Virginia with the most Artificial Intelligence Engineer Trainee job openings:

Artificial Intelligence Engineer Trainee jobs near you
Infographic showing various Artificial Intelligence Engineer Trainee job openings in Virginia as of August 2026, with employment types broken down into 86% Full Time, 9% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Artificial Intelligence Cybersecurity Engineer

Entarian

Arlington, VA • On-site

Full-time

Re-posted 14 days ago

Job description

Overview/ Job Responsibilities
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.

Minimum Qualifications
    • 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)

Desired Qualifications
    • Experience with LLM-specific tools like LangSmith or Helicone for monitoring generative AI applications.
    • Familiarity with compliance frameworks (e.g., NIST AI RMF, OWASP AI Security Top 10).
    • Engagement with AI/ML communities, such as X platform discussions on #AISecurity or #MLOps.

About Us
Formed through the strategic union of Sev1Tech and ERT, Entarian is a premier provider of mission-critical engineering and technology solutions. Founded on a legacy of excellence dating back to 1993, Entarian is a product of an evolved and fully diversified engineering and federal technology leader. From deep space to defense and civilian missions, Entarian delivers secure, mission-aligned digital solutions that drive national resilience and operational effectiveness. We don't just support modernization; we define it.
Join the Mission and Start your Career Journey: Apply Directly via our Careers Portal Connect, Referrals & Inquiries? Email the team: careers@entarian.com
Entarian is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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