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Artificial Intelligence Cybersecurity Engineer
Artificial Intelligence Cybersecurity EngineerSev1Tech LLC • Arlington, VA, US
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Artificial Intelligence Cybersecurity Engineer

Artificial Intelligence Cybersecurity Engineer

Sev1Tech LLC • Arlington, VA, US
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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.

    • 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 Sev1Tech LLC

    Welcome to Sev1Tech! Founded in 2010, we are proud to be a leading provider of IT modernization, engineering, and program management solutions. Our commitment is to deliver exceptional program and IT support services that empower critical missions for both Federal and Commercial clients.

    At Sev1Tech, our mission is clear : Build better companies. Enable better government. Protect our nation. Build better humans across the country. We believe that through innovation and dedication, we can make a significant impact on the communities we serve.

    Join the Sev1Tech family, where your potential for greatness is limitless! Here, you will not only achieve remarkable accomplishments but also enjoy a fulfilling and rewarding career progression. We invite you to explore opportunities with us and become part of a team that values your contributions and growth.

    Ready to take the next step? Apply directly through our website : Sev1Tech Careers and use the hashtag

    joinSev1Tech

    to connect with us on social media!

    For any additional questions or to submit referrals, feel free to reach out torecruiting@sev1tech.com.

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    Artificial Intelligence Engineer • Arlington, VA, US