AI Cybersecurity Engineer

1 week ago


Arlington, Virginia, United States Sev1Tech LLC Full time

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
    , ).
  • 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 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 growt

h.

Ready to take the next step? Apply directly through our websit
e: Sev1Tech Care
ers and use the hasht
ag #joinSev1T
ech to connect with us on social med

ia

For any additional questions or to submit referrals, feel free to reach out
to
.

com.



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