AI Security Specialist

1 week ago

Melbourne, Victoria, Australia beBeeSecurity Full time $160,000 - $180,000
Artificial Intelligence Security Architect Position

We are seeking a highly skilled and motivated AI Security Architect to join our team. In this role, you will design and develop secure artificial intelligence systems, models, and data pipelines to detect and prevent cyber threats.

  • Design and implement scalable Generative AI features, including agentic workflows, conversational AI, and autonomous agents to enhance security capabilities.
  • Develop and deploy machine learning models for threat detection, anomaly detection, malware classification, and behavioral analysis to identify potential risks.
  • Apply best practices in AI security, including mitigation of hallucinations, prompt injection, and bias to ensure secure AI-driven solutions.
  • Identify and mitigate risks related to adversarial machine learning, model inversion, data poisoning, and prompt injection to protect against cyber threats.
  • Analyze large-scale security datasets to identify patterns and build predictive models to improve detection accuracy.
  • Research and implement AI and Machine Learning techniques to improve detection accuracy and reduce false positives.
  • Design and implement security controls for AI/ML systems, including model training, inference, and data pipelines to ensure compliance with security regulations.
  • Collaborate with security analysts and incident response teams to integrate AI tools into existing security workflows.
  • Collaborate with data scientists, ML engineers, and DevOps teams to integrate security into the AI/ML lifecycle to ensure secure AI development.
  • Build automation pipelines for data preprocessing, model training, evaluation, and deployment to streamline AI development processes.
  • Monitor model performance and retrain models as needed to adapt to evolving threats and ensure continuous improvement.
  • Stay current with emerging threats, vulnerabilities, and research in AI security and adversarial machine learning to stay ahead of potential risks.

Required Skills:

  • Experience in full AI project lifecycle, from research and prototyping to deployment in production environments.
  • Familiarity with Agile development methodologies and cloud-based infrastructure (e.g., AWS, Azure, GCP).
  • Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, or similar.
  • Experience with AI governance and data engineering to ensure secure AI development.
  • Strong understanding of cybersecurity principles, threat landscapes, and common attack vectors.
  • Experience with threat modeling and securing cloud-based AI infrastructure to protect against cyber threats.

About Us:

We believe that information technology innovation has the power to transform industries and governments around the world. We strive to lead this transformation through technical innovation and implementation, creating value for our clients and enhancing the communities in which we work.

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