AI/ML Security Architect and Engineer
Core
Design, develop, and deploy AI-driven solutions to detect, prevent, and respond to cyber threats while securing AI/ML systems, models, and data pipelines against adversarial threats.
Role type
Senior IC AI/ML Security Architect and Engineer
Builds
Scalable Generative AI features, agentic workflows, conversational AI, autonomous agents, and secure AI/ML systems
Domain
Cybersecurity, Artificial Intelligence, Machine Learning, Cloud Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Python, TensorFlow, PyTorch, Scikit-learn, Ansible, Red Hat OpenShift, Kubernetes, CI/CD Pipelines, MLflow, Kubeflow, SageMaker, LangChain, OpenAI APIs, RAG, vector databases, parquet, avro, orc, threat modeling, cloud security (AWS, Azure, GCP), SIEM, EDR, IDS/IPS, data engineering, AI governance
Preferred skills
Experience with secure MLOps practices, building automation solutions with AI/ML, data privacy regulations (GDPR, HIPAA), AI ethics, fairness, and explainability
Technologies
TensorFlow, PyTorch, Scikit-learn, Ansible, Red Hat OpenShift, Kubernetes, MLflow, Kubeflow, SageMaker, LangChain, OpenAI APIs, AWS, Azure, GCP
Responsibilities
Architect and implement scalable Generative AI features including agentic workflows and autonomous agents; Develop and deploy machine learning models for threat detection, anomaly detection, and malware classification; Identify and mitigate risks related to adversarial machine learning, model inversion, and data poisoning; Analyse large-scale security datasets to identify patterns and build predictive models; Design and implement security controls for AI/ML systems including model training, inference, and data pipelines; Collaborate with security analysts and incident response teams to integrate AI tools into existing workflows
Seniority
Senior, hands-on IC