Senior Cyber Security IAM AI Engineer
Core
Design, develop, and implement AI/ML solutions to enhance Identity and Access Management (IAM) capabilities including anomaly detection, access risk scoring, and automated access reviews.
Role type
Senior Cyber Security AI Engineer
Builds
AI-enabled IAM solutions for identity governance, access certification, and privileged access monitoring
Domain
Cybersecurity / Identity and Access Management (IAM)
Deliverable
production ML models
Required skills
Machine learning, deep learning, statistical modeling, IAM domain expertise, large-scale dataset analysis, AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, XGBoost, LangChain), data platforms (SQL, Spark, Databricks, Snowflake, BigQuery), cloud platforms (Azure, AWS, Google Cloud), cybersecurity principles, access control models, enterprise risk management
Preferred skills
Generative AI / Large Language Models for IAM, secure AI system deployment, secure coding standards, ethical hacking, AI governance frameworks (NIST AI RMF, EU AI Act)
Technologies
TensorFlow, PyTorch, Scikit-learn, XGBoost, LangChain, SQL, Spark, Databricks, Snowflake, BigQuery, Azure, AWS, Google Cloud
Responsibilities
Design and develop AI/ML models for access risk scoring and identity analytics; Apply AI techniques to improve identity lifecycle management and access provisioning; Integrate AI solutions with IAM platforms (IGA, PAM); Automate manual processes using AI and workflow automation; Design and implement data models and feature engineering approaches; Partner with security architecture teams to align AI solutions with enterprise standards; Monitor model performance, accuracy, drift, and operational effectiveness; Create technical documentation and operational runbooks
Seniority
Senior, hands-on IC