Senior Cyber Security IAM AI Engineer

• Design and develop AI/ML models to support Identity and Access Management (IAM) domain use cases such as access risk scoring, identity analytics, anomalous behavior detection, and access recommendation engines.
• Apply AI techniques to improve identity lifecycle management, access provisioning, deprovisioning, access reviews, and certification processes.
• Integrate AI solutions with IAM platforms such as IGA, PAM and authentication solutions
• Collaborate with IAM engineering teams to automate manual processes using AI, machine learning, natural language processing, and workflow automation.
• Design and implement data models, feature engineering approaches, and model evaluation methods for IAM-related use cases.
• Partner with security architecture teams to ensure AI-enabled IAM solutions align with enterprise security standards.
• Monitor model performance, accuracy, drift, and operational effectiveness.
• Support explainability, auditability, and governance of AI-driven access decisions.
• Create technical documentation, design diagrams, implementation plans, and operational runbooks.
• Stay current with emerging AI, cybersecurity, and IAM technologies and recommend improvements.

• Overall - At least 12+ years of experience in performing security engineering and assessments of complex systems with AI / ML / Data Science capabilities and services
• Hands-on experience with machine learning, deep learning, or statistical modeling.
• Experience working with large-scale datasets, including authentication logs, access logs, entitlement data, user attributes, and audit data.
• Experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, XGBoost, LangChain, or similar tools.
• Experience with data platforms and tools such as SQL, Spark, Databricks, Snowflake, BigQuery, or similar technologies.
• Familiarity with cloud platforms such as Azure, AWS, or Google Cloud.
• Understanding of cybersecurity principles, access control models, and enterprise risk management.
• Ability to translate business and security requirements into technical AI solutions.
• Strong analytical, problem-solving, and communication skills
• Flexible to provide coverage in US morning hours on a need-basis, and as required.

• Bachelor's or master's degree in computer science, mathematics, information systems, engineering, or cybersecurity. 
• Strong understanding of Identity and Access Management IAM domain
• Experience designing, developing, and deploying secure AI systems.
• Training in secure coding standards and best practices for AI-related projects. 
• Knowledge of ethical hacking techniques. 
• Ability to develop security protocols and policies. 
• Excellent communication, problem-solving, and analytical skills. 
• Ability to work independently and as part of a team.

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