Senior Engineer, IAM with designing and architecturing AI/ML systems

Lead the design, development, and operationalization of AI/ML systems to enhance identity and access management (IAM) security, including anomaly detection and automation of IAM, PAM, and Secrets Management controls.

Architect and implement end-to-end machine learning pipelines and deploy models at scale within cloud environments (Azure, AWS, GCP) to support enterprise security initiatives.

Collaborate cross-functionally with Cybersecurity and Engineering teams, drive ML adoption within IAM workflows, and mentor junior engineers on applied AI standards.

Bachelor's degree in Cybersecurity, Computer Science, Data Science, or related field (Master’s preferred).

7+ years of software engineering experience with at least 4 years focused on designing and architecting AI/ML systems; cybersecurity experience preferred.

Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn), experience with cloud-based ML deployments, data pipelines, APIs, and distributed systems.

Broad knowledge of IAM capabilities including identity stores, authentication/authorization, privileged access management, Zero Trust principles, and experience with MLOps best practices.

Experienced in leading AI/ML system design specifically for identity security in large-scale, global enterprises, with accountability for measurable security outcomes.

Capable of autonomous technical leadership with proven skills in collaborating across cybersecurity, AI, and engineering teams to drive adoption and integration of ML solutions.

Demonstrates expertise balancing AI model accuracy, scalability, explainability, and operational reliability within complex, cloud-native distributed environments.