What are the responsibilities and job description for the AI Security Engineer - Identity and Access position at Masterapp Labs?
Job Details
Job Title: AI Security Engineer - Identity & Access Managment
Location: Remote / Hybrid (Atlanta)
Employment Type: Contract (6 months with possible extension)
Job Description
We are seeking an AI Security Engineer to develop and optimize AI-driven security automation, authentication monitoring, and anomaly detection for the Statewide Identity & Access Management Portal. This role will collaborate closely with the DevOps, Security, and IT Teams to implement AI-based fraud prevention, performance optimization, and automated user support.
Key Responsibilities
- Develop AI-driven authentication security models for Entra ID (Microsoft Identity Platform) to detect anomalies, unauthorized access, and fraudulent login attempts.
- Integrate AI-powered monitoring tools to predict system failures, optimize performance, and reduce authentication latency.
- Create and refine AI chatbots & virtual assistants for real-time user support and troubleshooting.
- Implement machine learning-based threat detection and security event logging using Azure Sentinel, Microsoft Defender, and AI-based log analysis tools.
- Collaborate with DevOps engineers to enhance self-healing automation for security vulnerabilities.
- Support AI-driven adaptive authentication mechanisms that dynamically adjust security levels based on user behavior.
- Continuously train AI models using real-time login patterns, security alerts, and feedback from security analysts.
- Work with compliance teams to ensure AI-driven security measures adhere to FERPA, COPPA, and other regulatory standards.
Required Qualifications
- 3 years of experience in AI/ML model development with security or identity management applications.
- Proficiency in Python, TensorFlow, PyTorch, or similar AI/ML frameworks.
- Strong knowledge of cloud-based AI tools, preferably within Azure AI, AWS AI, or Google AI/ML services.
- Experience in anomaly detection, fraud prevention, and security threat monitoring using AI.
- Familiarity with Identity and Access Management (IAM) protocols such as OAuth, SAML, and Entra ID B2B/B2C.
- Hands-on experience with security monitoring tools such as Azure Sentinel, Splunk, or Microsoft Defender.
- Experience with DevOps methodologies and automation pipelines using AI models.
- Strong problem-solving skills, ability to work independently, and collaborate with cross-functional teams.
Preferred: Experience working with K-12 or government identity management systems.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
