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AI Engineer - Ecosystem
AI Engineer
Design and implement AI-driven solutions that secure and streamline ecosystem APIs, focusing on access management, authentication, authorization, and comprehensive audit logging using Python and modern integration patterns.
About the role
Key Responsibilities
- Develop AI-powered services that enforce fine‑grained access control and authentication across internal and external APIs.
- Design and maintain audit‑logging pipelines to capture, analyze, and retain security events for compliance and incident response.
- Integrate machine‑learning models into existing ecosystem components to detect anomalous behavior and automate authorization decisions.
- Collaborate with cross‑functional teams to define security policies, data schemas, and integration standards.
- Continuously evaluate and improve the performance, scalability, and reliability of AI‑enabled security workflows.
Requirements
- Strong proficiency in Python and experience building production‑grade API integrations.
- Deep understanding of access management concepts, authentication protocols (OAuth, SAML, OpenID Connect) and authorization frameworks (RBAC, ABAC).
- Hands‑on experience with audit‑logging systems, log aggregation, and security analytics.
- Familiarity with machine‑learning techniques for anomaly detection and automated decision making.
- Ability to work independently in a fast‑paced environment and communicate complex technical ideas clearly.