About the role

AI Security Infrastructure Engineer at TD specializing in security for Generative AI and LLM platforms. Engaging in advanced security solutions and threat modeling to safeguard AI applications.

Responsibilities

Drive forward-looking security strategy and engineering solutions for Generative AI and LLM platforms
Researching, evaluating, and conducting proof-of-concepts for new security technologies and protocols
Partner closely with AI Development teams to provide essential infrastructure security expertise
Support threat modeling exercises for new AI applications and pipelines
Define and implement security designs for Identity and Access Management (IAM)
Design and PoC the secure storage, injection, and rotation of confidential data
Collaborate with DevOps, Governance, Vulnerability Management, and Platform Engineering partners

7+ years of progressive experience in Cybersecurity, Cloud Security Engineering, Application Security or AI Security and Automation
2-3+years machine learning / A.I.
Relevant professional certifications (e.g., Azure Security Engineer Associate, GCP Professional Cloud Security Engineer, CISSP, CCSP) are nice to have
Hands-on experience securing platforms and services in Microsoft Azure and Google Cloud Platform (GCP)
In-depth knowledge of Identity and Access Management (IAM) concepts
Implementation experience with OAuth 2.0/OIDC and modern token-based authentication systems
Solid background in designing and testing the security of REST APIs and associated middleware
Practical experience designing or implementing solutions for secure secret storage and retrieval
Ability to script in Python, Go PowerShell, or similar languages