AI Security Infrastructure Engineer focused on enhancing security strategies for Generative AI and LLM platforms. Partnering with AI Development to ensure robust infrastructure security practices.
Responsibilities
Drive security strategy and engineering solutions for Generative AI and LLM platforms.
Act as a key technical leader, enhancing infrastructure security.
Research, evaluate, and conduct proof-of-concepts for new security technologies.
Partner with AI Development teams for infrastructure security expertise.
Collaborate with DevOps to translate successful security PoCs into production-ready solutions.
Requirements
7 + years of progressive experience in Cybersecurity, Cloud Security Engineering, or Application Security.
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.
Solid background in designing and testing the security of REST APIs.
Practical experience designing or implementing solutions for secure secret storage and retrieval.
Ability to script in Python, Go PowerShell, or similar languages.
Strong understanding of the AI/ML development lifecycle and the unique security risks associated with Generative AI.
Familiarity with the security implications of emerging agent collaboration protocols.
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