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AI Security Architect - Intone Networks
Software Engineer
Lead the design and implementation of secure AI/ML solutions, protecting cloud-native applications, APIs, and generative models across AWS, Azure, and GCP environments.
About the role
Key Responsibilities
- Architect and enforce security controls for AI/ML and generative AI systems, including RAG pipelines, vector databases, and model endpoints.
- Secure cloud-native applications and APIs, applying IAM, encryption, secrets management, and monitoring across AWS, Azure, or GCP.
- Conduct threat modeling, risk assessments, and secure SDLC practices for AI-driven products.
- Identify and mitigate AI security risks such as prompt injection, data leakage, model theft, and poisoning.
- Collaborate with cross‑functional teams to embed security into product roadmaps and stakeholder communications.
Requirements
- 8+ years of experience in Security Architecture or Security Engineering.
- Deep knowledge of AI/ML and generative AI architectures.
- Hands‑on experience securing cloud-native applications and APIs.
- Proficiency in threat modeling, secure SDLC, and application security best practices.
- Strong communication and stakeholder management skills.