Senior AI Security Engineer
Tasks
- Assess and mitigate AI threat risks
- Build tamper evident audit logging
- Design IAM solutions for AI agent identities
- Develop secure execution environments for AI agents
- Enforce least privilege access for agent workloads
- Implement monitoring logging and detection
- Implement non human identity lifecycle controls
- Improve security posture across applications infrastructure and SDLC
- Propagate identity context for agent runs
- Secure AI ML systems end to end
- Secure CI CD pipelines with automated controls
Perks/Benefits
- N/A
Skills/Tech-stack
AWS IAM | Access Control | Access Management | Application Security | Azure IAM | CI/CD | Cloud Security | Credential Revocation | Credential rotation | Data leakage | Federation | Identity and Access Management | Identity and access | Infrastructure as Code | Kubernetes | Least Privilege | Model misuse | Network Segmentation | OAuth 2.0 | OpenID Connect | Policy-Based Access Control | Policy-based | Policy-based access | Prompt injection | SAML | SCIM | SPIFFE/SPIRE | SSO | Secrets management | Secure connectivity | Service accounts | Threat detection | Workload Identity | “as-code”
Education
N/A
Regions
Countries
States
Cities
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