Job Summary:
AI Security Architect
- Define and validate secure architectures for AI agents and GenAI platforms in a regulated investment environment.
- Evaluate emerging AI tools LLM platforms and frameworks for security and compliance risks.
- Design secure architectures to ensure data privacy IP protection and isolation for AI agents.
- Conduct AI-specific threat modeling including prompt injection data poisoning and model inversion.
- Assess security controls for Azure AI Foundry Azure OpenAI M365 Copilot Studio and Microsoft Graph API.
- Establish Model Context Protocol (MCP) security patterns and context isolation strategies.
- Develop and maintain AI security standards hardening guidelines and governance principles.
- Implement identity secrets and integration patterns using Entra ID Managed Identities and Azure Key Vault.
- Enable robust logging monitoring and auditability for AI agent activities.
- Support secure AI deployments within CI/CD pipelines and participate in enterprise architecture reviews.
- Apply hands-on Azure engineering and governance expertise in a hybrid work setting (local applicants only 3 days onsite).
- No sponsorship available for this role.
Job Summary: AI Security Architect - Define and validate secure architectures for AI agents and GenAI platforms in a regulated investment environment. - Evaluate emerging AI tools LLM platforms and frameworks for security and compliance risks. - Design secure architectures to ensure data privac...
Job Summary:
AI Security Architect
- Define and validate secure architectures for AI agents and GenAI platforms in a regulated investment environment.
- Evaluate emerging AI tools LLM platforms and frameworks for security and compliance risks.
- Design secure architectures to ensure data privacy IP protection and isolation for AI agents.
- Conduct AI-specific threat modeling including prompt injection data poisoning and model inversion.
- Assess security controls for Azure AI Foundry Azure OpenAI M365 Copilot Studio and Microsoft Graph API.
- Establish Model Context Protocol (MCP) security patterns and context isolation strategies.
- Develop and maintain AI security standards hardening guidelines and governance principles.
- Implement identity secrets and integration patterns using Entra ID Managed Identities and Azure Key Vault.
- Enable robust logging monitoring and auditability for AI agent activities.
- Support secure AI deployments within CI/CD pipelines and participate in enterprise architecture reviews.
- Apply hands-on Azure engineering and governance expertise in a hybrid work setting (local applicants only 3 days onsite).
- No sponsorship available for this role.
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