We are seeking a Security Architect / AI Security AppSec Architect to assist in the strategic evaluation and secure implementation of an enterprise AI Agent Framework. As AI adoption accelerates across investment and research teams, this role will ensure that AI platforms and agent-based systems remain secure, resilient, and compliant.
This role combines high-level architectural oversight with hands-on engineering, focusing on evaluating emerging AI technologies, defining security controls, and establishing governance standards for AI agents built on modern cloud platforms.
Primary Responsibilities :
Technology Evaluation & Security Architecture
Evaluate new AI tools, frameworks, and LLM providers to assess their security posture for regulated environments
Design secure architectural patterns for AI agent integrations, ensuring data privacy and IP protection
Conduct AI-specific threat modeling (prompt injection, model inversion, data poisoning) and implement mitigations
Assess security capabilities of Azure AI platforms, Copilot agents, and Graph-based integrations against enterprise compliance standards
Evaluate Model Context Protocol (MCP) security best practices and design context isolation strategies
Participate in enterprise architecture security reviews for emerging technologies
Technical Implementation & Validation:
Develop hardening standards and configuration guidelines for AI platforms
Implement and validate integrations with Azure Key Vault, Entra ID, and Managed Identities
Establish security telemetry, monitoring, logging, and auditing for AI agents and autonomous workflows
Governance & Standards Development :
Define AI Agent Security Design Principles and architecture standards
Contribute to AI governance policies addressing risks of emerging AI technologies
Identify and close security gaps within CI/CD pipelines for AI deployments
Translate complex security architecture into actionable guidance for engineering teams
Required Qualifications :
8+ years of experience in Cloud Security Architecture with strong Azure platform expertise
Hands-on experience with Azure AI Services, Azure OpenAI, or similar AI platforms
Strong expertise with Microsoft Entra ID, Service Principals, and Managed Identities
Experience with Model Context Protocol (MCP) and context isolation strategies
Deep understanding of RAG architectures and vector database security
Experience implementing Zero Trust security models in enterprise cloud environments
Familiarity with OWASP Top 10 for LLMs and AI security risk mitigation
Nice to Have :
Experience with Infrastructure as Code (Terraform or Bicep)
Security automation and DevSecOps experience
Certifications such as Azure Security Engineer Associate, Azure AI Engineer Associate, CISSP, or CCSP
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