Junior AI Engineer

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

• 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