Specialist – Cloud Security & AI Security
Indexed description
JOB PURPOSE
Implement and operate cloud and AI security controls across Azure, Microsoft 365, hybrid environments and approved AI/ML and agentic AI platforms, with a strong focus on secure AI deployment, testing, guardrails, identity, data protection, monitoring and remediation.
PRIMARY RESPONSIBILITIES
- Perform security reviews for Azure OpenAI, Azure AI Foundry/Services, Azure Machine Learning, Copilot Studio and approved third-party AI platforms.
- Assess prompt injection, jailbreak, insecure output handling, excessive agency, tool abuse, data leakage and AI supply-chain risks.
- Validate secure RAG, content-safety controls, human approval gates, logging, rate limits and action boundaries.
- Maintain inventories of AI agents, owners, environments, permissions, connectors, data sources and risk status.
- Operate CSPM/CNAPP and workload-protection controls using Microsoft Defender for Cloud or equivalent tools.
- Review managed identities, service principals, APIs, Key Vault, private endpoints, network isolation and encryption controls.
- Support DevSecOps controls including IaC, dependency, secret and container scanning.
- Investigate cloud and AI security alerts, preserve evidence, support containment and track remediation.
- Maintain procedures, test cases, dashboards and technical documentation.
JOB SPECIFICATIONS
Technical Skills
- Azure and Microsoft 365 security; Defender for Cloud; CSPM/CNAPP.
- Azure OpenAI, AI Foundry/Services, secure RAG, agentic AI security and AI guardrails.
- IAM, managed identities, API security, private connectivity and DevSecOps.
- Working knowledge of NIST AI RMF and OWASP Top 10 for LLM Applications.
Certifications
- Preferred: AZ-500, SC-100 or AI-102.
- Preferred: CCSP, CCSK, CISSP, CISM or equivalent.
- Preferred: AI/ML security, OWASP LLM, Kubernetes security or DevSecOps training.
Minimum Work Experience
- 5+ years of cybersecurity experience, including hands-on cloud-security experience and practical exposure to AI/ML, GenAI or agentic AI security.
Education
- Bachelor’s degree in Cybersecurity, Information Security, Computer Science, IT, Engineering or an equivalent discipline.
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