AI Cyber/Risk Consultant

Job Description Serve as an early-stage AI security reviewer for new AI initiatives entering the organization Review AI use cases, architecture diagrams, integrations, and data flows to identify security risks Develop and execute AI security testing methodologies and validation procedures Perform adversarial testing against AI models, copilots, assistants, and agentic AI workflows Conduct prompt injection, jailbreak, policy bypass, and sensitive data exposure testing Evaluate AI guardrails and recommend improvements to security controls Assess risks associated with AI inputs, outputs, retrieved context, embeddings, and generated responses Partner with engineering, platform, architecture, governance, and privacy teams to secure AI deployments Define AI security requirements and control expectations for enterprise AI solutions Translate traditional DLP and data protection policies into AI-specific control frameworks Implement and recommend safeguards to prevent sensitive data leakage through AI systems Assess AI data retention, minimization, and privacy risks Support DSPM initiatives and improve visibility into sensitive data exposure through AI capabilities Establish monitoring strategies for AI abuse patterns, anomalous activity, suspicious prompts, and data exfiltration indicators Document risk assessments, security recommendations, mitigation plans, and executive-facing reports Support governance activities aligned to AI risk management and lifecycle frameworks Collaborate closely with Mike DeZenzo's team, Chad Mauer's engineering organization, and broader AI security stakeholders to protect emerging AI platforms and enterprise AI initiatives We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: /. Skills and Requirements 5+ years of experience in Cyber Security, Information Security, Security Architecture, or related security disciplines Experience testing AI guardrails and AI system security controls Strong adversarial testing experience including prompt injection, jailbreak testing, policy bypass attempts, and AI misuse scenarios Experience performing AI risk assessments and documenting findings, mitigations, and recommendations Strong understanding of enterprise AI architectures, data flows, model integrations, and agentic workflows Experience securing AI platforms such as Azure Foundry, AWS Bedrock, Microsoft Copilot Studio, and/or Anthropic Claude ecosystem Strong communication, stakeholder management, and executive-facing documentation skills CISSP or equivalent Cyber Security certification Understanding of AI/ML systems, architectures, governance, and operational patterns Experience reviewing AI use cases and translating business requirements into security controls Knowledge of AI-specific threats including prompt injection, data poisoning, inference attacks, model abuse, and data leakage risks Experience with MCP (Model Context Protocol) - highly preferred and a major differentiator Microsoft Copilot security experience Microsoft Foundry / Azure AI Studio experience Microsoft Purview experience Financial Services or Banking industry experience AI agent development, architecture review, or testing experience Experience with Anthropic / Claude implementations Knowledge of OWASP Top 10 for LLMs 2+ years researching AI/ML security threats and attack vectors Experience supporting AI Governance, Risk, and Compliance programs Experience with Data Security Posture Management (DSPM) initiatives Strong Python, PowerShell, or scripting experience Experience defining AI-focused DLP controls and data protection standards Experience assessing AI retention, privacy, and governance requirements #J-18808-Ljbffr Insight Global