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.

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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, Power Shell, or scripting experience

Experience defining AI-focused DLP controls and data protection standards

Experience assessing AI retention, privacy, and governance requirements