AI Cybersecurity Assessment Consultant

Job Description

AI Cybersecurity Assessment Consultant to help clients securely adopt, govern, and assess Artificial Intelligence (AI) solutions across enterprise environments. This role will focus on conducting AI security assessments, evaluating AI governance programs, identifying emerging AI risks, and advising clients on secure implementation of Generative AI, Large Language Models (LLMs), Agentic AI, and AI-powered business solutions.

Key Responsibilities

• Conduct AI cybersecurity assessments, governance reviews, and AI risk evaluations for enterprise clients.
• Evaluate Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and autonomous workflow solutions.
• Perform AI threat modeling activities and identify risks such as prompt injection, model misuse, data leakage, hallucinations, excessive tool permissions, model supply chain risks, and agent orchestration vulnerabilities.
• Assess AI systems against the NIST AI Risk Management Framework (AI RMF), NIST Cybersecurity Framework (CSF), NIST 800-53, NIST 800-171, and other relevant security standards.
• Develop AI governance frameworks, policies, standards, controls, and operating procedures.
• Evaluate cloud-based AI deployments and integrations across AWS, Azure, and hybrid environments.
• Assess AI development environments, model pipelines, APIs, orchestration layers, and Model Context Protocol (MCP) integrations.
• Review and advise on AI security architecture, data protection controls, identity management, logging, monitoring, and auditability requirements.
• Partner with clients to establish Human-in-the-Loop (HITL) governance controls and AI oversight processes.
• Deliver executive-level recommendations regarding AI governance, risk management, compliance, and secure adoption strategies.
• Facilitate workshops and advisory engagements with client stakeholders and leadership teams.
• Produce assessment reports, executive summaries, risk registers, remediation roadmaps, and governance recommendations.

Required Qualifications

• Bachelor's degree in Cybersecurity, Information Systems, Computer Science, Engineering, or related field. Equivalent experience will be considered.
• 7+ years of experience in cybersecurity, security consulting, security architecture, governance, risk, and compliance, or related disciplines.
• 3+ years of experience supporting AI, machine learning, or emerging technology security initiatives.
• Experience conducting cybersecurity assessments, security architecture reviews, or governance assessments.
• Strong understanding of AI security risks, adversarial AI threats, model governance, and secure AI deployment practices.
• Experience with NIST AI RMF and cybersecurity frameworks including NIST CSF, NIST 800-53, and NIST 800-171.
• Knowledge of AI assessment methodologies, control validation, and risk management practices.
• Experience creating policies, standards, governance controls, and executive-level recommendations.
• Strong written communication, presentation, and client-facing consulting skills.
• Ability to translate technical findings into business-focused recommendations.

Preferred Qualifications

• Experience with AWS AI and cloud-native AI services, including hands-on experience with AWS Kiro.
• Experience implementing, assessing, or securing Model Context Protocol (MCP) integrations.
• Experience integrating AI ecosystems with security and observability platforms such as Datadog.
• Experience leveraging and assessing AI platforms including Claude, OpenAI, Microsoft Copilot, Azure AI, Amazon Bedrock, or similar technologies.
• Experience with AI governance programs, AI Centers of Excellence (CoE), or responsible AI initiatives.
• Knowledge of Agentic AI architectures, orchestration frameworks, and autonomous workflows.
• Experience supporting regulated industries such as utilities, energy, financial services, healthcare, government, or defense.
• Cloud security experience within AWS, Azure, or Google Cloud Platform environments.
• Security certifications such as CISSP, CISM, CCSP, Security+, or equivalent.
• Experience developing AI risk registers, AI governance documentation, and AI compliance programs.

Technical Skills

• AI Security Assessments
• AI Governance & Responsible AI
• NIST AI Risk Management Framework (AI RMF)
• Generative AI Security
• Large Language Models (LLMs)
• AI security risks
• Retrieval-Augmented Generation (RAG)
• AI Threat Modeling
• Prompt Injection Mitigation
• Data Protection & Privacy
• Cloud Security
• AWS & Azure Security
• Security Architecture
• Governance, Risk & Compliance (GRC)
• Vulnerability Management
• MCP Integrations
• Datadog Observability & Monitoring