Cyber Security Engineer - AI

About the Role

Our client is seeking a 100% remote Senior AI Security Engineer for a contract opportunity!!! Seeking a Senior AI Security Engineer to lead the technical security assessment, protection, monitoring, and risk mitigation of artificial intelligence technologies used throughout our enterprise. This individual will serve as a dedicated technical resource within Information Security, focusing on securely enabling the organization’s expanding use of AI, including generative AI, large language models (LLMs), AI-powered enterprise applications, AI agents, developer AI tools, and third-party AI services. The ideal candidate will combine strong hands-on cybersecurity engineering experience with practical knowledge of AI architectures, emerging AI attack techniques, enterprise security controls, and regulatory considerations. This position is intended to strengthen enterprise AI security, not primarily to develop AI models or implement business AI solutions. The successful candidate must be able to independently evaluate AI security risks, design practical security controls, work directly with IT and development teams, and support the secure adoption of AI technologies in a regulated corporate environment.

This position is open for only W2 candidates. No sponsorship available

6+ month contract to hire

Responsibilities

• Assess security risks associated with enterprise AI services, platforms, applications, and AI-enabled technologies.
• Establish and implement technical security requirements for the use of generative AI, LLMs, and enterprise AI applications.
• Evaluate potential risks involving sensitive information, customer records, intellectual property, credentials, and internal corporate data.
• Help identify and mitigate unauthorized AI usage and shadow AI.
• Assess third-party AI vendors and their security controls, data handling practices, retention settings, and integrations.
• Recommend practical technical safeguards that support business innovation while reducing enterprise risk.

Responsibilities

LLM and AI Agent Security

• Assess AI applications for prompt injection, sensitive information disclosure, insecure tool usage, excessive permissions, and other AI-specific vulnerabilities.
• Evaluate AI agents capable of interacting with enterprise systems, APIs, browsers, files, databases, and cloud resources.
• Implement or recommend controls that restrict AI systems to appropriately authorized data, tools, and functionality.
• Review security implications of model context protocols, tool integrations, plugins, connectors, and automated AI workflows.
• Conduct security assessments of retrieval-augmented generation (RAG) solutions, AI applications, and AI development environments.
• Establish security testing and validation procedures for AI-enabled systems.

Responsibilities

Security Architecture and Engineering

• Design and implement security controls for enterprise AI deployments.
• Work with IT, Cloud, Development, Infrastructure, and Information Security teams to securely integrate AI services into the environment.
• Evaluate identity, authentication, authorization, privileged access, and data access requirements for AI platforms.
• Implement or recommend logging, monitoring, alerting, and audit capabilities for AI activities.
• Assess AI-related integrations with existing cybersecurity technologies and enterprise identity platforms.
• Develop secure configuration standards, reference architectures, and implementation guidance for approved AI technologies.
• Support the investigation and remediation of AI-related security findings and incidents.

Responsibilities

Data Protection and AI Governance

• Partner with Information Security, Legal, Compliance, Privacy, and Risk Management to support enterprise AI governance requirements.
• Develop technical controls designed to prevent unauthorized disclosure of sensitive company, customer, or employee information.
• Evaluate AI vendor data retention, training usage, data residency, and access controls.
• Support AI risk assessments and documentation necessary for internal audit and regulatory requirements.
• Translate AI governance requirements into implementable technical security controls.
• Help ensure AI systems are deployed consistently with applicable financial services, insurance, privacy, and information security requirements.

Responsibilities

Threat Research and Continuous Improvement

• Monitor re…