AI Security Engineer

AI Security Engineer

HIGHLIGHTS

Location: 100% Remote (U.S.)
Position Type: Contract-to-Hire (6-Month Conversion)
Compensation: Competitive Based on Experience

Position Overview

Our client is seeking an experienced AI Security Engineer to build and mature its enterprise Artificial Intelligence security program. This is a newly created highly visible role partnering with executive cybersecurity leadership to establish AI security architecture governance risk management and technical controls that enable the safe and responsible adoption of AI technologies across the enterprise.

This role offers the opportunity to shape the organizations long-term AI security strategy by securing Generative AI solutions Large Language Models (LLMs) Machine Learning (ML) environments AI integrations cloud platforms and AI-enabled business processes.

Key Responsibilities

• Develop and maintain the enterprise AI Security Reference Architecture and security standards.
• Establish AI governance risk management practices security guardrails and best practices for enterprise AI initiatives.
• Secure AI applications AI integrations AI-enabled business processes Machine Learning pipelines APIs and cloud-based AI services.
• Perform AI threat modeling and translate identified risks into practical security controls.
• Protect enterprise AI environments against Prompt Injection data leakage model abuse model exfiltration supply chain compromise unauthorized AI usage and other emerging AI threats.
• Design and implement Data Loss Prevention (DLP) controls to protect AI prompts responses datasets logs and model interactions.
• Secure Retrieval Augmented Generation (RAG) implementations AI model endpoints and enterprise AI workloads.
• Develop AI security testing capabilities including Prompt Injection testing adversarial testing model behavior evaluation and AI security validation.
• Define AI logging monitoring detection use cases and incident response playbooks for AI-related threats and security events.
• Conduct security assessments of AI vendors cloud AI services and third-party AI technologies.
• Partner with Engineering Cloud Identity & Access Management (IAM) Governance Risk & Compliance (GRC) Legal and Security Operations teams to drive secure AI adoption.
• Serve as a trusted advisor to technical teams and executive leadership on AI security strategy governance and emerging threats.

Required Qualifications

• 7 years of experience in Cybersecurity Security Engineering or Security Architecture.
• 3 years securing cloud platforms cloud-native applications APIs and CI/CD environments.
• Demonstrated hands-on experience implementing security for enterprise AI environmentsnot simply using AI tools.
• Strong understanding of Artificial Intelligence (AI) Machine Learning (ML) Large Language Models (LLMs) AI Governance AI Risk Management and Cloud Security.
• Experience securing enterprise AI deployments against Prompt Injection data leakage model security risks and other AI-specific attack vectors.
• Experience with threat modeling security architecture security monitoring detection engineering and incident response.

• Ability to communicate complex technical concepts effectively with both engineering teams and executive leadership.

Preferred Experience

Experience securing or implementing enterprise AI technologies such as:

• Microsoft Copilot
• Anthropic Claude
• Grok
• Google Vertex AI
• OpenAI / ChatGPT Enterprise
• Azure AI
• AWS Bedrock
• Similar enterprise AI platforms

Experience with the following is highly desirable:

• AI Security Architecture
• AI Governance Programs
• Enterprise AI Deployments
• Machine Learning Pipelines
• AI Model Security
• Prompt Engineering and Prompt Injection Mitigation
• Retrieval Augmented Generation (RAG)
• Data Loss Prevention (DLP)

Preferred Certifications

• CISSP
• CCSP
• GIAC
• Equivalent cybersecurity certifications

Candidates actively pursuing certifications are encouraged to apply.

Desired Technical Skills & Experience

Successful candidates will possess experience with many of the following technologies and concepts:

• Artificial Intelligence (AI)
• Machine Learning (ML)
• AI Pipelines
• Large Language Models (LLMs)
• AI Models
• Microsoft Copilot
• Anthropic Claude
• Grok
• Prompt Injection
• Retrieval Augmented Generation (RAG)
• Data Loss Prevention (DLP)
• AI Governance
• AI Risk Management
• Cloud Security
• APIs
• CI/CD
• Identity & Access Management (IAM)
• Threat Modeling
• Security Architecture
• Detection Engineering
• Incident Response

Why Join

• 100% Remote opportunity
• Newly created highly visible strategic position
• Partner directly with executive cybersecurity leadership
• Build and mature an enterprise AI security program from the ground up
• Influence the secure adoption of next-generation AI technologies across the enterprise
• Play a foundational role in shaping the organizations long-term AI security strategy

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