Quick overview
Salary$60 - $65/hr
SeniorityMid Senior
Work modeHybrid
LocationFort Worth, TX, United States
AWSMLOpsGPTGoogle CloudPythonGenerative AIAzure
Job description
Job Title: AI Security Engineer
Job Location: Fort Worth, TX 76155
Job Duration: 12+ Months Contract
Interview: F2F required.
Job Description:
Job Summary:
We are seeking an AI Security Engineer to secure AI/ML and Generative AI platforms, applications, and workflows. The ideal candidate will identify and mitigate risks related to LLMs, AI models, data security, prompt injection, model abuse, and cloud-based AI deployments.
Ideal Candidate: A security professional with expertise in cybersecurity and Generative AI who can secure AI applications, manage AI-related risks, and enable safe adoption of AI technologies across the organization.
Key Responsibilities:
Required Qualifications:
Preferred Qualifications:
The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work. #LI-SM11
Job Location: Fort Worth, TX 76155
Job Duration: 12+ Months Contract
Interview: F2F required.
Job Description:
Job Summary:
We are seeking an AI Security Engineer to secure AI/ML and Generative AI platforms, applications, and workflows. The ideal candidate will identify and mitigate risks related to LLMs, AI models, data security, prompt injection, model abuse, and cloud-based AI deployments.
Ideal Candidate: A security professional with expertise in cybersecurity and Generative AI who can secure AI applications, manage AI-related risks, and enable safe adoption of AI technologies across the organization.
Key Responsibilities:
- Design and implement security controls for AI/ML and GenAI applications.
- Conduct threat modeling, vulnerability assessments, and security reviews of AI solutions.
- Protect AI systems against prompt injection, data leakage, model poisoning, and adversarial attacks.
- Secure AI/ML pipelines, APIs, cloud environments, and MLOps platforms.
- Collaborate with engineering, data science, and security teams to embed security throughout the AI lifecycle.
- Develop AI security standards, governance frameworks, and monitoring capabilities.
Required Qualifications:
- Bachelor's degree in computer science, Cybersecurity, or related field.
- 5+ years of Cybersecurity Engineering or Application Security experience.
- Experience with Generative AI, LLMs (OpenAI GPT, Gemini, Claude, Llama), and AI security concepts.
- Strong knowledge of Cloud Security (Azure, AWS, or Google Cloud Platform).
- Proficiency in Python and security automation.
- Experience with DevSecOps, threat modeling, and vulnerability management.
Preferred Qualifications:
- AI/ML security experience.
- CISSP, CCSP, Azure Security, or AI-related certifications.
- Knowledge of MLOps, Responsible AI, and AI Governance frameworks.
The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work. #LI-SM11
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