AI Security Engineer

Fort Worth, TX, US • Posted 3 days ago • Updated 1 hour ago
Full Time
On-site
USD $60.00 - 65.00 per hour
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Job Details

Skills

  • Workflow
  • Data Security
  • Management
  • SAFE
  • Security Controls
  • Cloud Computing
  • Collaboration
  • Data Science
  • Computer Science
  • Cyber Security
  • Software Security
  • Generative Artificial Intelligence (AI)
  • Cloud Security
  • Amazon Web Services
  • Google Cloud Platform
  • Google Cloud
  • Python
  • DevSecOps
  • Threat Modeling
  • Vulnerability Management
  • Machine Learning (ML)
  • CISSP
  • Cisco Certifications
  • Microsoft Azure
  • Machine Learning Operations (ML Ops)
  • Artificial Intelligence
  • Training

Summary

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:
  • 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.
Pay Range: $60 - $65

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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: ptrtx
  • Position Id: 180791
  • Posted 3 days ago

Company Info

About PTR Global

Pinnacle Group is a leading provider of information technology and workforce solutions. Pinnacle Group includes Pinnacle Technical Resources, Inc., its flagship information technology staffing and consulting services provider; Pinnacle MSP, a managed services provider; Pinnacle Payrolling, a payrolling and independent contractor compliance provider; Pinnacle Canada, which provides staffing, MSP and payrolling services in Canada.

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