AI Engineer- Cyber Security
Ptrglobal
Fort Worth, TX · Posted October 26, 2026
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Where Fort Worth, TX ranks
Where Fort Worth, TX placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #5Best cities for software and engineering jobs in the Southwest348 openings · of 33
- #6Cities with the most jobs that do not need a four-year degree in the Southwest111 jobs · of 38
- #8Best cities for pay after cost of living in Texas$112k · of 8
- #8Cities hosting the most business conferences in the Southwest7 conferences · of 16
- #10Best all-round cities for AI careers in the Southwest35 / 100 · of 15
- #11Best cities for logistics and transportation jobs62 openings · of 17
Rankings about security jobs
- Best cities for security jobs #1 San Francisco (316 openings)
- Best cities for security pay after cost of living #1 San Mateo ($241k)
- Most requested AI skills in security jobs #1 AI tools in daily work (10.8%)
- Employers with the most security jobs #1 Amazon (318 roles)
How AI is used in this kind of work
Among computer occupations, all other, AI is already used for a large share of the tasks. Measured exposure for computer occupations, all other: 31% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
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About the job
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 GCP).
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