CBTS

Cyber Defense Engineer , Artificial Intelligence (Only W2)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Cyber Defense Engineer in Irving, TX, with a contract length of unspecified duration, offering $50 - $70/hour on W2. Key skills include 5+ years in security engineering, AI application security, and experience with cloud platforms and Kubernetes.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
560
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πŸ—“οΈ - Date
July 29, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
On-site
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Irving, TX
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🧠 - Skills detailed
#Cybersecurity #Leadership #API (Application Programming Interface) #Scala #GCP (Google Cloud Platform) #Kubernetes #Security #Computer Science #Strategy #"ETL (Extract #Transform #Load)" #Microsoft Azure #ML (Machine Learning) #Programming #Azure #AWS (Amazon Web Services) #Python #AI (Artificial Intelligence) #Cloud
Role description
Job Title: Senior Security Engineer, Artificial Intelligence Location: Irving, TX - Onsite Pay Rate: $50 - 70/hour on W2, client will not consider C2C Required Qualifications β€’ Bachelor’s degree in Cybersecurity, Artificial Intelligence, Computer Science, or related highly technical field β€’ 5+ years in security engineering, application security, cloud security, or detection engineering β€’ Experience securing LLM-based applications, RAG systems, or agentic workflows β€’ Familiarity with adversarial ML concepts, such as prompt injection, model inversion, and model extraction β€’ Experience with one or more cloud platforms, AWS, Azure, or GCP β€’ Experience with Kubernetes and container security β€’ Hands-on experience with at least one programming language, Python preferred β€’ Strong understanding of AI, LLMs, API security, identity, secrets management, and cloud controls β€’ Experience building security controls into CI and CD pipelines β€’ Proven ability to lead cross-functional security work with engineering and product teams β€’ Effectively communicate complex technical concepts to both technical and non-technical stakeholders β€’ Effectively communicate to leadership and know when to escalate with proactive, clear, data-driven insight, highlighting risks, roadblocks, and solutions β€’ Proven leadership capabilities with the ability to influence and drive change Preferred Qualifications β€’ Master’s degree in Cybersecurity, Artificial Intelligence, Computer Science, or related highly technical field β€’ AI/ML certifications (e.g., Microsoft Azure AI Engineer, AWS ML Specialty, GIAC Machine Learning Engineer, ISC2 Building AI Strategy) β€’ Experience with security telemetry and detections in SIEM or EDR platforms