

CBTS
Cyber Defense Engineer , Artificial Intelligence (Only W2)
β - 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.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
560
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ποΈ - Date
July 29, 2026
π - Duration
Unknown
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ποΈ - Location
On-site
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π - Contract
W2 Contractor
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π - Security
Unknown
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π - Location detailed
Irving, TX
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π§ - 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’ Bachelorβs 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’ Masterβs 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
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’ Bachelorβs 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’ Masterβs 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





