Security Engineering Vulnerability Protect Engineer
Contract Corp To Corp
Contract Independent
Contract W2
12 Months
No Travel Required
Remote
Depends on Experience
TEKEngineersInc
Fitment
Dice Job Match Score™
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Job Details
Skills
- Vulnerability Management
- Palo Alto
- OWASP
- Machine Learning (ML)
- IBM QRadar
- Extraction
- GSEC
- Good Clinical Practice
- Google Cloud Platform
- Inventory
- CISSP
- Cloud Security
- Banking
- Cyber Security
- Dashboard
- Data Science
- Amazon SageMaker
- Amazon Web Services
- Artificial Intelligence
- Collaboration
- Lifecycle Management
- Machine Learning Operations (ML Ops)
- Microsoft
- Microsoft Azure
- Partnership
- Python
- ROOT
- Security Engineering
- Reporting
- Risk Management Framework
- SIEM
- Security Architecture
- Splunk
- Supply Chain Management
- Threat Modeling
- Vertex
Summary
Job Title: Security Engineering Vulnerability Protect Engineer
Location: Remote
Duration: Long term
End Client : Banking Domain
Responsibilities
Security Engineering Vulnerability Protect Engineer
- About the Role We're seeking an experienced Security Engineering Vulnerability Protect Engineer to lead the deployment, administration, and strategic use of the HiddenLayer platform in defense of our AI/ML systems. This role sits at the intersection of cybersecurity engineering and applied machine learning, focused on protecting models and LLM-based applications from adversarial attacks, data poisoning, model theft, and other emerging AI-specific threats. You'll partner closely with Data Science, MLOps, and broader security teams to build a resilient, well-governed AI security posture across the organization. Responsibilities Platform Operations
- Deploy, configure, and administer the HiddenLayer platform
- Integrate HiddenLayer with enterprise SIEM, SOAR, EDR, vulnerability management, and cloud security platforms
- Create detection rules, dashboards, and executive reporting on AI security posture
AI/ML Threat Protection
- Protect AI models against adversarial attacks, model theft, prompt injection, model poisoning, and unauthorized inference
- Develop monitoring and detection strategies for production AI workloads
- Conduct AI threat modeling exercises
- Respond to AI-related security incidents and perform root cause analysis
Security Assessment & Governance
- Assess AI applications for security risks across the full development lifecycle
- Design governance around AI model inventory, risk classification, and lifecycle management
- Document architecture, standards, and operational procedures
Cross-Functional Partnership
- Partner with Data Science and MLOps teams to implement secure model deployment pipelines
- Stay current on emerging AI attack techniques and defensive capabilities Required Qualifications
- 5+ years of experience in cybersecurity engineering or security architecture
- 2+ years supporting AI/ML security initiatives
- Hands-on experience deploying or administering HiddenLayer
Working knowledge of adversarial machine learning techniques, including:
- Prompt injection
- Model extraction
- Data poisoning
- Model evasion
- Membership inference
- Supply chain attacks
Experience securing LLM-based applications
- Understanding of AI model lifecycle management
- Familiarity with Python and REST APIs
- Experience with Kubernetes and container security
- Knowledge of AI services on AWS, Azure, or Google Cloud Platform
- Experience integrating security platforms via APIs and automation Preferred Qualifications
- Experience with additional AI security platforms: Protect AI, Microsoft AI Security, NVIDIA AI Enterprise Security, or Palo Alto AI Runtime Security
- Experience with ML platforms/tools: MLflow, Kubeflow, SageMaker, Vertex AI, or Azure Machine Learning
- Experience with SIEM platforms: Splunk, Microsoft Sentinel, Google Chronicle, or QRadar
- Security certifications: CISSP, GSEC, GIAC, or cloud security certifications
- Familiarity with AI governance frameworks: NIST AI Risk Management Framework, OWASP Top 10 for LLM Applications, or MITRE ATLAS
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: PTP88pCqqBqe0nD
- Position Id: 177
- Posted 8 hours ago
Company Info
About TEKEngineersInc
Founded in 2010, TEKEngineers stands out as a prominent global IT services and solutions company. Our core focus revolves around delivering comprehensive enterprise digital transformation and modernization solutions spanning diverse business verticals. Collaborating closely with our clients, we drive innovation, reimagine workflows, and facilitate transformative experiences, enabling businesses to maintain a competitive edge in today's dynamic landscape.
Within TEKEngineers, we actively cultivate an entrepreneurial mindset among our employees, encouraging them to thrive. Our commitment to inclusivity, integrity, and providing opportunities for promising growth underscores our pledge to accelerate your career within an environment that values both personal and professional development.
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