Security Engineering Vulnerability Protection Engineer

CIS Technologies Inc.

United States

2 days ago

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Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

2 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Kubernetes Security Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Security Cyber Security Python (Programming Language) Machine Learning Open Web Application Security Azure Machine Learning Security Information and Event Management

+14 more

Software Vulnerability Management Google Cloud Delivery Pipeline Large Language Models Data Poisoning QRadar Generative AI AI Platforms Kubernetes Microsoft Sentinel Machine Learning Operations Restful APIs Splunk Security Orchestration, Automation & Response

Job description

We are seeking an experienced Security Engineering Vulnerability Protection Engineer with strong expertise in AI/ML security and HiddenLayer. The engineer will be responsible for deploying and administering the HiddenLayer platform and protecting AI/ML models and LLM-based applications against emerging threats such as prompt injection, model theft, data poisoning, and adversarial attacks., * Deploy, configure, and administer the HiddenLayer AI security platform.

Integrate HiddenLayer with SIEM, SOAR, EDR, vulnerability management, and cloud security platforms.
Develop AI security detection rules, dashboards, monitoring, and executive reporting.
Protect AI/ML workloads against prompt injection, model extraction, data poisoning, model evasion, membership inference, and supply-chain attacks.
Perform AI threat modeling, security assessments, and incident response/root-cause analysis.
Establish governance for AI model inventory, risk classification, and lifecycle management.
Partner with Data Science, MLOps, and Security teams to secure AI/ML deployment pipelines.
Document security architecture, standards, procedures, and operational processes.

Requirements

13+ years of experience in cybersecurity engineering or security architecture.
2+ years of experience in AI/ML security.
Hands-on experience with HiddenLayer.
Experience securing LLM-based applications and AI/ML workloads.
Knowledge of adversarial machine-learning techniques and AI-specific threats.
Strong understanding of Python, REST APIs, Kubernetes, and container security.
Experience with AWS, Azure, or Google Cloud Platform AI services.
Experience integrating security platforms through APIs and automation.
Understanding of AI model lifecycle management.

Preferred Skills

Protect AI, Microsoft AI Security, NVIDIA AI Enterprise Security, or Palo Alto AI Runtime Security.
MLflow, Kubeflow, SageMaker, Vertex AI, or Azure Machine Learning.
Splunk, Microsoft Sentinel, Google Chronicle, or QRadar.
CISSP, GSEC, GIAC, or cloud security certifications.
Knowledge of NIST AI RMF, OWASP Top 10 for LLM Applications, or MITRE ATLAS.