AI Security Data Analyst

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2

Skills

Data Skills
Cisco
Cloud Computing
Collaboration
Cyber Security
Infrastructure Architecture
Artificial Intelligence
Data Analysis
Data Visualization
DevOps
Documentation
Lifecycle Management
Machine Learning (ML)
Network
Performance Analysis
Project Management
Python
Reporting
SQL
Scripting
Technical Support

Job Details

Title: AI Security Data Analyst
Location: San Jose, CA
Experience: 8+ Years Required

Key Skills & Technologies:

AI Security, Data Analysis, Large-scale Datasets, Data Visualization, Reporting, Prompt Injection, Adversarial Attacks, AI Model Lifecycle, Cisco AI Defense Console, Cloud Environments, Telemetry Tools, Python, SQL, APIs, AI Canvas, Machine Learning, Network Traffic Analysis, Cloud Logs, Cross-functional Collaboration

About the Role:

We are seeking an experienced and results-driven AI Security Data Analyst to join our team. This role is critical in supporting AI security initiatives through the analysis of large and complex datasets, uncovering security vulnerabilities, and delivering actionable insights. The ideal candidate will have a strong grasp of AI security concepts, model lifecycle management, and threat identification techniques such as prompt injections and adversarial attacks.

Primary Responsibilities:

  • Analyze extensive datasets to detect trends, anomalies, and potential security threats in AI systems.

  • Create detailed reports and data visualizations to effectively communicate findings to technical and non-technical stakeholders.

  • Leverage expertise in AI security, including identifying and mitigating prompt injection and adversarial attack vectors.

  • Work with AI security tools and platforms such as the Cisco AI Defense Console, cloud environments, and telemetry systems.

  • Utilize Python, SQL, and APIs to automate data processes, manipulate datasets, and integrate external systems.

  • Support AI model lifecycle efforts, focusing on security model validation and performance analysis.

  • Use platforms like AI Canvas for team collaboration, documentation, and project tracking.

  • Monitor and analyze network traffic, cloud logs, and AI infrastructure components to enhance system visibility.

  • Collaborate with cross-functional teams including cybersecurity, AI/ML engineers, and DevOps to support secure AI deployment and monitoring.

Required Qualifications:

  • Demonstrated experience in analyzing large-scale datasets, producing reports, and building visualizations for security insights.

  • Deep understanding of AI security threats, concepts, and model lifecycle management.

  • Hands-on experience with AI security platforms, cloud tools, and telemetry data.

  • Strong programming and data skills using Python, SQL, and relevant scripting tools.

  • Familiarity with machine learning models, particularly in the context of AI security and model validation.

Preferred Skills:

  • Understanding of network traffic analysis, cloud log interpretation, and AI infrastructure architecture.

  • Experience collaborating across diverse teams and working in security-focused environments.

  • Familiarity with AI Canvas or similar platforms for collaborative project management.

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.