Secure AI Solutions Analyst (Remote/Hybrid Eligible)

CNA Corporation; United States; Hybrid; USD 120,000 - 180,000; Full time

Job summary

CNA Corporation is seeking an AI & Cybersecurity Solutions Analyst to bridge AI development with security requirements, ensuring secure-by-design AI solutions. The role involves collaboration with AI teams, cybersecurity experts, and business stakeholders to assess requirements and prototype secure capabilities.

Responsibilities include designing AI/ML solutions, implementing secure AI models, conducting security assessments, and documenting architectures and threat models for leadership review.

Qualifications

• Bachelor's degree in a related field is required.
• 1+ year IT/cybersecurity/AI/ML development experience.
• Experience with cloud AI services (AWS/Azure/GCP) and ML frameworks.

Responsibilities

• Design, prototype, and test AI/ML solutions with security best practices.
• Implement AI models, automation workflows, and intelligent systems.
• Assess requirements, data needs, resources, and security implications.
• Develop POC solutions and demos for AI approaches.
• Conduct security assessments across the AI development lifecycle.

Skills

AI/ML development

Cybersecurity basics

Python

Data analysis

Communication

Cross-functional teamwork

Technical documentation

Troubleshooting

Prompt engineering

Cloud security

Education

Bachelor's degree in Computer Science, Information Technology, Cybersecurity, Data Science, Engineering, or related field

Tools

TensorFlow

PyTorch

scikit-learn

AWS AI services

Azure AI

GCP AI

Job description

CNA Corporation is seeking an AI & Cybersecurity Solutions Analyst to bridge AI development with security requirements, ensuring secure-by-design AI solutions. The role involves collaboration with AI teams, cybersecurity experts, and business stakeholders to assess requirements and prototype secure capabilities.

Responsibilities include designing AI/ML solutions, implementing secure AI models, conducting security assessments, and documenting architectures and threat models for leadership review.