Cyber Security Principal

  • Charlotte, NC
  • Posted 45 days ago | Updated 2 hours ago

Overview

On Site
BASED ON EXPERIENCE
Contract - Independent
Contract - W2
Contract - 12+ mo(s)

Skills

Cloud Computing
FOCUS
Risk Management
Regulatory Compliance
Computer Science
LangChain
Python
Kubernetes
Amazon SageMaker
Microsoft Azure
Databricks
Machine Learning Operations (ML Ops)
Workflow
Data Security
Encryption
Cloud Security
Cyber Security
CISSP
Cisco Certifications
Amazon Web Services
Machine Learning (ML)
Financial Services
Insurance
Data Governance
Generative Artificial Intelligence (AI)
Evaluation
Artificial Intelligence
Design Patterns
Orchestration

Job Details

Onsite in Charlotte - Hybrid model - onsite 3 days a week; will consider Detroit

Position Summary

We are seeking a visionary and technically adept Principal Security Architect to lead GenAI security and readiness initiatives within the Data Protection team. This role will be instrumental in shaping enterprise-wide strategies for securing generative AI platforms, ensuring compliance, and enhancing data protection capabilities across cloud and hybrid environments. The ideal candidate will bring deep expertise in AI/ML systems, cloud-native architectures, and cybersecurity frameworks, with a strong focus on operational readiness and risk mitigation.

Key Responsibilities
  • GenAI Security Strategy & Architecture
  • Data Protection & Compliance
  • Operational Readiness & Monitoring
  • Cross-Functional Enablement
Minimum Qualifications
  • Bachelor s degree in Computer Science, Cybersecurity, or related field.
  • 10+ years of experience in cybersecurity, with 1+ years in AI/ML or GenAI security.
  • Hands-on experience with GenAI frameworks (LangChain, LangGraph, Langfuse), LLMs (GPT-4o, Claude, Llama 3), and vector DBs.
  • Proficiency in Python, Kubernetes, AWS (Bedrock, Sagemaker), Azure Databricks, and MLOps tools (MLflow, Argo workflows).
  • Strong understanding of data protection principles, encryption, and cloud security.
Preferred Qualifications
  • Master s degree in Cybersecurity, AI/ML, or related discipline.
  • Certifications: CISSP, CCSP, AWS Machine Learning Specialty, or equivalent.
  • Experience in highly regulated industries (e.g., financial services, insurance).
  • Familiarity with data governance tools (e.g., Collibra, Alation) and GenAI evaluation frameworks (RAGAs, Guardrails).
  • Exposure to agentic AI design patterns and multi-agent orchestration.
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