Principal Security Architect

  • Charlotte, NC
  • Posted 1 day ago | Updated moments ago

Overview

On Site
$63 - $63 per hour
Contract - Independent
Contract - W2

Skills

Principal Security Architect

Job Details



A recognized financial organization is seeking a Principal Security Architect to join their growing team.



**This is a Hybrid role, requiring 3 days a week onsite at their Charlotte, NC office.**


Responsibilities:




  • Deployment of secure and compliant GenAI platforms within 6-12 months.




  • Reduction in GenAI-related data exposure and model misuse incidents.




  • Positive feedback from stakeholders on security enablement and collaboration.




  • Demonstrated leadership in GenAI security architecture and readiness planning.




  • 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.




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.




Desired Skills:




  • 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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