Principal Security Architect

**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.