GenAI Cybersecurity Engineer - Charlotte, NC

SKILLS:

• Principal Security Architect – GenAI Security & Readiness (Data Protection Team)
• Hands-on experience with GenAI frameworks (LangChain, LangGraph, Langfuse), LLMs (GPT-4o, Claude, Llama 3), and vector DBs
• Understanding of Cyber Security Framework
• IAM & Data Protection understanding
• Microsoft Security
• Microsoft Copilot
• Jira/Confluence
• Fluent in Agile
• Project & Stakeholder Mgmt.
• Demonstrated ability to build strong relationships
• Critical thinking
• Attention to detail/detail oriented/organized

Principal Security Architect – GenAI Security & Readiness (Data Protection Team)

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

- Define and implement security architecture for GenAI platforms including LLMs, RAG pipelines, agentic workflows, and inference services.
- Lead threat modeling and risk assessments for GenAI components such as LangChain, LangGraph, Langfuse, and vector databases (e.g., OpenSearch, Milvus).
- Establish governance and guardrails for prompt engineering, model evaluation (RAGAs, G-Eval), and responsible AI practices.

Data Protection & Compliance

- Collaborate with the Data Protection team to integrate GenAI security controls into existing DLP, encryption, and classification frameworks.
- Ensure alignment with regulatory standards (e.g., NIST CSF, ISO 27001, CIS) and support audit readiness for GenAI deployments.
- Evaluate and enforce IAM, data residency, and privacy controls across AWS, Azure, and hybrid environments.

Operational Readiness & Monitoring

- Build observability and monitoring frameworks for GenAI systems using tools like Prometheus, Grafana, ELK, and Langfuse.
- Develop automated pipelines for model deployment, evaluation, and rollback using Kubernetes, Helm, and CI/CD tools (e.g., ArgoCD, CircleCI).
- Lead incident response planning and tabletop exercises for GenAI-related security events.

Cross-Functional Enablement

- Partner with engineering, product, and business units to embed security into GenAI use cases such as chatbots, knowledge assistants, and document summarization.
- Deliver training and awareness programs on GenAI security risks and best practices.
- Represent the Data Protection team in enterprise AI steering committees and working groups.

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.

Success Measures

- 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.