GenAI Cybersecurity Engineer – Charlotte, NC

Salary: –

DTS is looking for experienced GenAI Cybersecurity Engineer for a Direct Client position based in 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. DTS offers excellent compensation package. Contact : Ajay Bharbutta Team Lead Digital Technology Solutions (DTS)