Description

You will lead the security architecture and strategy for GenAI platforms, covering LLMs, RAG pipelines, and agentic workflows.

Responsibilities

• Define and implement security architecture for GenAI components including LangChain, LangGraph, and vector databases.
• Lead threat modeling and risk assessments for inference services and agentic workflows.
• Establish governance, guardrails, and responsible AI practices for prompt engineering and model evaluation.
• Integrate security controls into DLP, encryption, and classification frameworks.
• Build observability and monitoring frameworks for GenAI systems using Prometheus, Grafana, ELK, and Langfuse.
• Develop automated deployment and rollback pipelines using Kubernetes, Helm, and CI/CD tools.

Required Skills

• 10+ years of experience in cybersecurity with 1+ years specifically in AI/ML or GenAI security.
• Hands-on experience with GenAI frameworks such as LangChain, LangGraph, and Langfuse.
• Practical knowledge of LLMs including GPT-4o, Claude, and Llama 3.
• Experience with vector databases like OpenSearch and Milvus.
• Proficiency in Python, Kubernetes, and AWS (Bedrock, SageMaker) or Azure Databricks.
• Experience with MLOps tools such as MLflow and Argo workflows.
• Deep understanding of IAM, data residency, and cloud security across AWS, Azure, and hybrid environments.
• Bachelor’s degree in Computer Science, Cybersecurity, or a related field.

Preferred Skills

• Master’s degree in Cybersecurity or AI/ML.
• Certifications including CISSP, CCSP, or AWS Machine Learning Specialty.
• Experience with data governance tools like Collibra or Alation and GenAI evaluation frameworks.

Key Skills

Education

Bachelor's degree