About The Position

The Security Architect AI leads the design and implementation of security controls for AI/ML systems across the entire lifecycle—data, model training, deployment, and operations. This role develops AI security architecture, establishes governance and risk frameworks, and defines secure-by-design standards for LLMs, GenAI tools, model pipelines, and agent-based systems.

Requirements

  • deep experience in security architecture
  • cloud platforms
  • data security
  • AI/ML systems
  • defenses against threats like prompt injection, data poisoning, model extraction, and adversarial attacks
  • Strong communication skills
  • cross‑functional leadership
  • familiarity with AI Risk and Governance Frameworks and Controls (FedRAMP, NIST 800-53, 800-37 AI RMF, FIPS 199/200, MITRE Atlas, etc.)

Responsibilities

  • AI threat modeling
  • model governance
  • data protection
  • securing MLOps/LLMOps pipelines
  • implementing guardrails and monitoring
  • leading AI red‑teaming
  • integrating AI telemetry into security operations
  • ensuring compliance with privacy and regulatory requirements
  • providing strategic guidance to engineering and leadership
  • producing architecture patterns and policies
  • evaluating third‑party AI services
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service