Remote AI Security Governance Architect

Plain Concepts; España; Remote; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Flexible schedule

Remote work (optional)

Flexible compensation (benefits)

Health insurance

Training budget & Microsoft certs

English lessons

Birthday day off

Stipend for home electricity &Internet

Gym discounts

Plain Camp (annual event)

Job summary

Plain Concepts is seeking an AI Security Governance Architect to design and operationalize cybersecurity governance for AI, GenAI, and agentic AI. You will translate AI risks into practical controls, and align governance with NIST/ISO standards while collaborating with security, architecture, and business teams.

You will define security requirements for internal copilots, GenAI apps, RAG systems, ML models, and vendor solutions, integrating governance with GRC, IAM, DLP, SIEM, and cloud security

Qualifications

• 8+ years of experience in cybersecurity and governance.
• Strong understanding of AI and GenAI security risks.
• Experience designing and operationalizing security governance frameworks.
• Knowledge of AI security governance standards.

Responsibilities

• Define and evolve AI security governance frameworks across AI use cases and risks.
• Align governance with standards such as NIST AI RMF, ISO/IEC 42001, OWASP Top 10 for LLMs.
• Assess AI/GenAI/agentic AI risks from a cybersecurity perspective.
• Translate risks into practical security controls, policies, and requirements.
• Define security requirements and architecture patterns for various AI scenarios.
• Integrate AI governance with existing GRC, IAM, DLP, SIEM, and cloud security tools.

Skills

AI security governance

Security architecture

Risk management

AppSec

Cloud security

NIST AI RMF

ISO 42001

OWASP Top 10

LLM security

Bilingual English/Spanish

Tools

HiddenLayer

Sentra

Zenity

Job description

Plain Concepts is seeking an AI Security Governance Architect to design and operationalize cybersecurity governance for AI, GenAI, and agentic AI. You will translate AI risks into practical controls, and align governance with NIST/ISO standards while collaborating with security, architecture, and business teams.

You will define security requirements for internal copilots, GenAI apps, RAG systems, ML models, and vendor solutions, integrating governance with GRC, IAM, DLP, SIEM, and cloud security