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Plain Concepts

Custom software and AI solution provider

AI Security Governance Architect

Security Governance, Risk & ComplianceConfirmed live in the last 24 hours
Full-timeRemote in SpainNo salary listed

About the Job

Requirements

  • At least 8 years of experience in cybersecurity, with a strong background in security governance, security architecture, risk management, application security, or cloud security.
  • Strong understanding of AI and generative AI security risks, including LLM application security, prompt injection, sensitive data leakage, RAG security, AI agent permissions, model/API exposure, model supply chain, and third-party AI services.
  • Experience designing and operationalizing security governance and control frameworks, including translating policies and risk requirements into practical controls, processes, and security requirements.
  • Knowledge of AI security and governance frameworks such as NIST AI RMF, ISO/IEC 42001, OWASP Top 10 for LLM Applications, and related AI risk and security standards.
  • Ability to work across security, architecture, and business teams, translating cybersecurity risks into requirements and recommendations for technical and executive stakeholders.
  • Ability to create executive-ready materials and detailed security and control documentation.
  • Fluency in English and Spanish.

Responsibilities

  • Define and evolve AI security governance frameworks covering AI use case registration, risk classification, security controls, approvals, exceptions, monitoring, and periodic reassessment.
  • Align AI security governance with recognized standards and regulations, including NIST AI RMF, NIST Generative AI Profile, ISO/IEC 42001, OWASP Top 10 for LLM Applications, and the EU AI Act.
  • Assess AI, generative AI, and agentic AI use cases from a cybersecurity perspective, considering prompt injection, sensitive data leakage, identity and access management, excessive agent permissions, model exposure, third-party AI services, data residency, and AI supply chain risks.
  • Translate AI risks into practical security controls, including security policies, technical requirements, architecture patterns, guardrails, evidence requirements, ownership, and acceptance criteria.
  • Define security requirements and architecture patterns for internal copilots, Microsoft 365 Copilot, custom generative AI applications, RAG systems, AI agents, machine learning models, vendor AI solutions, and low-code/no-code AI automations.
  • Integrate AI security governance with existing security tooling and processes, including HiddenLayer, Sentra, Zenity, GRC, IAM, DLP, SIEM/SOC, cloud security, CMDB, and data governance environments.
  • Define and improve AI security governance deliverables, including AI security control frameworks, use case classification models, security requirements, architecture patterns, risk acceptance processes, security review templates, KPI/KRI dashboards, and maturity roadmaps.

Desired Qualifications

  • Experience with AI governance programs, generative AI security assessments, or AI Security Posture Management (AISPM).
  • Experience securing enterprise AI environments such as Microsoft 365 Copilot, custom generative AI applications, RAG solutions, or AI agents.
  • Knowledge of cloud security architecture, Secure SDLC/DevSecOps, DSPM, GRC, or AI-related SOC monitoring.
  • Familiarity with tools such as HiddenLayer, Sentra, Zenity, Wiz, Microsoft Purview, Defender, CSPM/CWPP, DLP, or SIEM/SOAR platforms.
  • Knowledge of third-party AI risk management and security control evidence automation.
  • Understanding of privacy and AI regulatory requirements, including GDPR, DPIAs, data classification, and the EU AI Act.

About the Company

Plain Concepts

Custom software and AI solution provider

Plain Concepts delivers customized technology solutions through project-based engagements in four areas: artificial intelligence, data and analytics, enterprise application development, and infrastructure modernization. It uses its strong Microsoft ecosystem knowledge and partnership as a Microsoft AI and Cloud Partner to create tailored applications for clients. The firm offers products such as Evergine, a graphics engine for industrial digital twins and immersive 3D experiences, and SIDDI, an AI-powered platform that improves visual content accessibility for people with sensory impairments. With nearly 500 professionals worldwide, the company focuses on helping clients transform through technology while advancing digital inclusion and efficiency.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Cordoba, Argentina
Founded
2006

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