GenAI Security Architect — AI/ML Platform Security

Allianz Services

Lisboa

Híbrido

EUR 90 000 - 130 000

Tempo integral

Há 7 dias
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Vantagens oferecidas por esta oferta de emprego

Company bonus
Pension
Employee shares program
Employee discounts
Lifelong learning

Resumo da oferta

Allianz Services is seeking an experienced IS Solution Architect – AI Security to drive the design, governance, and evolution of security architectures for AI/ML systems and Generative AI deployments.

The role combines deep technical expertise in AI-specific threats and platform security with governance capabilities, ensuring robust controls across model lifecycles, data pipelines, LLM deployments, and AI services while enabling compliant, trustworthy AI adoption across the enterprise.

Qualificações

  • 5+ years of AI security architecture or security engineering in enterprise environments.
  • ],
  • job_responsibilities_description

Responsabilidades

  • Design and maintain enterprise AI security architectures: secure training, data pipelines, inference, and MLOps.
  • Provide guidance on securing AI/ML platforms and cloud services (SageMaker, Azure ML, Vertex AI, Databricks, Hugging Face).
  • Draft, review, and maintain AI/ML security policies and baselines aligned with EU AI Act, ISO 42001, and NIST AI RMF.
  • Define and track KPIs/KRIs for AI security posture and present governance reports.

Conhecimentos

AI security architecture
Security engineering
Cloud security
Governance & policy
English proficiency

Formação académica

Higher education degree in Information Security/CS/Engineering

Ferramentas

AWS SageMaker
Azure ML
Google Vertex AI
Databricks
Hugging Face

Descrição da oferta de emprego

Allianz Services is seeking an experienced IS Solution Architect – AI Security to drive the design, governance, and evolution of security architectures for AI/ML systems and Generative AI deployments.

The role combines deep technical expertise in AI-specific threats and platform security with governance capabilities, ensuring robust controls across model lifecycles, data pipelines, LLM deployments, and AI services while enabling compliant, trustworthy AI adoption across the enterprise.

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