AI Security Architect

2 weeks ago

Dublin, Dublin City, Ireland beBeeCybersecurity Full time €120,000 - €135,000
AI Security Architect Role

We are seeking a skilled AI Systems Cybersecurity Architect to shape the future of financial services by delivering secure enterprise-level AI/ML solutions and controls.

This role requires expertise in cybersecurity architecture, applications, and technical processes with considerable in-depth knowledge in artificial intelligence and machine learning. The ideal candidate will have practical cloud-native experience in AWS, GCP, and/or Azure, as well as a solid understanding and practical experience across the model development lifecycle (MDLC).

Key responsibilities include:

  • Developing and maintaining AI technology control requirements
  • Engineering and deploying AI-specific technology controls
  • Partnering with other organizations to uplift their respective areas to accommodate AI-specific security requirements

Preferred qualifications and skills include experience with API security, knowledge of containers and container orchestration, and knowledge of cloud infrastructure as code.

We strive to build trusted partnerships to help our clients achieve their business objectives. We recognize that our people are our strength, and the diverse talents they bring to our global workforce are directly linked to our success.

The successful candidate will be a highly motivated and skilled individual with formal training or certification in software engineering concepts and applied experience in AI/ML systems or cybersecurity architecture.

Required qualifications, capabilities, and skills include:

  • Hands-on practical technical experience delivering secure enterprise-level AI/ML solutions and controls
  • Advanced knowledge of cybersecurity architecture, applications, and technical processes with considerable in-depth knowledge in artificial intelligence and machine learning
  • Practical cloud-native experience in AWS, GCP, and/or Azure
  • Solid understanding and practical experience across the model development lifecycle (MDLC), including data acquisition & preparation, model experimentation, training & testing, and serving / MLOps

Benefits

We offer a dynamic work environment, opportunities for professional growth and development, and a competitive compensation package.

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