Novartis

Associate Director, AI Enterprise Security Architecture

Novartis

full-time

Posted on:

Origin:  • 🇪🇸 Spain

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Job Level

Senior

Tech Stack

AWSAzureCloudGoogle Cloud PlatformRay

About the role

  • Oversee AI architectural activities for a specific business or technology domain and manage development of solution architectures for projects or programs
  • Define AI security standards and direction of architecture; establish best practices for protecting AI pipelines, datasets, and models
  • Define and develop the logical architectural design and strategies necessary to secure the organization's AI domain/infrastructure
  • Utilize architecture patterns to recommend technical platform usage for holistic AI solution security architecture design
  • Define, create and evolve the Architecture Governance Framework for AI (methods, practices and standards)
  • Assess organization's AI landscape, identify vulnerabilities and evaluate risks associated with training, deployment, and operation of AI models
  • Keep up-to-date with latest security threats, trends, and best practices; evaluate/select security tools and technologies to enhance AI security
  • Collaborate with IT, data scientists, engineers, and DevOps to integrate security into AI platforms and LLM-related processes and the AI development lifecycle
  • Provide guidance and support to Engineering teams to implement security measures and resolve security-related issues
  • Regularly report on status of AI security measures to senior management and stakeholders
  • Secure AI systems from development through deployment, including securing training data and monitoring deployed models for threats

Requirements

  • University working and thinking level, degree in business/technical area or comparable education/experience
  • 15+ years of working experience in Security domain
  • Minimum 5 years in architecture capacity
  • 2+ years of AI Security essential
  • Expertise in various AI security products (e.g. Cranium, Noma, JFrog X-Ray, HiddenLayer, Darktrace)
  • Demonstrated AI security architecture conceptual skills, solutions delivery, and decision making
  • Prior experience in AI security policy, standards, guidelines, and patterns definition
  • In depth understanding of the AI security domain including strong knowledge of AI threats and mitigating malicious uses of AI and AI risk identification
  • Experience building defences against AI-based attacks, and enforcing data privacy protocols
  • Expertise conducting security design evaluations and threat modeling for AI/ML applications running on cloud platforms like Azure/AWS/GCP
  • Experience in reporting to and communicating with senior level management
  • Excellent written and verbal communication and presentation skills; interpersonal and collaborative skills
  • Proven experience to initiate and manage projects affecting other divisions, departments, and functions
  • Experience working in a multi-vendor, global environment and leading technical teams