Associate Director, AI Security Architecture
Novartis IndiaJob Description
Associate Director, AI Security Architecture
Job Description Summary
Internal Job Title: Assoc. Dir. DDIT ISC Security Architecture AI#LI-Hybrid
Location: Hyderabad
Relocation Support: Yes
Help shape how AI can be built, deployed, and scaled securely. In this role, you’ll influence the security architecture behind next-Generation AI solutions, defining standards and patterns that protect AI models, data, pipelines, and agentic systems throughout their lifecycle. You’ll work at the intersection of AI, cybersecurity, cloud engineering, and architecture, partnering with technical teams to address emerging threats, strengthen secure AI development, and turn evolving security challenges into practical, scalable solutions.
Job Description
Key Responsibilities
- Lead AI architectural activities and develop secure solution architectures across business and technology domains.
- Define AI security standards and best practices for protecting AI pipelines, datasets, models, and infrastructure.
- Develop logical architecture designs and strategies to secure the organization’s AI domain and infrastructure.
- Establish and evolve AI architecture governance frameworks, including methods, practices, standards, and reusable architecture patterns.
- Assess the AI landscape, identifying and mitigating security risks across model training, deployment, and operations.
- Evaluate AI security technologies and integrate appropriate security controls across AI platforms and Large Language Models.
- Secure AI and agentic systems against model poisoning, adversarial inputs, prompt injection, jailbreaking, and emerging threats.
- Design Model Context Protocol servers, AI agent workflows, secure deployment architectures, and AI gateway integrations.
- Build Python services, developer tools, integrations, and AI security harnesses supporting secure software development.
- Collaborate with data scientists, engineers, and DevOps teams to embed security throughout the AI development lifecycle.
Essential Requirements
- 12+ years of overall professional experience, including substantial experience across security, architecture, software development, and AI security engineering.
- At least 5 years of security experience, 5 years in architecture, 5 years in development, and 2+ years in AI security and engineering.
- Proven AI security architecture expertise covering training data, models, pipelines, deployed AI solutions, security policies, standards, and architecture patterns.
- Strong knowledge of AI threats, risk identification, threat modeling, data privacy, and defenses against adversarial and AI-based attacks.
- Hands-on experience securing Artificial Intelligence and Machine Learning applications across cloud platforms, with strong Amazon Web Services engineering and architecture expertise.
- Production experience with AI coding agents, Model Context Protocol servers, agent workflows, Python development, automated testing, and AI gateway integrations.
Desirable Requirements
- Security engineering or application security background, with experience evaluating and working with specialized AI security technologies.
- Experience building developer-facing command-line tools and working effectively in multi-vendor, global technology environments.
Commitment to Diversity and Inclusion:
Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.
Accessibility and accommodation
Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to diversityandincl.india@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message
Skills Desired
Business Acumen, Business Value Creation, Change Management, Consulting, Digital Capabilities, Enterprise Architecture (EA), Influencing Skills, Integration Architecture, IT Governance, Solution Architecture, Stakeholder EngagementExperience Level
Executive LevelJob role
Job requirements
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