Senior Specialist Security Architecture AI

Overview

Shape how AI is built securely at scale by combining AI security architecture with hands-on engineering to protect emerging AI and agentic systems from development through deployment.

What you'll do

• Shape secure AI architectures, standards and patterns across enterprise AI platforms and solutions.
• Define security strategies protecting AI models, datasets, pipelines and supporting infrastructure.
• Assess AI environments, identify vulnerabilities and mitigate risks throughout the AI lifecycle.
• Design secure agentic AI workflows, Model Context Protocol servers and integrations.
• Embed security into AI development, deployment and Machine Learning Operations processes.
• Develop secure Python services, integrations, web applications and developer-facing tools.
• Build and optimize security scanning capabilities for AI-generated code and software dependencies.
• Evaluate AI security technologies and recommend solutions based on evolving threats and business needs.
• Partner with engineering, data science and platform teams to implement security-by-design practices.
• Communicate AI security risks, architecture decisions and recommendations to technical and senior stakeholders.

What you'll need

• Relevant degree or equivalent experience, with substantial professional experience across security, architecture and software development.
• At least 2 years of hands-on experience in Artificial Intelligence security and engineering, including securing models, data and deployments.
• Strong Artificial Intelligence security architecture expertise, including threat modelling, risk identification, security patterns, standards and controls.
• Practical experience securing agentic Artificial Intelligence, including Model Context Protocol integrations, agent workflows and Artificial Intelligence gateways.
• Strong software engineering capability with professional Python development, automated testing and experience using Artificial Intelligence coding agents.
• Strong cloud security and architecture experience, particularly Amazon Web Services, with knowledge of Machine Learning Operations and secure deployment practices.

Nice to have

• Experience with Artificial Intelligence security technologies such as Cranium, Noma, JFrog Xray, HiddenLayer or Darktrace.
• Experience building developer-facing command-line tools and working effectively across global, multi-vendor technology environments.

Details

• Location: Hyderabad, India.
• Hybrid work mode.
• Relocation support available.