We are looking for a Senior AI Security Engineer to help secure the adoption of Artificial Intelligence across enterprise environments, contributing to the design, implementation, and governance of security controls for AI-powered solutions.
🏢 About Ambit
Ambit is a company focused on cybersecurity and AI security solutions, working with enterprise environments to implement secure AI practices.
🎯 The Role
In this hands-on role, you will work closely with cybersecurity, architecture, engineering, and AI platform teams to translate AI security strategy into practical controls, reusable patterns, and implementation guidance for Machine Learning, Generative AI, RAG, and Agentic AI solutions deployed at enterprise scale.
✅ Key Responsibilities
Translate AI security risks and strategic objectives into practical security controls, reusable architecture patterns, technical standards, and implementation guidelines.
Conduct AI security assessments, architecture reviews, threat modeling exercises, and security testing activities for AI-enabled solutions.
Review and support Machine Learning, Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI architectures from a security perspective.
Collaborate with development and platform teams to integrate security controls into AI applications, cloud platforms, development pipelines, and AI engineering processes.
Define security requirements for AI applications, models, data, agents, identities, integrations, monitoring, and incident response capabilities.
Support the implementation of secure development practices across AI initiatives.
Work closely with cybersecurity, enterprise architecture, AI platform, privacy, legal, quality, and business teams to establish sustainable AI security practices.
Contribute to the evolution of enterprise AI security standards, frameworks, and best practices.
Promote security-by-design principles throughout the AI solution lifecycle.
📌 Required Qualifications
Degree or equivalent practical experience in Cybersecurity, Computer Science, Artificial Intelligence, Software Engineering, or a related technical field.
Proven experience in Security Architecture, Application Security, Cloud Security, Platform Security, Product Security, or Security Engineering.
Practical exposure to securing AI, Machine Learning, or Generative AI solutions.
Solid understanding of Machine Learning, Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI architectures, including associated security risks and data flows.
Hands-on experience with threat modeling and security assessments.
Knowledge of secure software development practices and security testing methodologies.
Experience with Identity & Access Management (IAM), secrets management, cloud security controls, and development pipeline security.
Ability to translate complex security concepts into practical guidance for technical and non-technical stakeholders.
Strong collaboration and communication skills.
Fluent professional English.
⭐ Desirable Experience
Experience with AI security testing, red teaming, adversarial AI testing, or AI risk assessments.
Exposure to AI engineering practices and MLOps environments.
Experience working in regulated industries such as Pharma, Healthcare, Finance, or Life Sciences.
