Responsibilities
Conduct security research and testing of AI/ML services across Azure, AWS, and GCP
Define and drive enterprise-wide security requirements for AI/ML cloud services
Collaborate with engineering teams to align security controls with real-world AI/ML use cases
Identify risks and propose effective mitigations in time-sensitive projects
Provide security expertise and guidance on scalable, reusable security solutions
Document and present technical and business risks to senior stakeholders
Requirements
Strong background in Information Security, risk assessment, and security architecture
In-depth knowledge of cybersecurity threats, vulnerabilities, and countermeasures
Hands-on experience with at least one major Cloud Service Provider (Azure, AWS, GCP)
Familiarity with AI/ML cloud services such as Azure AI Foundry, AWS Bedrock, and Google Vertex AI
Excellent communication, problem-solving, and stakeholder management skills
Practical experience in an enterprise information security environment
Ability to thrive in high-pressure, fast-paced, and dynamic global settings
Advantages
Experience with cloud security configurations, compliance, and infrastructure as code tools
Familiarity with cloud governance tools and CI/CD security best practices
Background in penetration testing, incident response, or forensic analysis
Financial services industry experience is an advantage