AI Security Engineering Lead

Company : Morgan Mckinley

Job Type : Full Time

Singapore

Number of Applicants

000+

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Job Description - AI Security Engineering Lead

Key Responsibilities

Define and enhance security architecture for AI/ML systems, including data pipelines, model development, and deployment environments
Design and implement security controls such as model validation, guardrails, monitoring, and risk management frameworks
Partner with engineering, data, and business teams to integrate secure-by-design principles into AI solutions
Evaluate and implement enterprise AI platforms and tools through proof-of-concept and production deployments
Establish scalable operating models, standards, and best practices for AI security
Assess emerging technologies (e.g. generative AI, agent-based systems) and their security implications
Provide technical leadership and guidance on AI security risks, controls, and governance

Requirements

Minimum 8-12 years of experience in cybersecurity, software engineering, or platform engineering, with exposure to AI/ML environments.
Hands-on experience with AI/ML platforms (e.g. Databricks, AWS SageMaker, Azure ML) and secure data pipelines.
Familiarity with cloud platforms (e.g. AWS, Azure, GCP) and AI/ML services.
Understanding of AI security concepts such as model risk, adversarial threats, and secure deployment practices.
Proficiency in programming/scripting (e.g. Python, Java) and working with APIs and data pipelines.
Strong knowledge of security frameworks and best practices.
Strong analytical, communication, and stakeholder management skills.

Morgan Mckinley Pte Ltd

Pam Lim Sook Fern

EA Licence No: 11C5502

EAP Registration No: R1106192

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AI Security Engineering Lead

Job Description - AI Security Engineering Lead

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