Enterprise Architect

Technology, Data & Digital · IT Infrastructure & Security · Cybersecurity · Machine Learning · Cloud Engineering

In short

As an AI Security Engineer, you will be responsible for securing the end-to-end AI and machine learning lifecycle, protecting AI infrastructure, ensuring data privacy, and defending against adversarial ML threats. You will work on Google Cloud, integrating security into model development and deployment to build resilient, secure AI environments.

Responsibilities

Design and implement security controls for AI/ML pipelines, ensuring the integrity and confidentiality of models and data from ingestion to deployment.
Conduct threat modeling and security assessments specifically targeting AI infrastructure, including model theft, data poisoning, and prompt injection attacks.
Collaborate with data science and engineering teams to operationalize adversarial ML defenses and implement privacy-preserving techniques like differential privacy.
Develop and deliver training on secure AI development practices and leading strategies for monitoring AI-specific security telemetry in Security Command Center Enterprise (SCCE).

Requirements

Strong background in security engineering with specialized experience in AI/ML security, including model protection and adversarial machine learning.
Proven experience securing AI infrastructure and cloud-native services on platforms like Google Cloud (Vertex AI, GKE, etc.).
Deep understanding of data privacy regulations and technical implementations for securing large-scale training datasets.
Ability to conduct technical security workshops and communicate complex AI risks to both technical and non-technical stakeholders.

Desired Qualifications

Google Cloud Professional Machine Learning Engineer or Professional Security Engineer certification.
Experience with AI security frameworks and performing AI-specific red teaming or audits.
Familiarity with securing Generative AI and Large Language Models (LLMs) in production environments.
GCP Security & Compliance: Expertise in Google Cloud Platform (GCP) landing zone security, compliance, and framework governance.
Data Loss Prevention (DLP) & Responsible AI: Knowledge of responsible AI strategies.

Skills

Security EngineeringAI/ML SecurityAdversarial Machine LearningCloud SecurityGoogle Cloud PlatformVertex AIGKEData PrivacyThreat ModelingGenerative AILarge Language Models (LLMs)Data Loss Prevention (DLP)Responsible AI

#AI#Machine Learning#Security#Google Cloud#Enterprise Architect

About HCLTech

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HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered around digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2022 totaled $12.1 billion. To learn how we can supercharge progress for…

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