At a Glance
- Tasks: Secure AI and machine learning lifecycles, protecting data and infrastructure.
- Company: Join a leading tech giant focused on innovative AI solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous learning and development.
- Why this job: Make a real difference in AI security while working with cutting-edge technology.
- Qualifications: Strong background in security engineering and AI/ML security experience required.
The predicted salary is between 70000 - 90000 £ per year.
As an AI Security Engineer, you will be responsible for securing the end-to-end AI and machine learning lifecycle.
Your role is critical in protecting AI infrastructure, ensuring data privacy for training sets, and defending against adversarial ML threats.
You will work to integrate security into model development and deployment, providing expert guidance to help customers build and maintain resilient, secure AI environments on Google Cloud.
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).
Minimum Qualifications 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.
Preferred 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
AI Security Engineer employer: HCLTech
HCLTech is an excellent employer for those looking to advance their careers in cloud and infrastructure migration. With a strong focus on professional development, employees benefit from competitive compensation and a collaborative work culture that encourages innovation and growth. Located in a dynamic environment, HCLTech offers unique opportunities to work on cutting-edge technology projects while ensuring a supportive atmosphere for personal and professional advancement.
