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Staff Security Engineer - Cloud & AI Security
Xerox Holdings Corporation
Remote, IND
Full-time
Senior · 10+ years experience
Remote
Discovered 3 weeks ago
AWSAWS BedrockTerraformCloudFormationIAMKMS
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Role Overview
We are seeking an experienced and highly motivated senior AI Security Engineer with deep expertise in securing AI/ML technologies, particularly in the context of leading cloud platforms such as AWS and MS Azure. The ideal candidate will possess a strong understanding of security best practices for AI/ML workloads, including the application of AWS Bedrock best practices, and will play a pivotal role in designing, implementing, and maintaining robust security solutions for our AI-powered solutions in Cloud environments.
Key Skills for This Role
AWSAWS BedrockTerraformCloudFormationIAMKMS
Full Job Posting
Position Overview
We are seeking an experienced and highly motivated senior AI Security Engineer with deep expertise in securing AI/ML technologies, particularly in the context of leading cloud platforms such as AWS and MS Azure. The ideal candidate will possess a strong understanding of security best practices for AI/ML workloads, including the application of AWS Bedrock best practices, and will play a pivotal role in designing, implementing, and maintaining robust security solutions for our AI-powered solutions in Cloud environments.
Primary Responsibilities :
- Familiarity with secure prompt engineering and LLM guardrails along with knowledge of responsible AI principles and robustness evaluation frameworks.
- Knowledge of Adversarial Attack Techniques - Evasion attacks, Poisoning attacks, Model inversion & extraction, Prompt injection attacks, jailbreak testing for LLMs and generative AI systems.
- Conduct security risk assessments, threat modelling, and vulnerability management for AI/ML workloads in the cloud.
- Design, implement, and manage cloud security architectures for AI/ML services and applications across AWS (including Bedrock), and Azure Cloud platforms.
- Develop and enforce security best practices, policies and controls for AI/ML technologies, data security, models, endpoints, APIs and MCP servers.
- Collaborate with Data Scientists, DevOps, and Engineering teams to integrate security throughout the AI/ML lifecycle.
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