Xerox

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.
•         Monitor and respond to security incidents involving AI/ML resources and infrastructure, ensuring rapid mitigation and remediation.
•         Champion the adoption of AWS Bedrock security best practices, including data encryption, access control, and compliance automation for generative AI services and Agentic AI implementations.
•         Stay abreast of emerging threats, vulnerabilities, and regulatory requirements relating to AI/ML security.

Required Qualifications:

•         Bachelor’s degree or equivalent practical experience.
•         Minimum 10 years of experience with security assessments or security design reviews or threat modeling.
•         Minimum 4 years of experience in cloud security, security engineering, computer and network security
•         Minimum 2 years of experience focused on AI/ML technologies in cloud environments.
•         Ability to quantify risks to AI solutions based on standard mechanisms like AI RMF, OWASP ML Security top 10, MITRE ATLAS etc.
•         Hands-on experience with Azure AI and AWS (including AWS Bedrock) Platform.
•         Strong understanding of AI/ML security risks, including data privacy, model security, and AI-specific threat vectors.
•         Proficiency in designing and implementing security controls for cloud-native AI/ML services (e.g., IAM, KMS, VPC, encryption, network segmentation).
•         Excellent analytical, problem-solving, and communication skills.

Preferred Skills:

•         Certifications such as AWS Certified Security – Specialty, or Certified Information Systems Security Professional (CISSP).
•         Knowledge of secure AI/ML model deployment strategies, adversarial robustness, and responsible AI practices.
•         Experience with infrastructure as code (Iac) tools (e.g., Terraform, CloudFormation) and security automation.
•         Experience working in agile, multicultural, and cross-functional teams.

Soft Skills Required:

• Strong interpersonal skills as well as excellent written and verbal communication skills
• Uncompromising personal and professional integrity and ethics.

• Clear articulation of complex technical concepts to both technical and non-technical stakeholders.
• Creative and analytical thinking to navigate challenges and develop innovative solutions.
• Evaluating situations logically to make informed decisions and anticipate potential risks.
• Prioritizing tasks and managing deadlines efficiently while managing stakeholders.

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