[Remote] AI Security & Compliance Engineer - Onsite

Note: The job is a remote job and is open to candidates in USA. NTT DATA North America is a recognized leader in IT and business services, and they are seeking an AI Security & Compliance Engineer to ensure AI and GenAI systems are designed, deployed, and operated securely and in compliance with various standards. The role will involve implementing security architecture, conducting threat modeling, and maintaining compliance documentation for AI platforms.

Responsibilities

• Design and review secure architectures for AI/ML platforms, LLM applications, RAG pipelines, model-serving environments, and agentic AI workflows
• Conduct threat modeling for prompt injection, jailbreaks, insecure tool use, model inversion, data leakage, retrieval poisoning, adversarial inputs, and unauthorized access
• Implement controls for IAM, encryption, secrets management, network segmentation, API security, logging, secure data handling, and data-loss prevention
• Embed security into MLOps, LLMOps, CI/CD, container security, infrastructure-as-code, and deployment pipelines
• Review third-party models, APIs, open-source packages, AI tools, and vendor platforms for security, privacy, and compliance risks
• Build monitoring and alerting for suspicious AI usage, anomalous access, policy violations, unsafe interactions, and potential data leakage
• Support AI red teaming, penetration testing, vulnerability management, incident response, and remediation planning
• Maintain audit-ready documentation for controls, testing, risk acceptance, and production-readiness reviews

Skills

• Strong background in cybersecurity, cloud security, application security, DevSecOps, or technology risk
• Experience securing cloud-native platforms, APIs, microservices, containers, Kubernetes, CI/CD pipelines, and infrastructure-as-code
• Understanding of AI/ML and GenAI-specific risks such as prompt injection, adversarial attacks, data leakage, model misuse, and unsafe tool use
• Familiarity with threat modeling, vulnerability management, security testing, incident response, and secure SDLC practices
• Ability to work directly with engineering teams to implement practical, risk-based controls
• Experience securing AI/ML platforms or GenAI applications in production
• Financial-services security, technology risk, regulatory, or audit experience
• Familiarity with AI red teaming, model supply-chain risk, secure RAG design, LLM gateways, and privacy-by-design controls

Benefits

• Company benefits that will depend on the nature of the role offered
• Medical, dental, and vision insurance
• Flexible spending or health savings account
• Life, and AD&D insurance
• Short-and long-term disability coverage
• Paid time off
• Employee assistance
• Participation in a 401k program with company match
• Additional voluntary or legally required benefits

Company Overview

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