Security / Compliance Engineering

NTT DATA North America

Jersey City (NJ)

On-site

USD 105,000 - 182,000

Full time

14 days+

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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
401(k) with company match
Paid time off

Job summary

NTT DATA seeks an AI Security & Compliance Engineer to join our Jersey City team. You will design, deploy and operate secure AI/GenAI platforms, covering cloud security, DevSecOps, and regulatory compliance for AIRP and related LLM workloads.

The role emphasizes threat modeling, risk remediation, and crafting reusable, cross-domain controls across IAM, encryption, IaC, and data handling while aligning with enterprise standards and governance.

Qualifications

  • 5+ years in cybersecurity, cloud security, or DevSecOps.
  • 5+ years securing cloud-native platforms, APIs, microservices, containers, and IaC.
  • 3+ years with AI/ML and GenAI-specific risks.
  • 3+ years with threat modeling, vulnerability management, or secure SDLC.
  • Experience with Terraform/IaC controls.

Responsibilities

  • Design and review secure architectures for AI/ML platforms and LLM apps.
  • Conduct threat modeling for prompt injection, jailbreaks, data leakage, and adversarial inputs.
  • Implement controls for IAM, encryption, key management, secrets, network security, and API security.
  • Embed security into MLOps, CI/CD, container security, and deployment pipelines.
  • Review cloud-agnostic IaC templates and AWS-specific deployments for least privilege and auditability.
  • Review third-party models and vendor platforms for security and compliance risks.
  • Build monitoring and alerting for suspicious AI usage and policy violations.
  • Support AI red teaming, vulnerability management, and incident response.
  • Maintain audit-ready documentation for controls and testing.

Skills

Threat modeling
DevSecOps
Cloud security
AI/GenAI risk
Security architecture
Incident response

Tools

Terraform
Kubernetes
CI/CD

Job description

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us.


We are currently seeking a Security / Compliance Engineering to join our team in Jersey City, New Jersey (US-NJ), United States (US).


AI Security & Compliance Engineer

AI/ML Security / GenAI Risk / Cloud Security / DevSecOps

Role purpose

Ensure AI and GenAI systems on AIRP are designed, deployed, and operated securely and in compliance with enterprise technology, cybersecurity, privacy, and regulatory standards. The role covers emerging LLM risks as well as traditional AWS cloud, application, data-security, DevSecOps, and IaC controls.


Client-specific emphasis


  • Security must cover AWS-hosted AIRP, Terraform/IaC templates, CI/CD pipelines, cloud engineering patterns, AI applications, and model/data access controls.

  • The role must help create reusable controls that work across multiple business AI use cases and can support the broader cloud-agnostic blueprint.

  • Power Platform / Copilot Studio governance, data-loss prevention, connector controls, and citizen-development oversight are valuable plus areas.


Primary Ownership


  • Security architecture and control implementation for AI platforms, LLM applications, RAG pipelines, model-serving environments, and agentic systems.

  • Threat modeling, AI red teaming, vulnerability assessment, risk remediation, and secure production approvals.

  • Security evidence, control documentation, and compliance support for AIRP releases, Terraform/IaC, and DevOps pipelines.


Key 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, unauthorized access, and third-party model risk.

  • Implement controls for AWS IAM, encryption, key management, 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, Terraform modules, and deployment pipelines.

  • Review cloud-agnostic IaC templates and AWS-specific deployments for least privilege, secure defaults, segregation of duties, policy compliance, and auditability.

  • Review third-party models, APIs, open-source packages, AI tools, and vendor platforms for security, privacy, model supply-chain, 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, remediation planning, and production-readiness reviews.

  • Maintain audit-ready documentation for controls, testing, risk acceptance, remediation, and production approvals.


Basic Qualifications:


  • 5+ years of experience in cybersecurity, cloud security, application security, DevSecOps, or technology risk.

  • 5+ years of experience securing cloud-native platforms, APIs, microservices, containers, Kubernetes, CI/CD pipelines, and infrastructure-as-code.

  • 5+ years of experience with AWS cloud security exposure or comparable hyperscaler security depth, including IAM, encryption, network controls, logging, secrets, and secure deployment patterns.

  • 3+ years of experience with AI/ML and GenAI-specific risks such as prompt injection, adversarial attacks, data leakage, model misuse, retrieval poisoning, model supply-chain risk, and unsafe tool use.

  • 3+ years of experience with threat modeling, vulnerability management, security testing, incident response, secure SDLC, DevSecOps, and Terraform/IaC controls.


Preferred Experience


  • 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, compliance, privacy, or audit experience.

  • Familiarity with AI red teaming, secure RAG design, LLM gateways, Power Platform governance, Copilot Studio controls, data-loss prevention, and privacy-by-design controls.


NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $104,904 - $182,125 per year. Actual compensation will depend on a number of factors, including the candidate’s relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance.


This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, 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, and additional voluntary or legally-required benefits.


, #DataFID


About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.


Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees.


NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us.


This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

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