About Cognizant Corporate
Cognizant Corporate is a global community united by a shared purpose: to make a meaningful impact. We are committed to excellence and driven by outcomes that matter. Collaboration is at the heart of how we work, and our forward-thinking mindset fuels continuous learning, innovation, and growth.
At Cognizant, careers transcend titles. We empower our people to think strategically, inspire others, and lead with purpose, always guided by our core values. Join us in shaping future of business. Could you be the one to make a difference?
About the role
As an AI Security Solution Architect - Guardrail Engineering & Adversarial Validation, you will drive impactful contributions and focus on outcomes. You will be a key member of the AI Security Engineering & Enablement (AISE) team, collaborating with platform security architects, hyperscaler architects, delivery teams, DevSecOps teams, AI workload owners, and security stakeholders. You will have the autonomy to lead, innovate, and improve workflows while upholding our commitment to quality and continuous learning. As a team of self-starters, you can work with impact with our vibrant people and culture while enjoying unmatched learning opportunities.
In this role, you will:
- Design, build, and maintain AISE’s guardrail library, including reusable prompt sanitization SDKs, output filtering functions, PII/PHI redaction modules, and topic boundary enforcement components.
- Develop and maintain AISE’s adversarial test automation framework covering OWASP LLM Top 10 and MITRE ATLAS TTPs, including prompt injection, indirect prompt injection, RAG exfiltration, jailbreak, model extraction, agent abuse, and supply chain attacks.
- Operate AISE’s adversarial validation tollgate by running adversarial tests against AI workloads submitted for production review, documenting findings and severity, issuing residual risk statements, and supporting production approval decisions.
- Integrate AI security controls into DevSecOps pipelines by building pipeline stages that enforce prompt validation, dependency scanning, model integrity checks, and AI workload security requirements.
- Engineer reusable AI security capabilities, including IaC security modules, SIEM telemetry, anomaly signatures, detection logic, and implementation-ready recommendations for AI development pipelines.
Embrace our vibrant culture by striving for excellence, focusing on meaningful outcomes, and collaborating effectively. Prioritize quality, stay curious, and commit to continuous learning. Take ownership, build relationships, and focus on personal growth to drive business strategy, creating unmatched career opportunities and impactful work.
What you must have to be considered
- 10+ years of experience in security engineering or application security, including 3+ years directly in AI/ML security, red team, or AI security tool development.
- Hands-on development experience with the ability to write and ship production Python, with TypeScript or Go experience preferred.
- Direct experience integrating or extending at least two AI security tools such as Garak, PyRIT, LLM Guard, Presidio, NeMo Guardrails, Lakera Guard, or equivalent tools.
- Practical experience executing prompt injection, indirect prompt injection, and jailbreak attacks against real LLM applications in red team, research, or CTF environments.
- Experience with RAG pipeline security, including retrieval-based data exfiltration, embedding inversion, vector store poisoning, and related defense patterns.
- Experience with agentic system adversarial testing, including agent loop hijacking, tool abuse, and privilege escalation in multi-agent orchestration frameworks.
- Solid understanding of OWASP LLM Top 10 and MITRE ATLAS, with the ability to map TTPs to concrete adversarial test cases.
- Experience integrating security into CI/CD pipelines such as GitHub Actions, Azure DevOps, or Jenkins by building security pipeline stages.
- A strong sense of ownership, desire to create meaningful outcomes, and passion for work that serves a greater good for customers, communities, or global challenges.
These will help you succeed
- Experience developing SIEM detection logic for AI workloads, including Sigma rules, KQL, or SPL queries for AI-specific anomaly detection.
- IaC security experience, including writing or reviewing Terraform or Bicep modules with security controls encoded.
- Familiarity with LangChain, LangGraph, LlamaIndex, or Semantic Kernel at the code level, including how these frameworks handle tool calls, memory, and retrieval.
- Published research, CVE disclosures, blog posts, conference talks, or other externally recognized contributions in AI or LLM security.
- Experience in a security engineering or red team function within a large enterprise or consulting organization.
- Ability to communicate adversarial findings to senior security leaders while partnering directly with development teams to implement mitigations.
Work model - Hybrid
We strive to provide flexibility wherever possible. Based on this role’s business requirements, this position is hybrid with 2-3 days work from office. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured, we will always be clear about role expectations.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
