3 months ago
Chennai, IndiaSenior
Responsibilities
- Design and implement runtime guardrails, safety architectures, input/output controls, prompt-injection detection, and policy-enforcement mechanisms for LLM and agentic AI systems.
- Lead red-teaming and adversarial testing initiatives to identify and remediate jailbreaks, prompt injections, trust-boundary violations, and other vulnerabilities.
- Build and operationalize AI governance and compliance frameworks, translating regulations and standards into enforceable engineering controls.
- Develop and deploy evaluation pipelines for hallucination detection, groundedness validation, fairness, bias, and subgroup performance.
- Establish observability and auditability through structured logging, audit trails, governance metrics, monitoring, and incident-response processes.
- Collaborate with AI engineers, architects, security, legal, risk teams, and client stakeholders, including presenting technical risks and recommendations to senior stakeholders.
Requirements
- Experience in software engineering or ML engineering with hands-on exposure to AI safety, governance, or trust engineering.
- Proven experience building and deploying LLM or agentic AI systems in enterprise or regulated environments.
- Strong expertise in at least two areas including guardrails engineering, red teaming, bias and fairness evaluation, and AI regulatory compliance.
- Working knowledge of the EU AI Act, NIST AI RMF, ISO/IEC 42001, or sector-specific compliance standards.
- Strong Python programming skills and experience building evaluation pipelines, observability systems, or AI governance tooling.
- Ability to translate technical AI risks into actionable insights for business leaders and collaborate with security, legal, and risk stakeholders.
- Excellent communication and executive-level presentation skills with experience presenting to senior client stakeholders.
- Preferred experience conducting red-team assessments on production AI systems and remediating critical vulnerabilities.
- Preferred experience producing audit-ready AI governance and compliance documentation for external or regulatory review.
- Preferred experience integrating fairness, safety evaluation, and monitoring pipelines into CI/CD workflows.
- Exposure to enterprise AI tooling such as NeMo Guardrails, Giskard, Arize, LangChain, or LangGraph.
Benefits
- Onsite work five days per week at a Cognizant office in Chennai, Bangalore, or Hyderabad.
- Cognizant offers flexibility where possible and wellbeing programs supporting work-life balance; arrangements may change based on project and client requirements.
About Cognizant
Cognizant is a public IT services and consulting firm that designs, builds, and runs enterprise technology, including digital engineering, cloud modernization, data/AI, and managed services. It sells consulting, systems integration, and outsourcing on multi-year engagements to large enterprises in healthcare, banking, retail, communications, and manufacturing. Founded in 1994 and headquartered in Teaneck, New Jersey, Cognizant is NASDAQ-listed (CTSH) and a Fortune 500 company.