22 days ago
Bengaluru, IndiaSenior / Staff+
Responsibilities
- Design and implement security architectures and controls for agentic AI, autonomous AI, and multi-agent systems.
- Assess risks involving AI agents, orchestration, tool use, enterprise applications, APIs, external systems, and autonomous decision-making.
- Secure LLMs, foundation models, and generative AI solutions against prompt injection, jailbreaks, data leakage, poisoning, extraction, theft, adversarial manipulation, and hallucination risks.
- Assess Retrieval Augmented Generation and AI agent frameworks.
- Conduct AI red teaming, penetration testing, adversarial attack design, and security-control validation.
- Develop AI governance frameworks, responsible AI controls, security policies, risk-management practices, and regulatory compliance support.
- Define prompt guardrails, content moderation, data-protection controls, human-in-the-loop approvals, model access controls, and AI risk monitoring.
- Analyze AI security telemetry and threat-intelligence datasets and develop predictive models and anomaly-detection capabilities.
- Evaluate model robustness, explainability, fairness, and resilience while collaborating with SOC, Threat Intelligence, and Security Engineering teams.
Requirements
- 8-10 years of experience is stated in the mandatory skills section; the overview also references 10-14 years of experience.
- Mandatory data privacy experience.
- Expertise in AI security engineering, LLM security, AI red teaming, AI governance frameworks, and security data science.
- Experience securing AI agents, multi-agent ecosystems, autonomous systems, LLMs, foundation models, generative AI, and RAG frameworks.
- Experience with AI threat modeling, adversarial testing, AI penetration testing, attack-path analysis, and security control implementation.
- Knowledge of MITRE ATLAS, MITRE ATT&CK, and OWASP Top 10 for LLM Applications.
- Ability to apply data science and machine learning techniques to cybersecurity and assess model robustness, explainability, fairness, and resilience.
Categories
About Wipro
Wipro is a global IT services and consulting firm that provides application development, cloud migration, infrastructure management, data/AI, and business process outsourcing for enterprises. It earns revenue through long-term outsourcing, managed services, and project-based consulting across multiple industries. Founded in 1945 and headquartered in Bangalore, India, Wipro is publicly traded (NYSE: WIT; NSE/BSE: WIPRO).