💼 Architect/Sr. Manager – Security | Flipkart
🏢 Company: Flipkart
🔐 AI Security | Security Architecture
📝 Job Description
Flipkart is looking for an experienced Architect/Sr. Manager – Security to define and implement enterprise security architecture and controls for AI/ML environments across cloud-native, on-premise, and SaaS-based deployments.
The role focuses on AI security architecture, adversarial defense, data security and privacy, MLOps/LLMOps security guardrails, security strategy, framework mapping, team leadership, and executive advisory.
🎯 Key Responsibilities
1. Reference Architectures
- Design and enforce target-state security architectures for cloud-native, on-premise, and SaaS-based AI/ML deployments.
- Define security patterns for LLM integrations, Retrieval-Augmented Generation (RAG) pipelines, and agentic workflows.
2. Adversarial Defense
- Establish security controls against AI-specific attack vectors.
- Address risks including prompt injection, jailbreaking, training data poisoning, model inversion/extraction, membership inference, and supply-chain vulnerabilities in open-source models and libraries.
3. Data Security & Privacy
- Design zero-trust data boundaries and differential privacy techniques.
- Establish strict Identity & Access Management (IAM) controls for training datasets, vector databases, and inferencing endpoints.
4. MLOps/LLMOps Guardrails
- Embed automated security testing directly into CI/CD and MLOps pipelines.
- Implement red teaming, static/dynamic analysis for ML code, output validation, and shadow AI discovery.
5. People Management
- Direct, mentor, and build a high-performing team of AI Security Engineers and Security Architects.
6. Strategic Roadmap
- Define the enterprise AI Security strategy.
- Establish KPIs and KRIs to track risk reduction while supporting development velocity.
7. Framework Mapping
- Map internal security controls to NIST AI RMF, ISO/IEC 42001, OWASP Top 10 for LLMs, and MITRE ATLAS.
8. Cross-Functional Collaboration
- Partner with Data Science, ML Engineering, Enterprise Architecture, Legal, and Compliance teams.
- Operationalize Responsible AI and privacy requirements including EU AI Act and GDPR requirements.
9. Executive Advisory
- Serve as the subject matter expert on emerging AI risks for the CISO, CTO, and executive risk boards.
🎓 Eligibility
- 13–18 years of relevant professional experience.
- Strong experience in security architecture and AI security.
- Experience designing secure AI/ML architectures across cloud, on-premise, and SaaS environments.
- Understanding of LLM security, RAG pipelines, and agentic workflows.
- Experience with AI-specific security threats and adversarial defense.
- Experience with data security, privacy, IAM, and zero-trust architectures.
- Experience implementing security controls within MLOps/LLMOps environments.
- Experience leading and mentoring security engineering or architecture teams.
🛠️ Required Skills & Competencies
- Security Architecture
- AI Security
- Secure Design
- AI/ML Security
- LLM Security
- RAG Security
- Cloud Security
- IAM & Zero Trust
- MLOps / LLMOps Security
- Data Security & Privacy
- Adversarial AI Defense
- Security Risk Management
🎁 Career Exposure
- Opportunity to work on enterprise-scale AI security architecture.
- Exposure to emerging AI security risks and defensive technologies.
- Opportunity to shape enterprise AI Security strategy and governance.
- Collaboration with Data Science, ML Engineering, Enterprise Architecture, Legal, and Compliance teams.
- Leadership exposure through AI Security engineering and architecture teams.
🚀 About Flipkart
At Flipkart, the focus is on empowering customers through innovation in technology and commerce. Flipkart serves a customer base of over 350 million and offers product coverage across 150+ million products and 80+ categories.
Flipkart is part of the Walmart-owned Flipkart Group, which also includes Flipkart Health+, Myntra, and Cleartrip.
💡 Core Skills
Security Architecture
AI Security
Secure Design
LLM Security
RAG Security
Cloud Security
Zero Trust
IAM
MLOps Security
Data Privacy
AI Risk Management
🎯 Interview Preparation
- Revise AI/ML security architecture across cloud, on-premise, and SaaS environments.
- Prepare to explain LLM integration patterns, RAG pipelines, and agentic workflows.
- Understand AI-specific threats including prompt injection, jailbreaking, model extraction, data poisoning, and membership inference.
- Prepare examples of implementing zero-trust, IAM, and data privacy controls.
- Review MLOps/LLMOps security guardrails, red teaming, output validation, and security testing.
- Be prepared to discuss NIST AI RMF, ISO/IEC 42001, OWASP Top 10 for LLMs, and MITRE ATLAS.
- Prepare examples of security strategy development, KPI/KRI definition, and executive advisory.
- Be ready to discuss team leadership and cross-functional collaboration with technical and business stakeholders.
🚀 How to Apply
Interested and eligible candidates can apply for the Architect/Sr. Manager – Security position through the official Flipkart careers application page.