Senior Security Engineer - Cloud & AI Platform

Overview

Own the security of Ema's AI agents and the cloud platform they run on, building controls for autonomous agents that act on sensitive enterprise data across multi-tenant cloud, on-prem and air-gapped deployments.

What you'll do

• Threat model new AI agent features before launch, including direct and indirect prompt injection, jailbreaks, data exfiltration through agent outputs, and over-privileged tool use
• Design guardrails for agentic workflows: least-privilege tool and connector scopes, human-in-the-loop approvals for high-risk actions, and output filtering
• Enforce tenant and data isolation across retrieval (RAG), context stores, and model calls
• Secure the AI supply chain: model and provider vetting, third-party MCP servers and connectors, prompt and config versioning
• Run AI red-team exercises and build automated adversarial tests (prompt injection suites) into CI
• Set security baselines for Kubernetes and cloud infrastructure: RBAC, network policies, workload identity, secrets management, per-tenant network isolation
• Secure CI/CD with IaC scanning, SAST and dependency scanning, and policy-as-code guardrails
• Contribute AI-aware detection: logging prompts, tool calls and agent actions, and alerting on anomalous agent behavior
• Partner with the Security & Compliance Lead on technical controls and evidence for SOC 2 Type II, ISO 27001, HIPAA and ISO 42001, plus the NIST AI RMF

What you'll need

• 5+ years in cloud security, application security, or DevSecOps (GCP/Azure preferred)
• Deep hands-on Kubernetes and cloud security experience
• Security automation with IaC (Terraform/Helm) and Python or Bash
• A working understanding of LLM application risks (OWASP Top 10 for LLM Applications) and how agentic systems fail
• Comfortable influencing engineers without formal authority

Nice to have

• Hands-on experience securing LLM, RAG, or agentic systems in production
• AI red teaming, or familiarity with MITRE ATLAS
• CNAPP/CSPM tooling, SIEM/detection engineering
• Contributions to AI security research, open-source tools, or CTFs

Details

• Location: Bengaluru, India
• Reports to the Security & Compliance Lead and partners directly with Engineering and Product leadership