Senior Security Engineer - Cloud & AI Platform

About Ema

Ema builds AI agents that act on sensitive enterprise data and systems. You’ll make sure the agents, and the platform they run on, are secure by design. You’ll build security controls for autonomous agents operating across multi-tenant enterprise environments, including cloud, on-prem and air-gapped deployments.

You’ll solve zero-trust problems where the code isn’t static logic but non-deterministic models making live API calls against sensitive customer data. Our agents orchestrate 100+ LLMs, call third-party tools through MCP, execute code in sandboxes and drive headless browsers, and each of those is an attack surface you’ll help define.

Role Overview

What you’ll own

AI and agent security

• Threat model new AI agent features before launch: 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, so no customer’s data leaks into another’s context
• 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

Cloud and platform security

• Security baselines for Kubernetes and cloud infrastructure: RBAC, network policies, workload identity, secrets management, per-tenant network isolation
• Security in CI/CD: IaC scanning, SAST and dependency scanning, policy-as-code guardrails

What you’ll contribute to

• AI-aware detection with our current technology and tooling: 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

Must-haves

• 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-haves

• 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

Why Join Ema?

• At the frontier of AI: Secure agentic systems that are driving real enterprise transformation.
• Security is the product: Enterprise CISOs evaluate our security before they buy. Here it’s a core feature, not a checkbox.
• Security as a peer, not a gate: You’ll report to the Security & Compliance Lead and partner directly with Engineering and Product leadership. You’ll sit in design reviews from day one and have a real say in what ships.
• Ownership: Help set the baseline for enterprise trust in AI agents and shape the security DNA of a category-defining company.
• Elite talent: Work with engineers and researchers from top-tier tech companies who value deep execution

Ema's Culture & Values

• High Bar on Quality: We value excellence and expect world-class execution.
• Ownership & Accountability: We take full responsibility for our work and outcomes.
• Impact-Driven Approach: We set ambitious goals and measure success through real-world impact.
• No Hierarchy, Just Execution: Everyone is an individual contributor focused on delivering results.

Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.