Staff Engineer, AI Security
T
TwilioCommunications
Remote - IrelandFull-TimeStaff
Salary not disclosed
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Job Details
- Experience
- 8+ years of experience in security engineering with at least 3 years focused on AI or machine learning security operations (MLSecOps).
- Required Skills
- PythonGo
Requirements
- 8+ years of experience in security engineering
- 3+ years focused on AI or machine learning security operations (MLSecOps)
- Expertise in orchestrating multi-agent systems with AWS Strands, LangGraph, and CrewAI
- Specialization in runtime isolation, PII redaction, and defending against indirect prompt injection in agentic environments
- Hands-on experience with AI-specific frameworks (e.g., MITRE ATLAS, MAESTRO, OWASP Top 10 for LLMs/Agents/MCP)
- Ability to threat model and defend against risks including direct/indirect prompt injection, training data poisoning, tool poisoning, and data exfiltration within agentic workflows
- Proficiency in securing end-to-end AI pipelines, from data ingestion and training to model deployment and monitoring
- Strong communication skills to translate complex AI risks into actionable business logic for stakeholders
- Hands-on experience in modern application security tooling including SAST, SCA and DAST with experience adapting these tools to catch AI specific vulnerabilities like indirect prompt injection (Desired)
- Expertise in identity standards including OAuth 2.1 and PKCE (Desired)
- Experience with AI Red Teaming and conducting adversarial simulations against Large Language Models (LLMs) and agentic systems (Desired)
- Proficiency in at least one general programming language (Python, Go, etc.) with experience in container security and workload isolation (Desired)
- Proven ability to operate with autonomy and drive high impact outcomes in ambiguous environments (Desired)
Responsibilities
- Serve as the primary subject matter expert for all AI and machine learning security initiatives across security and R&D.
- Design and manage AI gateways to provide a centralized control plane for authentication and authorization and rate limiting across all model and tool interactions.
- Build and maintain an autonomous security agentic framework that utilizes multi agent orchestration for end to end investigation and alert triage and remediation.
- Develop agentic identity models using OAuth 2.1 to propagate identity across trust boundaries and prevent the confused deputy problem.
- Help govern the AI augmented software development lifecycle by integrating real time security gates into the developer environment and CI/CD pipeline.
- Manage Agentic Security Solutions that secure AI lifecycle and manage AI workloads at runtime.
- Author company wide AI security standards and implement these security checks across Twilio’s stack.
- Implement human in the loop checkpoints and transactional safety protocols for high impact or destructive agentic actions.
- Partner with engineering leadership to set the long term roadmap for identity centric security and automated posture management.
- Act as a knowledge multiplier by mentoring security engineers and developing secure by default paved road templates for R&D teams.
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