Related skills
aws machine learning langgraph crewai maestroπ Description
- Lead autonomous defense for the AI lifecycle.
- Build multi-agent frameworks and secure gateways.
- Integrate real-time security gates and identity standards.
- Mentor Security and R&D to define the MLSecOps roadmap.
- Ensure secure-by-default workflows for agentic AI.
π― Requirements
- 8+ years in security engineering; 3+ years in AI security operations.
- Expertise in multi-agent systems with AWS Strands, LangGraph, and CrewAI.
- Hands-on with AI frameworks (MITRE ATLAS, MAESTRO, OWASP Top 10 for LLMs/Agents).
- Proficiency securing end-to-end AI pipelines from data to deployment and monitoring.
- Strong communication translating AI risks into actionable business logic.
- Familiar with integrating real-time security gates into CI/CD and developer environments.
π Benefits
- Travel occasionally for in-person team meetings.
- Competitive pay and location-based benefits varies by location.
- Generous time off, parental and wellness leave.
- Healthcare coverage.
- Retirement savings program.
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