Role overview

Staff Enterprise Security Engineer, AI Security

Requirements and responsibilities

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Details

  • Design and implement secure reference architectures for Enterprise AI platforms that secures every Twilion’s engagement with them, ensuring data integrity, regulatory compliance, and resilience against evolving AI threats.
  • Establish a definitive framework for AI vetting, driving the cultural and policy shifts needed to institutionalize this strategic mindset across the organization.
  • Collaborate with cross functional partners to develop and set the long term roadmap for agentic AI identity and posture management, ensuring cohesive strategies for reducing risk from agentic AI use.
  • Maintain and improve our enterprise security posture through high-quality code (Python, Go, or similar) and automated infrastructure management via IAC.
  • Act as a technical mentor to junior engineers and a strategic advisor to leadership on the evolving AI landscape.
  • 7+ years of experience in security engineering or infrastructure security
  • 2+ years of experience leading teams in a technical capacity or leading technical risk analysis in an enterprise environment.
  • Expertise in cloud security (AWS, GCP) and container security (Kubernetes).
  • Proven track record of designing and deploying complex security systems at scale.
  • Strong proficiency in programming languages such as Python, Go, or Java.
  • Experience in building, deploying and reviewing automation for complex security workflows, including use of both AI-driven and traditional automation tools.
  • Excellent communication skills with the ability to explain complex AI security risks to non-technical stakeholders.
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Browse stack
FocusSecurityRole area
Seniority signalLeadCandidate level
StackAWS, GCP, JavaPrimary skills
Location1 accepted countryEligibility

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