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As a Staff Enterprise Security Engineer, you will be a technical leader within the EntSec team, responsible for the foundational security posture of our organization. You will serve as an SME on the technical strategy and engineering execution for securing the AI ecosystem in our Enterprise, moving beyond policy into building the foundational "decision infrastructure" and technical guardrails that allow the enterprise to innovate with AI at scale. You will also guide strategic direction and collaboration across enterprise security domains. You will need a background in security engineering and the cross-functional influence necessary to solve ambiguous, large-scale problems. Leveraging expertise in security assessments, threat modeling, identity and access control principles, and data protection, you will architect and build preventative guardrails and mitigate new risks introduced by first and third-party AI agents in our Enterprise.
Job Responsibility:
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
Requirements:
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
Nice to have:
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