Senior AI Security Platform Engineer — Threat Detection

Jobtailor

San Francisco (CA)

On-site

USD 170,000 - 260,000

Full time

11 days ago
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Job summary

Jobtailor in San Francisco, CA seeks an experienced engineer to design and build AI-enhanced threat detection systems. You will integrate security data, signals, and context with foundation models to predict threats and decode events at scale.

You will prototype AI features, validate real-world utility with security SMEs, and craft an AI DevOps pipeline for rapid experimentation. The role targets SF’s high-demand AI security landscape.

Qualifications

  • Bachelor's or Master's with required years of related experience.
  • Designing distributed systems with storage layers and data platforms.
  • Proficiency in Python for backend services and automation.
  • Experience with CI/CD, GitHub/GitLab, and Jira.
  • Experience with security telemetry sources and threat data.

Responsibilities

  • Design and build systems combining security data, detection signals, and context.
  • Prototype and test AI features for event decoding and threat prediction.
  • Collaborate with security SMEs and researchers to validate utility.
  • Develop an AI DevOps pipeline for rapid experimentation.
  • Architect a distributed platform correlating trillions of events.
  • Synthesize signals into explainable findings for triage agents.
  • Collaborate with product and platform teams on scalable workflows.
  • Contribute to AI-native security operations architecture.

Skills

Python development
Distributed systems
CI/CD Pipelines
Security telemetry sources
AI-powered feature integration

Education

Bachelor's degree + 8+ years
Master's degree + 6+ years

Tools

GitHub
GitLab
Jira
Splunk API
FAISS
Pinecone

Job description

Jobtailor in San Francisco, CA seeks an experienced engineer to design and build AI-enhanced threat detection systems. You will integrate security data, signals, and context with foundation models to predict threats and decode events at scale.

You will prototype AI features, validate real-world utility with security SMEs, and craft an AI DevOps pipeline for rapid experimentation. The role targets SF’s high-demand AI security landscape.

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