Senior Cybersecurity AI Engineer

Visa Visa · Fintech · Warsaw, Poland, Poland

Visa is seeking a Senior Cybersecurity Engineer with expertise in endpoint security solutions and AI/ML techniques. The role involves designing, deploying, and supporting security technologies, applying GenAI/ML methods to endpoint telemetry for threat detection, and implementing LLM-powered services like RAG at production scale. The engineer will also be responsible for automation, detection engineering, and large-scale telemetry analysis within the cybersecurity domain.

What you'd actually do

  1. Apply GenAI/ML methods (e.g., anomaly detection, supervised models, heuristics with feature engineering) to endpoint telemetry for threat detection, and other cybersecurity endpoint engineering use cases, from efficacy to operational efficiency, evaluate model performance and drift.
  2. Provide engineering solutions to new threats leveraging implemented endpoint tools and identify gaps where improvement and/or new controls are needed.
  3. Take part in the design, build and run of a variety of endpoint security implementations in a diverse and complex environment, taking ownership of each initiative and producing successful outcomes.
  4. Work with other Cyber Security teams to manage endpoint security prevention effectively and efficiently. In doing so work closely with research team, undertake research of threat vectors, and provide mitigation strategies.
  5. Implement security and threat protection controls protect data and applications using a diversity of cloud and on-prem Endpoint security tools.

Skills

Required

  • Python
  • GenAI (Engineering)
  • Hands-on experience implementing LLM-powered services / retrieval-augmented generation (RAG) at production scale: document ingestion pipelines, chunking/embedding strategies, vector databases and relevance tuning.
  • Knowledge of Operating systems internals, hardening, and monitoring (Windows and UNIX)
  • Knowledge of TCP/IP network fundamentals.

Nice to have

  • EDR
  • AV
  • privilege management
  • application control
  • ringfencing solutions
  • Windows/MacOS security features
  • scripting languages

What the JD emphasized

  • applying AI/ML techniques to endpoint security use cases
  • GenAI/ML methods
  • LLM-powered services / retrieval-augmented generation (RAG) at production scale

Other signals

  • applying AI/ML techniques to endpoint security use cases
  • Apply GenAI/ML methods to endpoint telemetry for threat detection
  • evaluate model performance and drift
  • implementing LLM-powered services / retrieval-augmented generation (RAG) at production scale