Detection & Response Engineer (AI Security)

Job Description

Location: Remote 

Contract Duration: 6 months (with possibility of extension)

Contract details: B2B/ PFA or SRL

Role Overview

We are looking for a Detection & Response Engineer to establish operational security visibility and enable rapid response to security incidents impacting AI-driven services and agentic platforms.

This role focuses on building effective security telemetry, high-confidence detections, and incident response capabilities, ensuring the Security Operations Center (SOC) can quickly detect, investigate, and respond to threats from day one.

Key Responsibilities

• Ensure end-to-end security telemetry coverage across solution components and AI platforms, integrating relevant logs, events, and signals into the SIEM (e.g. Splunk, Google Chronicle / SecOps).

• Design and deliver high-confidence detection use cases to identify misuse, compromise, or anomalous behavior affecting:

  • AI agents and orchestration components

  • APIs and service-to-service communication

  • data flows and platform integrations

• Develop, test, and maintain incident response playbooks tailored to AI-driven services, supporting rapid containment and recovery.

• Enable the SOC with:

  • actionable and prioritized alerts

  • clear response workflows

  • operational guidance for AI-related incidents

• Continuously improve detection and response effectiveness, reducing mean time to detect (MTTD) and mean time to respond (MTTR).

• Ensure all activities comply with project confidentiality requirements, including adherence to the project NDA.

Required Skills & Experience

• Proven experience in Detection Engineering, Incident Response, or SOC Engineering roles

• Hands-on experience working with SIEM platforms (e.g. Splunk, Google Chronicle / SecOps)

• Strong understanding of security telemetry, logging strategies, and alert design

• Experience developing and validating incident response playbooks

• Good understanding of modern, cloud-based and distributed systems

• Ability to analyze anomalous behavior across APIs, services, and data flows

Nice-to-Have

• Experience with AI-enabled or agent-based platforms

• Familiarity with SOAR tooling and automated response workflows

• Experience supporting production security operations in complex environments