Senior Detection Engineer (AI-ML Focus)

Location: Cincinnati General Offices, United States. Candidates should be prepared to consider relocation opportunities throughout their career as business needs and development opportunities arise.

Salary: $110,000–$165,300 per year, plus bonus if applicable and benefits.

Company

Procter & Gamble is a global consumer goods corporation with an enterprise information security organization.

What you will do

• Design, build, test, and tune SIEM and data lake detection rules mapped to MITRE ATT&CK, threat intelligence, and business risk.
• Manage detection content as code through Git branching, pull requests, reviews, and CI/CD deployment pipelines.
• Investigate and suppress false positives, improving alert fidelity and reducing SOC case volume.
• Use AI agents, LLM-assisted workflows, and MCP tooling to accelerate rule development, validation, telemetry analysis, and coverage assessment.
• Collaborate with Threat Intelligence, Threat Hunting, SOC, and data engineering teams on detection handoffs, alert feedback, telemetry quality, and log-source onboarding.
• Develop detections for emerging threats, CVEs, active campaigns, and AI-enabled attacks.

Requirements

• Bachelor’s degree in a technical or IT field and/or at least 5 years of relevant experience in detection engineering, security operations, or threat detection.
• Proven experience writing and tuning SIEM detection rules and analytics.
• Strong understanding of the MITRE ATT&CK framework and detection coverage.
• Proficiency in Python for automation, scripting, and tooling.
• Experience with Git-based workflows and familiarity with EDR, identity, cloud, network, and proxy log sources.
• Immigration sponsorship is not available for this role.

Nice to have

• Detection-as-code experience, including YAML-based Sigma or custom rule formats.
• Knowledge of AI/LLM capabilities and security implications, including MCP servers or AI-assisted development tools.
• Experience with SOAR platforms, multiple query languages, Kubernetes, cloud-native architectures, or OT/ICS environments.
• CISSP, CCSP, OSCP, GCDA, GCIA, or relevant cloud and ML/AI certifications.

Culture & Benefits

• Quarterly review of operational and project deliverables.
• Continuous mentoring and coaching from the manager.
• Total rewards include salary, bonus if applicable, and benefits.
• Equal employment opportunity and applicant accommodation support.