Senior Detection Engineer (AI-ML Focus)

Procter & Gamble; United States; On-site; USD 110,000 - 165,000; Full time

Job summary

Procter & Gamble in Cincinnati is seeking a Senior Detection Engineer to join the InfoSec Cyber Defense Technology team. You will design, tune, and scale detection across enterprise SIEM platforms, combining traditional rules with agentic AI workflows to accelerate threat detection development and validation.

The role emphasizes collaboration with Threat Intelligence, Threat Hunting, and SOC teams, with hands-on work writing detection logic, managing content as code, and improving alert fidelity

Qualifications

• Required: Bachelor’s degree in Information Systems, Information Technology (IT), Computer Science, Engineering, or other technical / IT field and / or at least 5+ years of relevant experience in detection engineering, security operations, or threat detection roles
• Proven experience writing and tuning SIEM detection rules/analytics (correlation rules, scheduled queries, real‑time alerts)
• Strong understanding of MITRE ATT&CK framework and its application to detection coverage
• Proficiency in Python for automation, scripting, and tooling
• Experience with git-based workflows (branching, PRs, CI/CD) for managing security content
• Familiarity with security log sources: EDR, identity, cloud, network, proxy
• Preferred: CISSP, CCSP, OSCP, GCDA, GCIA; cloud & ML/AI certifications
• Experience with detection‑as‑code practices and YAML‑based rule formats (Sigma, custom schemas)
• Working knowledge of AI/LLM capabilities and their security implications
• Experience with MCP servers, GitHub Copilot, or other AI‑assisted development workflows
• Familiarity with SOAR platforms and their integration with detection pipelines
• Understanding of Kubernetes, cloud‑native architectures, and OT/ICS environments

Responsibilities

• Design, build, test, and tune detection rules mapped to MITRE ATT&CK, prioritized by threat intelligence and business risk
• Write detection logic across the SIEM and data lake platforms
• Manage detection content as code — Git-based workflows, PR reviews, CI/CD deployment pipelines
• Investigate and suppress false positives systematically using lookup‑based architectures
• Collaborate with Threat Hunting and Threat Intelligence teams through structured handover processes (TI→TH→DE pipeline)
• Monitor emerging threats and rapidly develop detections for new TTPs, CVEs, and active campaigns
• Leverage AI agents and LLM‑assisted workflows to accelerate detection rule development, validation, and coverage analysis
• Use and contribute to MCP tooling that enables AI‑assisted detection validation
• Operate agentic pipelines that triage large rule libraries against live telemetry at scale
• Apply AI/ML techniques where appropriate for anomaly detection, behavioral analytics, or pattern identification in security datasets
• Stay current on frontier AI threats and translate them into detection opportunities
• Work closely with SOC analysts to understand alert quality feedback and drive fidelity improvements
• Collaborate with data engineers on telemetry availability, data quality, and log source onboarding
• Contribute to detection coverage reporting and MITRE ATT&CK posture measurement
• Document detection logic, tuning rationale, and suppression decisions

Skills

Python

SIEM

Git workflows

CI/CD

Threat Hunting

Threat Intelligence

MITRE ATTACK

AI tooling

Kubernetes

MCP tooling

Education

Bachelor’s degree in Information Systems/IT/CS/Engineering

Tools

GitHub Copilot

Sigma

Sigma rules

MCP servers

SOAR platforms

Job description

Job Location CINCINNATI GENERAL OFFICES Job Description At P&G, we believe that diverse experiences help build strong leaders. Mobility is a key component of many management careers, providing opportunities to grow through different assignments, locations, and business challenges. Candidates should be prepared to consider relocation opportunities throughout their career as business needs and development opportunities arise. The Senior Detection Engineer plays a vital role in InfoSec's Cyber Defense Technology team, responsible for building, tuning, and scaling detection capabilities across enterprise SIEM platforms. This role operates at the intersection of detection engineering and AI — using agentic AI tooling and LLM-assisted workflows to accelerate threat detection development, validation, and coverage analysis. You will work within a threat-informed detection pipeline where intelligence drives what we detect, and AI agents assist in rule creation, validation, and optimization. The role is hands‑on: writing detection logic, managing detection‑as‑code via git, collaborating with Threat Intelligence and Threat Hunting teams, and continuously improving alert fidelity.

Key Success Metrics

Your success would be based on operational and project deliverables, which would be reviewed on a quarterly basis. Your manager would provide full‑support though continuous mentoring and coaching

Detection rules you write catch real threats and generate minimal noise. You measurably improve alert fidelity (TP rate) and reduce SOC case volume. You operate independently within the detection‑as‑code workflow (branch → validate → deploy). You leverage AI tooling to work faster – not as a research project, but as a daily force multiplier. Quarterly deliverables reviewed with your manager through continuous mentoring and coaching.

Job Responsibilities

Detection Engineering

• Design, build, test, and tune detection rules mapped to MITRE ATT&CK, prioritized by threat intelligence and business risk
• Write detection logic across the SIEM and data lake platforms
• Manage detection content as code — Git-based workflows, PR reviews, CI/CD deployment pipelines
• Investigate and suppress false positives systematically using lookup‑based architectures
• Collaborate with Threat Hunting and Threat Intelligence teams through structured handover processes (TI→TH→DE pipeline)
• Monitor emerging threats and rapidly develop detections for new TTPs, CVEs, and active campaigns

AI-Augmented Detection (Differentiator)

• Leverage AI agents and LLM‑assisted workflows to accelerate detection rule development, validation, and coverage analysis
• Use and contribute to MCP (Model Context Protocol) tooling that enables AI‑assisted detection validation (e.g., querying telemetry, assessing LOLBAS/GTFOBins, checking coverage gaps)
• Operate agentic pipelines that triage large rule libraries against live telemetry at scale
• Apply AI/ML techniques where appropriate for anomaly detection, behavioral analytics, or pattern identification in security datasets
• Stay current on frontier AI threats (agentic attacks, LLM‑assisted exploitation, AI‑generated phishing) and translate them into detection opportunities

Collaboration & Operations

• Work closely with SOC analysts to understand alert quality feedback and drive fidelity improvements
• Collaborate with data engineers on telemetry availability, data quality, and log source onboarding
• Contribute to detection coverage reporting and MITRE ATT&CK posture measurement
• Document detection logic, tuning rationale, and suppression decisions

Job Qualifications Technical Competencies and Experience

• Required: Bachelor’s degree in Information Systems, Information Technology (IT), Computer Science, Engineering, or other technical / IT field and / or at least 5+ years of relevant experience in detection engineering, security operations, or threat detection roles
• Proven experience writing and tuning SIEM detection rules/analytics (correlation rules, scheduled queries, real‑time alerts)
• Strong understanding of MITRE ATT&CK framework and its application to detection coverage
• Proficiency in Python for automation, scripting, and tooling
• Experience with git‑based workflows (branching, PRs, CI/CD) for managing security content
• Familiarity with security log sources: EDR, identity, cloud, network, proxy
• Strong analytical skills and ability to distinguish true threats from noise in large datasets
• Preferred: Certifications CISSP, CCSP, OSCP, GIAC Certified Detection Analyst (GCDA), GCIA, Relevant certifications in cloud & ML/AIExperience with multiple query languages are helpful but not required
• Experience with detection‑as‑code practices and YAML‑based rule formats (Sigma, custom schemas)
• Working knowledge of AI/LLM capabilities and their security implications — both as detection targets and as engineering tools
• Experience with MCP servers, GitHub Copilot, or other AI‑assisted development workflows
• Familiarity with SOAR platforms and their integration with detection pipelines
• Understanding of Kubernetes, cloud‑native architectures, and OT/ICS environments

Compensation for roles at P&G varies depending on a wide array of non‑discriminatory factors including but not limited to the specific office location, role, degree/credentials, relevant skill set, and level of relevant experience. At P&G compensation decisions are dependent on the facts and circumstances of each case. Total rewards at P&G include salary + bonus (if applicable) + benefits.

We are committed to providing equal opportunities in employment. We value diversity and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Immigration Sponsorship is not available for this role.

Procter & Gamble participates in E-Verify.

Qualified individuals will not be disadvantaged based on being unemployed.

P&G is dedicated to meeting the needs of applicants requesting an accommodation/adjustment due to a disability in order to complete the online application process.

If you have a disability that affects your ability to complete our online application process, please visit our Disability Accommodation Page.

Job Schedule Full time

Job Number R000155624

Job Segmentation Experienced Professionals

Starting Pay / Salary Range $110,000.00 - $165,300.00 / year

P&G was founded over 180 years ago as a simple soap and candle company. Today, we’re the world’s largest consumer goods company and home to iconic, trusted brands that make life a little bit easier in small but meaningful ways. We’ve spanned three centuries thanks to three simple ideas: leadership, innovation and citizenship. The insight, innovation and passion of talented teams has helped us grow into a global company that is governed responsibly and ethically, that is open and transparent, and that supports good causes and protects the environment. This is a place where you can be proud to work and do something that matters.