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New Mexico, United States
Remote only
Not Available
At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.
Job Description
The Threat Detection & Response Engineer -- Senior Expert defines and builds the technical foundation of that rebuild. This is a hands-on, build-heavy role for an engineer who treats detections as software that is version-controlled, peer-reviewed, tested, and shipped through a pipeline, and above all one who can design and build the AI/ML pipelines that let a global team investigate and respond at machine speed.To stand up a detection-as-code workflow with version control, peer review, staged deployment, and measurable coverage, designed and owned by a principal engineer rather than inherited.
To design and build the AI/ML pipelines that accelerate investigation, triage, and detection generation, the capability area we are most focused on developing.
To prioritize automation and AI-assisted triage for high-volume, low-judgment work such as phishing and DLP, so human attention goes to the investigations that need judgment.
To close the loop between threat intelligence, threat hunting, and detection engineering so that intel and hunt findings reliably become durable detections.
AI/ML Pipelines for Detection & Response
Define, design, and build the AI/ML pipelines at the center of our next-generation D&R capability, applying industry-leading models to investigation, triage, enrichment, and detection generation where they genuinely add leverage.
Own the technical delivery of AI-assisted investigation and triage, spanning data foundations and feature/enrichment pipelines through model selection, evaluation, and safe production deployment.
Set the standard for how AI/ML outputs are validated, explained, and trusted within detection and response workflows, and lead the projects that move promising pilots into durable, measurable production capability.
Detection-as-Code & Engineering Standards
Design and own the detection-as-code pipeline, including repository structure, detection schema, peer-review model, automated testing, and staged (CI/CD) deployment across our SIEM, XDR, and endpoint detection surfaces.
Define the technical standards, reusable patterns, and quality bar for detection content, and build the guardrails that keep quality consistent as the team scales across the US, Ireland, and India.
Build tooling and APIs that let engineers author, test, and debug detections quickly, turning detection engineering into a repeatable software practice rather than console-by-console work.
Automation & Response Engineering
Design automation and SOAR-style workflows, increasingly AI-driven, that collapse high-volume alert categories such as automated phishing campaign clustering and detonation, DLP risk-based routing, enrichment, and auto-closure of verified-benign reports.
Build the response automation, including playbooks, containment actions, and integrations, that shrinks dwell time and mean-time-to-respond.
Coverage, Validation & the Intelligence Loop
Establish and maintain a MITRE ATT&CK coverage baseline; use it to identify real gaps and redundant coverage and to prioritize engineering effort.
Partner with Threat Intelligence and Threat Hunting to convert PIR-driven hunt findings and intel into durable, tested detections through a formal feedback loop.
Stand up continuous validation, such as breach-and-attack simulation and a purple-team cadence, so coverage claims are proven against real adversary techniques rather than asserted on paper.
Technical Project Leadership
Lead the technical projects that build out this capability end-to-end and own accountability for their delivery by scoping the work, driving execution, and being answerable for completion and outcomes.
Serve as the senior-most individual-contributor technical authority for detection engineering, acting as the final technical escalation point before management, setting direction and raising the capability of D&R engineers across regions.
Influence roadmap and tooling decisions with internal platform partners, and help shape the operating model as the function grows across a global follow-the-sun, detection-as-code model.
AI/ML builder. You can design and build AI/ML pipelines that create real leverage by selecting and applying industry-leading models to security data, engineering the data and enrichment foundations they depend on, and putting them into production with clear evaluation and guardrails. You have a grounded point of view on where AI genuinely accelerates detection and response versus where it adds risk.
Builder-first. Detection and response as software: you write, version, test, and ship detections like code, and you have built the tooling, APIs, or pipelines that let others do the same.
Detection depth. Deep, hands-on detection engineering experience across SIEM and EDR/XDR platforms, authoring high-fidelity analytics, tuning for signal, and reasoning about telemetry and data sources. Fluency in KQL / SQL / Sigma or equivalent, and strong scripting/development skills (e.g., Python, Go).
Threat-informed. You map detections to adversary behavior (ATT&CK), partner naturally with hunting and intel, and think in terms of coverage, exploitability, and containment rather than just rule counts.
Delivery ownership. You lead technical projects to completion and own the outcome, setting standards, resolving hard engineering problems, and lifting the quality of everyone around you, comfortable being the deepest technical voice in the room.
Communication. You can explain a detection strategy, an AI/ML design choice, or an engineering trade-off clearly to both engineers and senior leaders.
Hands-on experience building or operating within an AI-assisted / agentic SOC model.
Security data engineering / streaming pipeline experience (telemetry normalization, parsing, ETL) that feeds ML workflows.
Experience across enterprise SIEM, XDR, and EDR platforms.
Purple-team, adversary-emulation, or breach-and-attack-simulation partnership experience.
Financial services, insurance, or other regulated, high-scale environment exposure.
#LI-JJ1
Skills
API Development, Decision Making, Endpoint Detection and Response (EDR), Machine Learning (ML), MITRE ATT&CK Framework, Scalable AI Pipelines, Security Automation, Security Information and Event Management (SIEM), Security Orchestration, Automation, and Response (SOAR), Stakeholder Influence, Technical Project Leadership, Threat DetectionCompensation
Compensation offered for this role is $151,700 – 222,400 annually and is based on experience and qualifications.The candidate(s) offered this position will be required to submit to a background investigation.
Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact.
Allstate generally does not sponsor individuals for employment-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.
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Allstate provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs.
When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating. Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload.
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