Sr. SIEM AI Architect
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Location
Los Angeles, CA
Full Remote
Full Remote
Type
Contract
Salary
$100 - $140
/ hr
ID
j-13036
Posted
Jun 26, 2026
Overview
We are seeking a Sr. SIEM AI Architect to design and build a cloud-native security analytics and observability platform. This is a hands-on architecture role responsible for designing scalable telemetry pipelines, security monitoring capabilities, and enterprise SIEM solutions across modern cloud environments.
This is not a SIEM administrator or project management role. The ideal candidate is a senior technical architect who can design end-to-end solutions, make architectural decisions, and work closely with security, cloud, platform, and engineering teams to deliver highly scalable, resilient systems.
Key Responsibilities
- Design and implement enterprise-scale SIEM and observability platforms.
- Architect scalable log collection, telemetry ingestion, and data processing pipelines from cloud platforms, applications, APIs, and security tools.
- Develop standardized telemetry models, data normalization, and enrichment strategies.
- Build high-throughput streaming architectures for security analytics and real-time monitoring.
- Design detection capabilities, correlation rules, behavioral analytics, alerting, and risk scoring frameworks.
- Support multi-cloud environments across AWS, Azure, and GCP.
- Develop resilient, highly available platform architectures with strong scalability, security, and governance.
- Partner with Security, Cloud Engineering, DevOps, Data Engineering, and Application Development teams to deliver enterprise observability solutions.
- Provide technical leadership, architecture guidance, documentation, and best practices for SIEM and observability initiatives.
Required Qualifications
- 10+ years of experience in SIEM architecture, security engineering, cloud security, observability, or platform engineering.
- Hands-on experience with enterprise SIEM platforms such as Splunk, Microsoft Sentinel, Elastic, Chronicle, or similar technologies.
- Experience designing large-scale log ingestion, telemetry, and security analytics platforms.
- Strong experience with cloud platforms including AWS, Azure, and/or GCP.
- Experience with streaming technologies such as Kafka, Kinesis, Event Hub, Pub/Sub, Flink, or similar.
- Experience with OpenTelemetry and modern observability frameworks.
- Knowledge of Kubernetes, microservices, distributed systems, and cloud-native architectures.
- Experience building detection logic, correlation rules, alerting, and security monitoring capabilities.
- Strong understanding of scalable platform design, security best practices, and enterprise architecture.
- Excellent communication and collaboration skills.
Preferred Qualifications
- Experience with AI/ML-driven anomaly detection or behavioral analytics.
- Familiarity with Infrastructure as Code (IaC) and platform automation.
- Knowledge of MITRE ATT&CK, threat detection methodologies, and security analytics.
- Experience building enterprise-scale, multi-tenant SaaS platforms.
Ideal Candidate
- Senior hands-on architect with strong SIEM and cloud expertise.
- Experienced designing scalable telemetry and observability platforms.
- Comfortable working across security, cloud, engineering, and DevOps organizations.
- Able to balance technical architecture leadership with hands-on implementation.
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