Chamberlain
AI Engineering Manager
Oak Brook, IL
Sponsorship not specified$103k-$193kDetected 14 days ago
PythonCode ReviewElasticsearchAWSCI/CDDatadogMachine LearningLLMsRAGAgentic AIMLOpsAI OrchestrationA/B TestingStakeholder ManagementCadenceTest AutomationLeadershipCommunicationMentoringPipeline Integrity
About the role
- Chamberlain Group (CG) is a global leader in intelligent access and Blackstone portfolio company.
- Powered by our myQ technology, we make access simple and secure for millions of homeowners, businesses, and communities worldwide.
- Our flagship brands, LiftMaster® and Chamberlain®, are found in 51+ million homes, and 14 million+ people rely on the myQ® app daily.
Responsibilities
- Own end-to-end engineering delivery of the real-time data serving infrastructure, including data serving layers, search indexes, and online feature delivery
- Drive engineering reliability and scalability of the real-time model serving infrastructure
- Lead engineering delivery of the agentic interface end-to-end
- Own LLM orchestration architecture for dialogue management, context handling, and session continuity
- Own customer insight modeling pipeline and ensure high accuracy
- Manage sprint-cadence delivery across engineering teams with clear ownership, unblocking, and accountability
- Work closely with cross-functional teams across architecture, product, AI/ML ops, and the Video Intelligence team to manage feature and data dependencies
- Drive observability standards: APM span hierarchy, cost monitoring, escalation rate tracking, and alert thresholds
- Lead drift detection, confidence scoring pipeline monitoring, and production rollback readiness
- Develop and grow Senior Engineers into technical leads who can carry day-to-day team ownership, while maintaining direct coaching relationships across the full team
Requirements
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field
- 7+ years of software engineering experience, including 3+ years in an engineering leadership or management role
- Master's degree in Computer Science, Computer Engineering, or related field
- Experience in IoT, smart home, or consumer device ecosystems where AI operates at or near the edge
- Experience with ML behavioral modeling, anomaly detection, or time-series analysis
- Experience managing distributed engineering teams spanning geographies and employment models
- Proven track record delivering production APIs with strict SLA requirements (uptime and observability standards).
- Knowledge, Skills, and Abilities:
- Familiarity with ML anomaly detection techniques: behavioral baselines, scoring pipelines, false-positive management
- Experience with production observability tooling (Datadog APM or equivalent): span tracing, cost monitoring, alert threshold management
Skills
- Familiarity with OpenSearch, pgvector, or equivalent embedding index infrastructure
- Understanding of A/B experimentation infrastructure and feature flag-driven rollout strategies
- Experience with ArgoCD, CI/CD pipelines, and gradual traffic ramp strategies for ML model deployments
Compensation
- The pay range for this position is $102,600.00 - $193,425.00; base pay offered may vary depending on a number of factors including, but not limited to, the position offered, location, education, training, and/or experience.
Benefits
- Prepare and deliver team health updates and milestone reviews to leadership
- Comply with health and safety guidelines and rules; managers should also ensure compliance across their teams
- Maintain professional and technical knowledge by attending educational workshops, reading professional publications, establishing personal networks, and participating in professional societies
- Lead machine learning pipeline engineering that surfaces insights about connected home usage patterns
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This listing is sourced directly from Chamberlain's careers page and normalized into a canonical job model.