Chamberlain Group

AI Engineering Manager

Oak Brook, IL

Sponsorship not specified$103k-$193kDetected 20 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 Group's careers page and normalized into a canonical job model.