AI Engineering Manager

The Chamberlain Group LLC; South Carolina; On-site; USD 102,600 - 193,425; Full time

Benefits offered by this job

401(k) contribution

Comprehensive benefits package

Short-term incentive plan

Job summary

The Chamberlain Group LLC is seeking an Engineering Lead to oversee AI initiatives and manage a distributed engineering team. This role requires a strategic mindset and hands-on leadership in developing and delivering robust engineering solutions.

With a focus on real-time data serving and machine learning, the ideal candidate will drive engineering projects that enhance customer experiences in intelligent home technology. A strong educational background in technology and a proven record in leadership are essential.

Qualifications

• 7+ years of software engineering experience with 3+ years in leadership.
• Experience managing distributed engineering teams.
• Strong software engineering fundamentals with a focus on real-time applications.

Responsibilities

• Lead engineering delivery of data serving infrastructure.
• Manage sprint cadence delivery across teams.
• Develop Senior Engineers into technical leads.

Skills

Leadership in engineering

Real-time serving architecture

Machine learning pipelines

Software engineering (Python)

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Datadog APM

ML orchestration frameworks

Job description

Job Overview

Chamberlain Group is a global leader in intelligent access. This role is within our Engineering Function and leads engineering teams focused on building and delivering AI capabilities that power intelligent, connected home experiences for our customers. The position is US-based and manages a distributed engineering team.

Job Responsibilities

• Own end-to‑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.
• Lead machine learning pipeline engineering that surfaces insights about connected home usage patterns.
• 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.
• Prepare and deliver team health updates and milestone reviews to leadership.
• Operate fluidly as a first‑line or second‑line manager depending on project needs—directly managing engineers when hands‑on delivery leadership is required, and leading through senior engineers who manage their own teams in steadier execution phases.
• 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.
• Lead hiring and onboarding of engineers.
• Build a high‑trust, high‑velocity team culture.
• Comply with health and safety guidelines and rules; managers should also ensure compliance across their teams.
• Protect Chamberlain Group’s reputation by keeping information confidential.
• Maintain professional and technical knowledge by attending educational workshops, reading professional publications, establishing personal networks, and participating in professional societies.
• Contribute to the team effort by accomplishing related results and participating on projects as needed.

Job 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.
• Demonstrated ownership of real‑time serving infrastructure and machine learning pipelines at production scale: low‑latency APIs, feature stores, embedding indexes, model serving, or online scoring layers.
• Experience building or leading LLM‑powered or agentic systems: conversational AI, LLM orchestration, retrieval‑augmented generation (RAG), or dialogue management.
• 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).
• Strong software engineering fundamentals: production‑quality Python, system design, code review practices, and automated testing.
• Deep understanding of real‑time serving architecture: API gateway patterns, vector search, and feature store read paths.
• Working knowledge of LLM orchestration frameworks (LangChain or equivalent), retrieval‑augmented generation pipelines, prompt engineering, and AI agent workflow design.
• 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.
• Strong communication and stakeholder management skills—comfortable bridging distributed engineering execution with product and AI leadership.
• Ability to operate with autonomy in a fast‑moving environment; capable of defining process where none yet exists.
• Ability to travel up to 10% domestically and internationally.

Preferred Job Requirements

• Master’s degree in Computer Science, Computer Engineering, or related field.
• AWS Certified Machine Learning Specialty or equivalent cloud ML certification.
• Experience in IoT, smart home, or consumer device ecosystems where AI operates at or near the edge.
• Background in occupancy modeling, event‑sequence pipelines, or behavioral data for connected devices.
• Prior experience building or scaling a real‑time decisioning layer that interfaces between a data platform and user‑facing product surfaces.
• Knowledge of 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.

Salary & Benefits

The pay range for this position is $102,600.00 – $193,425.00. Base pay may vary based on factors such as location, education, training, and experience. In addition to base pay, a comprehensive benefits package including a 401(k) contribution is offered. The position is also eligible for participation in a short‑term incentive plan subject to applicable plans and policies.

Equal Opportunity Employer

Chamberlain Group is an Equal Opportunity Employer. We encourage people of all backgrounds to apply regardless of race, color, religion, sex, national origin, age, sexual orientation, ancestry, marital, disabled, or veteran status. We are committed to fostering an environment where people of all lived experiences feel welcome.

Accessibility Statement

Persons with disabilities who anticipate needing accommodations for any part of the application process may contact [e-mail] in confidence.