AI Engineer (Remote)

Overview

Frontdoor is reimagining how homeowners maintain and repair their most valuable asset – their home. As the parent company of two leading brands, we bring over 50 years of experience in providing our members with comprehensive options to protect their homes from costly and unexpected breakdowns through our extensive network of pre-qualified professional contractors. American Home Shield, the category leader in home service plans with approximately two million members, gives homeowners budget protection and convenience, covering up to 23 essential home systems and appliances. Frontdoor is a cutting edge, one-stop app for home repair and maintenance. Enabled by our Streem technology, the app empowers homeowners by connecting them in real time through video chat with pre-qualified experts to diagnose and solve their problems. The Frontdoor app also offers homeowners a range of other benefits including DIY tips, discounts and more. For more information about American Home Shield and Frontdoor, please visit frontdoorhome.com .

Responsibilities

Summary:

The AI Platform Engineer is a technical lead responsible for building and optimizing the platform that supports data science and AI/ML initiatives. This individual will drive the adoption of DataOps, MLOps, and AIOps practices, focusing on using the Snowflake Data Cloud to streamline data pipelines, manage ML models, and automate IT operations. The role includes designing and implementing scalable solutions for data ingestion, processing, model training, deployment, and monitoring, ensuring high performance, reliability, and security of AI/ML systems.

Responsibilities

• Architect, build, and maintain the AI platform infrastructure, using cloud-native services and Snowflake's capabilities to support the entire ML lifecycle.

• Implement and manage MLOps pipelines for model training, testing, deployment, and monitoring, ensuring smooth integration with Snowflake data sources.

• Apply machine learning techniques to automate data operations, including monitoring, anomaly detection, incident response, and performance optimization.

• Configure and manage model registries (e.g., Snowflake Model Registry, MLflow) for versioning, tracking, and governance of ML models.

• Implement CI/CD pipelines for automating the deployment and updates of ML models.

• Integrate AIOps platforms with existing application infrastructure, cloud services, and observability tools (e.g., Splunk), using Snowflake as a central data repository.

• Champion data governance and observability frameworks to uphold data integrity, compliance, and security across all platforms.

• Lead the adoption of business-focused domain architectures, effectively marrying technology solutions with business goals.

• Master and apply various data modeling techniques, including dimensional modeling, with emphasis on Star and other related analytical modeling techniques.

• Engage with internal stakeholders to gain a deep understanding of data needs, delivering solutions that drive strategic business objectives.

• Offer leadership and mentorship to the data engineering team, cultivating a culture of innovation and continuous learning.

Qualifications

Minimum Education, Licensure and Professional Certification requirements: Bachelor’s or MS in Computer Science, Software Engineering, Data Science, or a related field

Minimum Experience required (number of years necessary to perform role): 5+ years of experience in a relevant field

Required Skills:

• 5+ years of experience in data engineering, MLOps, AIOps, or AI Platform roles.

• Expertise in the Snowflake Data Cloud, including data warehousing, data engineering features, and ML capabilities using Cortex AI features

• Proficiency in Python and SQL for data manipulation, scripting, and automation.

• Experience with AWS cloud platforms and their data and AI/ML services.

• Experience with MLOps frameworks and tools (e.g., MLflow, Kubeflow, Snowflake Model Registry).

• Solid understanding of DevOps principles and CI/CD practices for data and AI/ML workflows.

• Experience with observability tools (monitoring, logging, alerting) and setting up automated incident response.

Other/State Specific

This role pays between $165k to $180k, and your actual base pay will depend on your skills, qualifications, responsibilities, experience, and location.

At Frontdoor certain roles are eligible for additional rewards and incentives. Speak directly to your recruiter to learn more.

Our approach to benefits is holistic, and includes health, wellbeing and financial components including: insurance for medical/pharmacy, dental, vision, life, and disability, weight loss and smoking cessation programs, matching 401(k) and ability to participate in our employee stock purchase plan.