Principal, AI Platform Engineer

Vivint Smart Home, Inc.Lehi, UT

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Overview

Schedule

Full-time

Career level

Senior-level

Remote

On-site

Job Description

Welcome to the intersection of energy and home services. At NRG, we're driven by our passion to create a smarter, cleaner and more connected future.

Vivint Smart Home, an NRG owned company, is a leading smart home company in the United States, dedicated to redefining the home experience with intelligent products and services. We find purpose in proactively protecting and keeping our customers connected to home, no matter where they are. Join the Smart Home team to create smarter, safer and more sustainable homes.

Vivint pioneers cutting-edge smart home security solutions, empowering customers to live a safer, smarter, and more sustainable life. We seek passionate, innovative engineers eager to transform the daily lives of millions through groundbreaking solutions. We blend intelligent hardware, real-time sensor data, and AI to transform how people interact with their homes.

About This Role

We are seeking a Principal AI Platform Engineer to build the shared product-integrity layer for customer-facing AI systems. This role will create the evaluation, observability, safety, and launch-readiness infrastructure needed to ship AI features with measurable quality, reliability, and customer impact. In this role, you will be responsible to:

Build shared evaluation infrastructure for models, prompts, agents, and multimodal AI systems.
Own golden datasets, regression suites, offline and online evals, and LLM-as-judge governance.
Develop observability for model quality, latency, cost, drift, safety, and customer impact.
Create launch-readiness gates for AI features across camera, agentic, personalization, multimodal, and energy products.
Partner with Product, Analytics, Privacy, Security, and Engineering on trustworthy AI productization.
Define reusable standards for AI quality, monitoring, safety, and operational readiness.

Required Qualifications:

Bachelor's degree in Computer Science, Software Engineering, Data Science, or related field
10+ years of software engineering, ML engineering, or AI platform experience
Experience evaluating, deploying, or monitoring production AI systems
Strong Python and data engineering skills
Experience with offline/online evaluation, data quality, model monitoring, or observability systems
Familiarity with LLM evaluation, prompt evaluation, model regression testing, or safety guardrails
Strong communication skills and ability to set standards across teams

Preferred Qualifications:

Experience with LLM-as-judge, agent tracing, multimodal evals, golden datasets, or automated regression suites
Experience with GCP/AWS, Vertex AI, SageMaker, MLflow, Datadog, OpenTelemetry, Private Cloud or similar tooling
Experience with privacy-aware AI systems, customer trust metrics, or launch-readiness processes
Experience supporting computer vision, GenAI, recommendation, or edge AI products
Experience building developer platforms or internal AI tooling

Working at Vivint:

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FAQs About Principal, AI Platform Engineer Jobs at Vivint Smart Home, Inc.

What is the work location for this position at Vivint Smart Home, Inc.?

This job at Vivint Smart Home, Inc. is located in Lehi, UT, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.

What pay range can candidates expect for this role at Vivint Smart Home, Inc.?

Employer has not shared pay details for this role.

What employment applies to this position at Vivint Smart Home, Inc.?

Vivint Smart Home, Inc. lists this role as a Full-time position.

What experience level is required for this role at Vivint Smart Home, Inc.?

Vivint Smart Home, Inc. is looking for a candidate with "Senior-level" experience level.

What is the process to apply for this position at Vivint Smart Home, Inc.?

You can apply for this role at Vivint Smart Home, Inc. either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.