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
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