Sr Software Engineer, AI Platform

Vivint

Washington (Washington County)

Hybrid

USD 150,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Paid holidays & flexible time off
Employee/Friends/Family Discounts
Medical/dental/vision/life coverage &
24/7 Medical Hotline
401(k) + Employer Match
Employee Resource Groups

Job summary

Vivint seeks a Sr AI Platform Engineer to build the shared product-integrity layer for customer-facing AI systems. You will own evaluation, observability, safety gates and launch-readiness infrastructure to ship AI features with measurable quality and impact.

You will collaborate with Product, Analytics, Privacy, Security, and Engineering to define standards and ensure trustworthy AI productization, joining a hybrid Seattle-based team with in-office presence required.

Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, AI/ML, or a related technical field and 5+ years of professional experience in software development, applied science, or ML engineering
  • Master's degree in Computer Science, Software Engineering, AI/ML, or a related technical field and 2+ years of professional experience in software development, applied science, or ML engineering
  • 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

Responsibilities

  • 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

Skills

Python
Data engineering
Model monitoring
Observability systems
LLM evaluation
Safety guardrails
Communication
LLM-as-judge
Cloud platforms
GCP
AWS
Vertex AI
SageMaker
MLflow
Datadog
OpenTelemetry
Privacy-aware AI
Computer vision
GenAI
Recommendation systems
Edge AI
Developer platforms
Internal AI tooling

Education

Bachelor's degree in Computer Science, Software Engineering, AI/ML, or a related technical field
Master's degree in Computer Science, Software Engineering, AI/ML, or a related technical field

Tools

GCP
AWS
Vertex AI
SageMaker
MLflow
Datadog
OpenTelemetry

Job description

Welcome to the intersection of energy and home services. At NRG, we're all about propelling the next generation of leaders forward. We are driven by our passion to create a smarter, cleaner and more connected future. We deliver innovative solutions that make our customers' lives easier-helping them power, protect, and intelligently manage their homes and businesses. To do this, we need creative and talented people to join our company.

We offer a dynamic work environment and a unified and inclusive culture. NRG fosters a strong sense of belonging that leads to better collaboration and business performance. Our company programs are designed to help employees develop the skills they need for success now and in the future. In everything we do, we aim to champion our employees and bring value to our customers, investors and society.

More information is available at www.nrg.com. Connect with NRG on Facebook, Instagram, LinkedIn and X.

About This Role

We are seeking a Sr 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, AI/ML, or a related technical field, and 5+ years of professional experience in software development, applied science, or ML engineering; or
  • Master's degree in Computer Science, Software Engineering, AI/ML, or a related technical field, and 2+ years of professional experience in software development, applied science, or ML engineering
  • 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
Job Functions

Position requires in-office presence in Seattle, WA on a hybrid schedule for Monday, Tuesday, Wednesday, and Thursday with a work from home day on Friday. The position will start remote and then will move into the hybrid schedule.

Working at Vivint

Learn about the Vivint Culture and why it's a great place to grow your career!

Here are some highlighted perks you should ask us about:

  • Paid holidays and flexible paid time away
  • Employee/Friends/Family Discounts
  • Medical/dental/vision/life coverage & 24/7 Medical Hotline
  • 401(k) + Employer Match
  • Employee Resource Groups

The base salary range for this position is: $150K to $180K* *The base salary range above represents the low and high end of the salary range for this position. Actual salaries will vary based on several factors including but not limited to location, experience, and performance. The range listed is just one component of the total compensation package for employees. Other rewards may include annual bonus, short- and long-term incentives, and program-specific awards. In addition the position may be eligible to participate in the benefits program which include, but are not limited to, medical, vision, dental, 401K, and flexible spending accounts.

SAFETY

Vivint enforces a safety culture whereby all employees have the responsibility for continuously developing and maintaining a safe working environment. Each new employee is responsible for completing all training requirements. Additionally, the employee must accept they have responsibility for maintaining the safety of themselves, their co-workers, and the public. Employee must adhere to all written and verbal instructions, promptly report and correct all hazards or unsafe conditions, question non-standard operations or unmitigated hazards, and provide feedback to management on all safety issues.

NRG Energy is committed to a drug and alcohol-free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. EOE AA M/F/Vet/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills.

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