Arize AI
Arize AI

51-200 employees

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Artificial Intelligence
Machine Learning
Software
Data Analytics
About Arize AI

Arize AI is a machine learning observability platform that helps companies monitor, troubleshoot, and explain their AI models in production. Founded in 2019, Arize AI's mission is to empower organizations to build trustworthy and reliable AI systems by providing tools that detect model performance issues, data drift, and bias. Their platform supports data scientists and ML engineers in improving model accuracy and operational efficiency, making AI deployments more transparent and accountable. Arize AI serves a wide range of industries including technology, finance, and healthcare, positioning itself as a leader in ML observability and model monitoring.

3 months ago

AI Solutions Engineer

Raleigh, North Carolina - Remote
Full-time
Mid Level
AI Solutions Engineer
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Description
  • Arize AI is a leading platform in AI observability and evaluation, helping organizations monitor, troubleshoot, and optimize their AI systems.
  • The Solutions Engineer will act as a trusted technical advisor to customers, leading product demos, advising on best practices, and collaborating with sales and engineering teams to drive product development and account expansion.
  • The role requires deep knowledge of ML frameworks, GenAI concepts, cloud environments, and strong communication skills.
  • The company offers a remote-first environment with options for in-person work in NYC or San Francisco, along with a comprehensive benefits package and competitive salary.

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Requirements
  • Previous experience working as a Data Scientist, Machine Learning Engineer, or Engineer with ML models or GenAI applications in production.
  • Comfortable working in public Cloud environments (AWS, Azure, GCP).
  • Knowledge of machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Knowledge of LLM / Agentic frameworks such as Llamaindex, LangGraph, and DSPy.
  • Understanding of ML/DS concepts, model evaluation strategies, and lifecycle (feature generation, model training, deployment, scoring via REST APIs).
  • Understanding of GenAI concepts and application evaluation + development lifecycle.
  • Proficiency in a programming language (Python, JS/TS, Java, Go, etc).
  • Strong communication skills and ability to simplify complex technical concepts.
  • A quick and self learner, comfortable with technical complexity of production ML deployments.

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Benefits
  • Medical, dental, and vision insurance.
  • 401(k) plan.
  • Unlimited paid time off.
  • Generous parental leave plan.
  • WFH monthly stipend for co-working spaces.
  • Mental and wellness support benefits.