Ai Solutions Engineer

Arize AI

Raleigh, North Carolina, USA
Base: $125,000 - $175,000; bonus/equity: competiti...
Remote
Ai & agent engineering observability
Ml/genai best practices
Ml/llm product demos
Arize AI is seeking an AI Solutions Engineer to join their remote-first team, focusing on empowering clients to optimize their AI systems. The ideal candidate will have a background in machine learning and customer-facing roles, providing technical advice and support to clients

Job Summary

  • Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications.
  • You’ll be the trusted technical advisors for our customers, driving business value, offering advice, and growing accounts.
  • The estimated annual salary and variable compensation for this role is between $125,000 - $175,000, plus a competitive equity package.

Matching Summary

Match Score: 85

Arize AI is seeking an AI Solutions Engineer to join their remote-first team, focusing on empowering clients to optimize their AI systems. The ideal candidate will have a background in machine learning and customer-facing roles, providing technical advice and support to clients.

Salary

Base: $125,000 - $175,000; Bonus/Equity: Competitive equity package; Benefits: Comprehensive benefit package

Skills & Requirements

Must-have

  • AI & Agent Engineering observability
  • ML/GenAI best practices
  • ML/LLM product demos
  • Python, JS/TS, Java, Go proficiency
  • Public Cloud environments (AWS, Azure, GCP)

Nice-to-have

  • Client-obsessed with entrepreneurial tendencies
  • Customer facing experience
  • Kubernetes experience
  • Demoing technical products

Key Requirements

  • Data Scientist, ML Engineer, or Engineer with ML/GenAI production experience
  • Knowledge of ML frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Knowledge of LLM/Agentic frameworks (Llamaindex, LangGraph, DSPy)
  • Understanding of ML/DS concepts and lifecycle
  • Understanding of GenAI concepts and lifecycle

Work Rights

Not specified

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