Job Description

Arize AI is seeking a client-obsessed AI Solutions Engineer to be a trusted technical advisor for customers, driving business value, offering advice, and growing accounts. The role involves leading customers to solutions, teaching the product, consulting on best practices, and engaging in technical and business discussions to ensure customer success and enthusiasm for Arize.

Responsibilities

• Work closely with ML / GenAI teams.
• Act as a trusted advisor to customers and build relationships.
• Advise on GenAI and ML best practices.
• Give ML and LLM product demos to technical and business stakeholders.
• Run strategic business reviews for customers.
• Interface with pre-sales engineering team to gather client goals and KPI’s.
• Partner with product and engineering teams to drive the product roadmap.
• Spearhead new opportunities within existing accounts to drive expansions.

Requirements

• Experience as a Data Scientist, Machine Learning Engineer, or Engineer working with ML models or GenAI applications.
• 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.
• Understanding of GenAI concepts and application evaluation + development lifecycle.
• Proficiency in a programming language (Python, JS/TS, Java, Go, etc).
• Strong Communication Skills.
• Quick and self learner.

Benefits

• No benefits