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AI Solutions Engineer, EMEA

1 month, 1 week ago
Europe
Full-time
Senior
AI (Artificial Intelligence)
Artificial Intelligence and Machine Learning
AWS Azure GCP Generative AI Go Java JavaScript Kubernetes LLM Machine Learning MLOps Python PyTorch REST API Scikit-learn TensorFlow TypeScript
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Arize AI

Arize AI

Arize AI offers a machine learning observability platform that enables practitioners to detect, diagnose, and improve the performance of their models, particularly focusing on enhancing the efficiency and outcomes of large language model applications.

IT Services
51-250
$61M raised
View All Jobs 25

Description

  • Work closely with sophisticated ML and GenAI teams as a trusted technical advisor.
  • Build relationships with technical and business stakeholders across customer accounts.
  • Advise customers on GenAI and machine learning best practices.
  • Deliver ML and LLM product demos to technical and business audiences.
  • Run strategic business reviews in partnership with the sales team.
  • Gather customer goals and KPIs in collaboration with pre-sales engineering.
  • Partner with product and engineering teams to inform the product roadmap.
  • Identify and spearhead expansion opportunities within existing accounts.
  • Teach new users how to use the product and consult on implementation best practices.

Requirements

  • Previous experience as a Data Scientist, Machine Learning Engineer, or engineer working with ML models or GenAI applications in production.
  • Comfort working in public cloud environments such as AWS, Azure, or GCP.
  • Knowledge of machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Knowledge of LLM and agentic frameworks such as LlamaIndex, LangGraph, and DSPy.
  • Understanding of ML/DS concepts, model evaluation strategies, and the model lifecycle, including feature generation, training, deployment, and batch and real-time scoring via REST APIs.
  • Understanding of GenAI concepts and the application evaluation and development lifecycle.
  • Proficiency in a programming language such as Python, JS/TS, Java, or Go.
  • Strong communication skills with the ability to simplify complex technical concepts.
  • Ability to learn quickly and work effectively in technically complex production ML environments.
  • Customer-facing experience in roles such as Solutions Architect, Implementation Specialist, Sales Engineer, Customer Success Engineer, Consultant, or Professional Services is preferred.
  • Experience with applications deployed on Kubernetes is preferred.
  • Prior experience demoing technical products to both business and technical audiences is preferred.

Benefits

  • Estimated annual salary and variable compensation of $125,000 to $175,000.
  • Competitive equity package.
  • Comprehensive medical, dental, and vision coverage.
  • 401(k) plan.
  • Unlimited paid time off.
  • Generous parental leave plan.
  • Mental and wellness support benefits.
  • Remote-first work model with optional offices in New York City and the San Francisco Bay Area.
  • Monthly WFH stipend for co-working spaces for employees outside office locations.

Interested in this position?

Apply directly on the company website

Apply Now

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