AI Solutions Engineer

Arize AI

AI Solutions Engineer collaborating with sophisticated ML/GenAI teams and driving customer success with Arize's AI observability platform. Advising on best practices and acting as a trusted technical advisor.

Posted 5/11/2026full-timeNew York City • New York • 🇺🇸 United StatesMid-LevelSenior💰 $125,000 - $175,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoGoogle Cloud PlatformJavaJavaScriptPythonPyTorchScikit-LearnTensorflowTypeScript

About the role

Key responsibilities & impact

Work closely with some of the most sophisticated ML / GenAI teams in the world.
You will act as a trusted advisor to our customers, while also building relationships with technical and business stakeholders.
Advise on GenAI and ML best practices
Give ML and LLM product demos to technical and business stakeholders
Run strategic business reviews for customers in partnership with our sales team
Interface with our pre-sales engineering team to gather client goals and KPI’s.
Partner with our product and engineering teams to help drive the product roadmap
Spearhead new opportunities within existing accounts to help drive expansions.

Requirements

What you’ll need

Previous experience working as a Data Scientist, Machine Learning Engineer, or as an Engineer working 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, model deployment, batch and real time scoring via REST APIs) and engineering considerations
Understanding of GenAI concepts and application evaluation + development lifecycle
Proficiency in a programming language (Python, JS/TS, Java, Go, etc)
Strong Communication Skills - Ability to simplify complex, technical concepts.
A quick and self learner - undaunted by technical complexity of production ML deployments and welcome the challenge to learn about them and develop your own POV.

Benefits

Comp & perks

medical
dental
vision
401(k) plan
unlimited paid time off
generous parental leave plan
others for mental and wellness support

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Machine LearningGenAIData ScienceTensorFlowPyTorchScikit-learnLlamaindexLangGraphDSPyPython

Soft Skills

Communication SkillsRelationship BuildingAdvisory SkillsStrategic ThinkingSelf-LearningProblem Solving