AI Solutions Engineer Jobs

Arize

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

125000.00 - 175000.00 USD / Year

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Job Description:

AI Solutions Engineer for Arize AI, the leading AI & Agent Engineering observability and evaluation platform. You’ll be the trusted technical advisors for our customers, driving business value, offering advice, and growing accounts.

Job Responsibility:

Work closely with some of the most sophisticated ML / GenAI teams in the world
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:

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

Nice to have:

Previous engineering experience in: Data Science
MLOps
ML Frameworks
LLM / Agentic frameworks
Customer facing experience strongly preferred such as Solutions Architect, Implementation Specialist, Sales Engineer, Customer Success Engineer, Consultant, or Professional Service roles
Prior experience working with applications deployed with Kubernetes
Prior experience demoing technical products to both business and technical audiences

What we offer:

competitive equity package
comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support
WFH monthly stipend to pay for co-working spaces

Additional Information:

Job Posted:
December 06, 2025

Employment Type:

Fulltime

Work Type:

Remote work

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AI Solutions Engineer