AI Solutions Engineer

Arize AI; United States; Remote; USD 125,000 - 175,000; Full time

Job summary

Arize AI is seeking an AI Solutions Engineer to empower clients by providing technical guidance on ML and GenAI applications. This role involves collaborating with sophisticated teams, advising on best practices, and driving business value through effective communication and relationship-building. The ideal candidate will possess strong technical skills and a passion for AI solutions.

Benefits

Health coverage

401(k)

Unlimited PTO

Parental leave

Wellness support

Monthly co-working stipend

Qualifications

• Experience as a Data Scientist or Machine Learning Engineer working with ML models.
• Familiarity with LLM / Agentic frameworks like Llamaindex.
• Strong communication skills to simplify complex technical concepts.

Responsibilities

• Act as a trusted advisor to customers, building relationships.
• Advise on GenAI and ML best practices.
• Run strategic business reviews for customers.

Skills

Machine Learning

GenAI

Cloud Computing

Communication

Python

JavaScript

Java

Go

Tools

TensorFlow

PyTorch

Scikit-learn

Kubernetes

Job description

The Opportunity

AI is rapidly transforming the world. Whether it’s developing the next generation of human-level intelligence, enhancing voice assistants, or enabling researchers to analyze genetic markers at scale, AI is increasingly integrated into various aspects of our daily lives.

Arize AI is the leading AI observability and evaluation platform, empowering AI engineers to build and deploy high-performing, reliable models. As the AI landscape shifts from traditional ML to generative AI and agentic systems, Arize ensures teams have the tools to monitor, troubleshoot, and improve AI in production.

The Team

Our engineering team builds systems that interact with some of the most complex software ever deployed in production. The team is composed of industry veterans who have built deep learning infrastructure, autonomous drones, ridesharing marketplaces, ad tech, and more.

We are looking for a client-obsessed AI Solutions Engineer with entrepreneurial tendencies to join our Solutions Engineering org. You’ll be the trusted technical advisor for our customers, driving business value, offering advice, and growing accounts. You’ll lead customers to solutions by teaching the product to new users or consulting on best practices. You must be prepared for technical discussions with data scientists and engineers, then demonstrate the value of Arize in business discussions with directors and executives. The goal is to enable our customers to succeed and become enthusiastic about Arize.

What You’ll Do

1. Work closely with sophisticated ML / GenAI teams worldwide.
   • Act as a trusted advisor to customers, building relationships with technical and business stakeholders.
2. Advise on GenAI and ML best practices.
3. Give ML and LLM product demos to technical and business stakeholders.
4. Run strategic business reviews for customers in partnership with our sales team.
5. Interface with our pre-sales engineering team to understand client goals and KPIs.
6. Collaborate with product and engineering teams to influence the product roadmap.
7. Spearhead new opportunities within existing accounts to drive expansion.

What We’re Looking For

Note: Even if you do not meet every requirement, we encourage you to apply!

• Experience as a Data Scientist, Machine Learning Engineer, or 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.
• Familiarity with LLM / Agentic frameworks like Llamaindex, LangGraph, DSPy.
• Understanding of ML/DS concepts, model evaluation, lifecycle, and engineering considerations.
• Knowledge of GenAI concepts and application development lifecycle.
• Proficiency in programming languages such as Python, JS/TS, Java, or Go.
• Strong communication skills, with the ability to simplify complex technical concepts.
• Quick learner with enthusiasm for tackling technical challenges in ML deployments.

Bonus Points (Not Required)

• Experience in Data Science, MLOps, ML Frameworks, LLM / Agentic frameworks.
• Customer-facing roles like Solutions Architect, Implementation Specialist, Sales Engineer, Customer Success Engineer, or Consultant.
• Experience with Kubernetes applications.
• Experience demoing technical products to diverse audiences.

Salary range is $125,000 - $175,000 annually plus equity. Compensation depends on experience and qualifications. Benefits include health coverage, 401(k), unlimited PTO, parental leave, and wellness support.

While remote is preferred, offices are available in NYC and SF. Employees outside these cities receive a monthly co-working stipend.

More About Arize

Our mission is to make AI work effectively and ethically. We focus on understanding and explaining AI model behaviors post-deployment. Learn more in this interview: Forbes article.

Diversity & Inclusion @ Arize

We aim to impact bias in AI and foster a positive culture through industry engagement, inclusive events, and active employee groups like Lady Arizers. We value contributions that promote responsible AI and diversity.