AI Solutions Engineer

About the Role

AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in.
Arize AI is the leading AI & Agent Engineering observability and evaluation platform
, empowering AI engineers to ship high‑performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence.

We’re a Series C company backed by top‑tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies
. Customers like , Uber, Siemens, and Pepsi Co leverage Arize to deliver AI that works.

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 that have built deep learning infrastructure, autonomous drones, ride sharing marketplaces, ad tech and much more.

• Work closely with some of the most sophisticated ML / GenAI teams in the world, acting as a trusted advisor while 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 KPIs.
• Partner with product and engineering teams to help drive the product roadmap.
• Spearhead new opportunities within existing accounts to help drive expansions.

• Previous experience as a Data Scientist, Machine Learning Engineer, or 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 Tensor Flow, PyTorch or scikit‑learn.
• Knowledge of LLM / Agentic frameworks such as Llamaindex, Lang Graph, 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 ready to develop your own POV.

• Previous engineering experience in Data Science, MLOps, ML frameworks or LLM / Agentic frameworks.
• Customer‑facing experience such as Solutions Architect, Implementation Specialist, Sales Engineer, Customer Success Engineer, Consultant, or Professional Service roles.
• Prior experience with Kubernetes deployments.
• Prior experience demoing technical products to both business and technical audiences.

The estimated annual salary and variable compensation for this role is between $125,000 - $175,000, plus a competitive equity package. Total compensation also includes a comprehensive benefit package, including medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and mental and wellness support.

This role requires the right candidate to be based in Raleigh, New York City, or San Francisco.

Arize’s mission is to make the world’s AI work—and work for people. Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge—understanding whether AI is performing and how to improve it at scale.

Our company’s mission is to make AI work and make AI work for people, with a focus on responsible AI and a supportive culture that includes industry expert talks and inclusive events.

As set forth in Arize AI’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.