AI Solutions Engineer; Raleigh Solutions Engineering Raleigh, NC

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 provides a unified workspace that unites build, test, and run so teams can ship faster with confidence.

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

The 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, ride sharing marketplaces, ad‑tech, and much more.

• Work closely with sophisticated ML / GenAI teams worldwide and act as a trusted advisor to customers, 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 drive the product roadmap.
• Spearhead new opportunities within existing accounts to drive expansions.

• Previous 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 Tensor Flow, PyTorch or scikit-learn.
• Knowledge of LLM / Agentic frameworks such as Llama Index, Lang Graph, or 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, JavaScript/Type Script, Java, Go, etc).
• Strong communication skills – ability to simplify complex, technical concepts.
• Quick and self‑learner – undaunted by technical complexity of production ML deployments and willing to learn.

• Previous engineering experience in Data Science, MLOps, ML Frameworks, or LLM / Agentic frameworks.
• Customer‑facing experience (Solutions Architect, Implementation Specialist, Sales Engineer, Customer Success Engineer, Consultant, or Professional Service roles).
• Experience with Kubernetes‑based deployments.
• 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: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and other mental and wellness support benefits.

We are a remote‑first company. We have opened offices in New York City and the San Francisco Bay Area as an option for employees in those cities who wish to work in‑person. All other employees receive a monthly stipend to cover co‑working space.

Arize’s mission is to make the world’s AI work—and work for people—while fostering an inclusive, responsible AI culture. We regularly engage with industry experts, researchers, and ethicists to advance responsible AI practices. Celebrations such as LGBTQ trivia during Pride month and supporting sub‑groups demonstrate our commitment to a vibrant, inclusive workplace.

Arize AI is an equal opportunity employer compliant with federal and state laws. We consider applicants without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, veteran status, gender identity, or sexual orientation. All applicants are respected and protected throughout the hiring process.