AI Solutions Engineer; Raleigh

AI Solutions Engineer (Raleigh)

Arize AI - Raleigh, NC

On-site, Remote

Salary: $125K - $175K/yr

Benefits:
Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago

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.

We are looking for a client-obsessed AI Solutions Engineer with entrepreneurial tendencies to join the good fight and help build out our Solutions Engineering org. You'll be the trusted technical advisors for our customers, driving business value, offering advice, and growing accounts. You'll accomplish this by leading customers to solutions oftentimes by teaching the product to new users or consulting on best practices.

You must be ready 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 become successful and enthusiastic about Arize.

• 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.

• Previous experience working 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 welcome the challenge to learn about them and develop your own POV.

• 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.

The estimated annual salary and variable compensation for this role is between $125,000 – $175,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job‑related factors that may include transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and other support for mental and wellness.

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