Arize AI - AI Solutions Engineer, East

• Note: Even if you do not check every single box, we still encourage you to apply! • 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. • 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 others for mental and wellness support. • While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces.