AI Solutions Engineer, East

Arize AI • New York, NY

2d • Remote

About The Position

Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. Arize AX unifies build, test, and run in a similar workspace. The engineering team builds systems that interact with some of the most complex software ever deployed in production. 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. While we are a remote-first company, the nature of this role requires candidates to be based in the New York City metro area/EST time zone.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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.

Benefits

• medical
• dental
• vision
• 401(k) plan
• unlimited paid time off
• generous parental leave plan
• others for mental and wellness support
• WFH monthly stipend to pay for co-working spaces

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed