Note: The job is a remote job and is open to candidates in USA. Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. They are seeking a Forward Deployed AI Engineer to act as a trusted advisor to customers, driving business value and offering advice on GenAI and ML best practices.
Responsibilities
- Work closely with some of the most sophisticated ML / GenAI teams in the world
- You will 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
Skills
- 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
- 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
Benefits
- A competitive equity package
- 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
- WFH monthly stipend to pay for co-working spaces
Company Overview
Arize is an AI engineering platform focused on evaluation and observability. It helps engineers develop, evaluate, and observe AI agents. It was founded in 2020, and is headquartered in Berkeley, California, USA, with a workforce of 51-200 employees. Its website is https://arize.com.Company H1B Sponsorship
Arize AI has a track record of offering H1B sponsorships, with 1 in 2025, 1 in 2024. Please note that this does not guarantee sponsorship for this specific role.