[Remote] Forward Deployed AI Engineer, East
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
Company H1B Sponsorship