[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.ResponsibilitiesWork closely with some of the most sophisticated ML / GenAI teams in the worldYou will act as a trusted advisor to our customers, while also building relationships with technical and business stakeholdersAdvise on GenAI and ML best practicesGive ML and LLM product demos to technical and business stakeholdersRun strategic business reviews for customers in partnership with our sales teamInterface with our pre-sales engineering team to gather client goals and KPI’sPartner with our product and engineering teams to help drive the product roadmapSpearhead new opportunities within existing accounts to help drive expansionsSkillsPrevious experience working as a Data Scientist, Machine Learning Engineer, or as an Engineer working with ML models or GenAI applications in productionComfortable working in public Cloud environments (AWS, Azure, GCP)Knowledge of machine learning frameworks such as TensorFlow, PyTorch or Scikit-learnKnowledge of LLM / Agentic frameworks such as Llamaindex, LangGraph, and DSPyUnderstanding 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 considerationsUnderstanding of GenAI concepts and application evaluation + development lifecycleProficiency in a programming language (Python, JS/TS, Java, Go, etc)Strong Communication Skills - Ability to simplify complex, technical conceptsA quick and self learner - undaunted by technical complexity of production ML deployments and welcome the challenge to learn about them and develop your own POVPrevious engineering experience in: Data Science, MLOps, ML Frameworks, LLM / Agentic frameworksCustomer facing experience strongly preferred such as Solutions Architect, Implementation Specialist, Sales Engineer, Customer Success Engineer, Consultant, or Professional Service rolesPrior experience working with applications deployed with KubernetesPrior experience demoing technical products to both business and technical audiencesBenefitsA competitive equity packageA comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness supportWFH monthly stipend to pay for co-working spacesCompany OverviewArize 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 SponsorshipArize 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.