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NEXTMOVEFDE careers · United States

AI Sales Engineer, US

Technologies

Python · TypeScript · OpenAI Agents SDK · Google ADK · LangGraph · DSPy · Kubernetes · GCP · AWS · Azure

About Arize AI

Observability and evaluation platform for LLM and agent systems, used by AI engineers to ship reliable GenAI from prototype to production.

Series C

Job description

The full responsibilities and requirements are on the employer’s site.

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Source and classification

Technical pre-sales · Evidence for this classification:

production. The team is composed of industry veterans that have built deep learning infrastructure, autonomous drones, ridesharing marketplaces, ad tech and much more. We are looking for an AI Sales Engineer (Solutions Architect) to join the good fight and get this product in the hands of every AI/ML organization. You'll work side-by-side with our Account Executives to articulate the Arize value and overall strategy to differentiate the platform throughout the sales process and drive POCs from requirements gathering to close. The activities performed by an AI Sales Engineer are diverse - one day you might be assisting with a high-level pitch of Arize to a CDO, and the next day you might be working hands-on to develop a small proof of concept. What You’ll Do You are the trusted advisor to the customer: Partner with our account executives to articulate the overall Arize value
More from the job description

About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence. We’re a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works. The Team Our engineering team builds systems that interact with some of the most complex software ever deployed in production. The team is composed of industry veterans that have built deep learning infrastructure, autonomous drones, ridesharing marketplaces, ad tech and much more. We are looking for an AI Sales Engineer (Solutions Architect) to join the good fight and get this product in the hands of every AI/ML organization. You'll work side-by-side with our Account Executives to articulate the Arize value and overall strategy to differentiate the platform throughout the sales process and drive POCs from requ [... source excerpt omitted ...] with a high-level pitch of Arize to a CDO, and the next day you might be working hands-on to develop a small proof of concept. What You’ll Do You are the trusted advisor to the customer: Partner with our account executives to articulate the overall Arize value proposition, vision, and strategy to customers Work closely with some of the most sophisticated GenAI teams in the world. You will act as a trusted advisor to our prospective customers, while also building relationships with technical and business stakeholders. Lead product demonstrations of the Arize platform Advise on GenAI and ML best practices Lead discovery to understand prospect’s GenAI tech stack to collabor [... source excerpt omitted ...] s, engineering, and product to unblock them What We’re Looking For Note: Even if you do not check every single box, we still encourage you to apply! 3+ years of experience in a customer-facing role such as sales engineer, solutions engineer, or forward deployed engineer Strong communication skills: Ability to simplify complex, technical concepts Proficiency in Python / Typescript Knowledge of LLM / Agentic frameworks such as OpenAI Agents SDK, Google ADK, LangGraph, and DSPy Understanding of GenAI concepts and application evaluation + development lifecycle A quick and self learner - undaunted by technical complexity of production AI deployments and welcome the challenge t

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