> Markdown version of [/jobs/ext/248101-ai-solutions-engineer-east](https://www.wearedevelopers.com/jobs/ext/248101-ai-solutions-engineer-east). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Solutions Engineer, East - **Company:** Arize AI - **Location:** New York, NY, United States (Remote available) - **Salary:** $125,000.0 - $175,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Application Testing, Microsoft Azure, Python (Programming Language), Machine Learning, Tensorflow, Google Cloud, Pytorch, Large Language Models, Model Validation, Generative AI, Scikit Learn, Kubernetes, Machine Learning Operations, Restful APIs, Programming Languages - **Published:** May 13, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=a3adbef2c1898008 ## About the Role Note: Even if you do not check every single box, we still encourage you to apply! 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. Bonus Points, But Not Required 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 ## Description 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. What You'll Do 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., Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI Culturally conscious events such as LGBTQ trivia during pride month We have an active Lady Arizers subgroup ## Related Videos - [Hiring AI Native Talents](https://www.wearedevelopers.com/videos/100268-hiring-ai-native-talents) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)