AI Solutions Engineer

Remote

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, AI & Machine Learning, SoftwareIndustries

Requirements

Candidates should have previous experience as a Data Scientist, Machine Learning Engineer, or an Engineer working with ML models or GenAI applications in production. They must be comfortable with public cloud environments (AWS, Azure, GCP) and possess knowledge of machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn, as well as LLM/Agentic frameworks such as Langchain, LangGraph, and DSPy. A strong understanding of ML/DS concepts, model evaluation strategies, lifecycle, and engineering considerations, along with GenAI concepts and application evaluation/development lifecycle, is essential. Proficiency in a programming language like Python is required, as are strong communication skills to simplify complex technical concepts and a capacity for self-learning in complex production ML deployments. Prior customer-facing experience in roles like Solutions Architect or Sales Engineer, and experience with Kubernetes and demoing technical products to diverse audiences are considered bonus points.

Responsibilities

The AI Solutions Engineer will act as a trusted technical advisor to customers, driving business value and growing accounts by leading them to solutions and consulting on best practices. They will conduct technical discussions with data scientists and engineers, demonstrate the value of Arize to business stakeholders, and enable customers to become successful with the platform. Responsibilities include working with sophisticated ML/GenAI teams, advising on GenAI and ML best practices, giving product demos, running strategic business reviews in partnership with sales, interfacing with pre-sales engineering, partnering with product and engineering teams to drive the product roadmap, and spearheading new opportunities within existing accounts.

Skills

GenAI

LLM

Data Science

Technical Consulting

Product Demos

Customer Relationship Management

Business Acumen

Arize AI

AI observability and model evaluation platform

About Arize AI

Arize AI provides a platform focused on AI observability and evaluating language models. The platform allows companies to monitor, troubleshoot, and assess the performance of various machine learning models, including those used for natural language processing, computer vision, and recommendations. Users can access analytics and workflows that help identify and resolve issues within their AI systems, ensuring optimal performance. Key features include task-based evaluations for aspects like hallucination and relevance, as well as tools for visualizing query and knowledge base embeddings to enhance retrieval accuracy. Unlike many competitors, Arize AI specifically targets the needs of top AI companies, offering tailored solutions for continuous improvement of their models. The goal of Arize AI is to empower these companies to enhance their AI capabilities through effective monitoring and evaluation.

Berkeley, CaliforniaHeadquarters

2020Year Founded

$59.3MTotal Funding

SERIES_BCompany Stage

Data & Analytics, AI & Machine LearningIndustries

51-200Employees