AI Solutions Engineer
Arize AIFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
The role requires deep AI expertise including hands-on comfort with prompt engineering, small-scale data preparation, basic scripting, and building demo workflows. Key responsibilities include designing enterprise-grade RAG architectures with retrieval pipelines, grounding strategies, vector indexing, and metadata-aware search patterns, as well as architecting AI solutions for ransomware detection, intelligent data search, and automated recovery.
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You'll work in partnership with the Vice President, District Managers, Account Executives, and Sales Engineers as a technical overlay role aligned to a specific sales area.
A strong candidate bridges deep AI expertise with sales execution, has hands-on experience with prompt engineering, data preparation, scripting, and demo workflows, and can lead technical discovery, architect AI solutions, and engage with personas like CIO, CISO, and Data Engineering.
Data management solutions for enterprises
Cohesity specializes in data management solutions for data centers and cloud environments. Its main products, the Cohesity DataPlatform and Cohesity DataProtect, help businesses consolidate tasks like backup, recovery, and data storage into one platform, making it easier to manage large amounts of data while reducing complexity and costs. Unlike many competitors, Cohesity focuses on simplifying data management for medium to large enterprises across various industries, including finance and healthcare. The company's goal is to help businesses manage, protect, and gain insights from their data more efficiently.