VRIZE is a Tampa-based digital engineering services firm whose stack spans two worlds: a modern AI layer (LangChain, LangGraph, RAG, MCP) and legacy enterprise platforms like IBM i, .NET and SQL Server. That pairing, plus job-post themes around embedding AI into legacy codebases, points to a practice focused on retrofitting agentic AI onto older enterprise systems. Senior-heavy engineering and data hiring across India and the US is accelerating.
VRIZE is a privately held digital engineering and consulting company founded in 2020 and headquartered in Tampa, Florida, with 201–500 employees. It serves enterprise clients across analytics, AI, quality engineering, digital customer experience and platform consulting. Delivery work covers data platforms on Snowflake with Python, Tableau, Power BI and Looker, application development in .NET, Angular and Java, and marketing measurement using Google Analytics 4, Google Tag Manager and Meta Pixel. The company hires in both the United States and India.
VRIZE works with Snowflake, Python, Pandas, Tableau, Power BI and Looker for data; C#, .NET Core, Angular, TypeScript, Java and SQL Server for apps; and LangChain, LangGraph, RAG and MCP for AI.
Yes. Hiring is accelerating and concentrated in engineering and data roles, mostly at senior level, with openings in India and the United States.
Job posts point to agentic AI workflows, enterprise AI solutions using Claude and RAG, AI center-of-excellence governance, embedding AI into legacy codebases, and conversion tracking implementations.
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VRIZE's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.
