AI Customer Enginee

Saxon GlobalAtlanta, GA
Onsite

About The Position

We are looking for a Senior AI Customer Engineer with deep Cloud & AI Data Platform expertise. Candidates will be supporting customers in building secure, scalable, and AI-ready solutions on Microsoft Azure. This is a customer-facing role where AI Customer Engineers will guide organizations through their data modernization and AI journeys by leading architectural design sessions, proof-of-concept initiatives, and production deployments for mission-critical workloads. The role involves proactive technical support, engaging customers early in their R&D lifecycle to provide guidance, best practices, and insights on Microsoft AI products, helping them avoid major technical blockers later in development. The focus will be on ensuring performance, resiliency, and security across solutions that drive measurable business value.

Requirements

  • Deep Cloud & AI Data Platform expertise.
  • Strong grounding in Azure-specific services.
  • Solid understanding of AI + big data processing.
  • Understanding of ETL pipelines and Microsoft's solutions for data sources.
  • Experience building knowledge bases.
  • Experience building AI applications using Azure AI Search and Azure AI Foundry.
  • Ability to learn.
  • Curiosity.
  • Willingness to ramp quickly on new technologies.

Nice To Haves

  • Experience with Azure AI.
  • Experience with Azure AI Search.
  • Experience with Azure AI Foundry.
  • Experience with RAG.

Responsibilities

  • Guide organizations through data modernization and AI journeys.
  • Lead architectural design sessions, proof-of-concept initiatives, and production deployments.
  • Provide proactive technical support and early guidance to customers.
  • Share best practices and insights on Microsoft AI products.
  • Help customers avoid major technical blockers during development.
  • Ensure performance, resiliency, and security across customer solutions.
  • Create presentations and technical materials to improve customer understanding.
  • Act as a proactive partner rather than purely reactive support.
  • Start conversations early in the customer's development lifecycle to reduce future break/fix scenarios and avoid escalations to reactive Azure Support.
  • Provide solutions and insights not contained within public-facing documentation.
  • Develop POCs and demos for customers.
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