AI Customer Enginee Job Atlanta area,Georgia USA,IT/Tech

What are we looking for:

We are looking for a Senior AI Customer Engineer with deep Cloud & AI Data Platform. Candidates will be supporting customers in building secure, scalable, and AI-ready solutions on Microsoft Azure.

What they will be doing:

This is a customer-facing role and the 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.
Proactive technical support, with the goal of engaging customers early in their R&D lifecycle.
Will provide early guidance, best practices, and insights on how Microsoft AI products are intended to be used and help them avoid major technical blockers later in development
Their focus will be on ensuring performance, resiliency, and security across solutions that drive measurable business value

Role Focus & Responsibilities:

80-90% customer-facing, 10-15% research
Create presentations and technical materials to improve customer understanding
Act as a proactive partner rather than purely reactive support
Be pulled in initially for support requests, then continue engagement proactively
- A key objective is to start conversations early, even when a full solution isn't yet defined, to:
- Reduce future break/fix scenarios
- Make developers' lives easier
- Avoid escalations to reactive Azure Support later in the lifecycle. Not responsible for providing reactive support.
Providing solutions, insights that are not contained within their public-facing documentation, patterns seen across other customers, etc.
Not expected to provide hands-on solution delivery/implementation to customers. Hands-on skills/coding backgrounds will be helpful to develop POCs and demos for customers and has proven beneficial to others hired into the role in the past.

Data & AI Expectations

This role is 100% Microsoft and Azure product-focused.

Key expectations:

Strong grounding in Azure-specific services
Solid understanding of AI + big data processing, including:
- ETL pipelines - Microsoft's solutions to support a wide range of data sources.
Experience building:
- Knowledge bases
- AI applications using Azure AI Search and Azure AI Foundry

Candidate Profile & Hiring Philosophy:

Candidates are not expected to be experts in every product
Strong emphasis on:
- Learning ability
- Curiosity
- Willingness to ramp quickly on new technologies
Ideal candidates already have experience with:
- Azure AI
- Azure AI Search
- Azure AI Foundry
- RAG