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 acustomer-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
