Solution Engineering Cloud & AI Apps

The AI & Apps Solution Engineer is a customer-facing technical sales professional responsible for helping customers modernize applications and adopt AI-powered development platforms. The role focuses on winning technical decisions, accelerating Azure consumption, and driving customer adoption of Microsoft AI technologies including Azure AI, AI Foundry, Agentic AI, GitHub Copilot, and modern application platforms.

Key Responsibilities

Drive AI Application Transformation

- Help customers design and implement AI-native applications and agents.

- Lead conversations around AI Foundry, Azure AI Services, Azure OpenAI, Responsible AI, and application modernization.

- Transform legacy application estates into modern, cloud-native, AI-powered architectures.

Win Technical Decisions

- Conduct technical workshops, architecture design sessions, hackathons, Proof of Concepts (POCs), and MVP engagements.

- Validate solution architectures and remove technical blockers.

- Influence platform and engineering leaders on technology decisions

Solution Architecture & Technical Leadership

- Design secure, scalable, enterprise-grade AI and application solutions.

- Provide guidance on cloud-native development, APIs, microservices, containerization, event-driven architectures, and AI Operations.

- Advocate Responsible AI and governance practices.

Revenue & Consumption Growth

- Accelerate pipeline progression from Uncommitted to Committed (UC→C).

- Support Azure consumption growth and workload expansion.

- Drive technical validation that leads to Azure AI and application platform adoption.

Cross-Team Collaboration

- Partner with Specialists, Account Teams (ATU), Customer Success Units (CSU), Global Black Belts (GBB), Engineering, and Partners.

- Ensure smooth transition from technical validation to deployment and consumption.