Solution Engineering Cloud & AI Apps

Overview

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.

Responsibilities

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.
  
  

Technical Expertise Expected

AI & Agentic AI

• Azure AI Foundry
• Azure OpenAI Service
• Agentic AI architectures
• Semantic Kernel
• Responsible AI
• LLM orchestration frameworks
• Multi-agent systems
  
  

Application Development

• .NET, Java, Python
• APIs and integrations
• Containers & Kubernetes
• Microservices
• Event-driven architectures
• DevOps and CI/CD pipelines
  
  

Platform & Security

• AI Security and Governance
• GenAIOps
• Azure Monitoring
• Microsoft Defender
• Azure Landing Zones
• Enterprise architecture patterns
  
  

Success Measures

Typical Success Metrics Include

• Technical wins achieved
• Azure AI and Apps consumption growth
• Pipeline acceleration (UC→C)
• AI Foundry adoption
• AI agent deployments
• Customer architecture endorsements
• Technical workshop and POC execution
• Expansion of AI workloads within strategic accounts
  
  

Qualifications

Ideal Candidate Profile

• 5+ years of technical pre-sales, solution architecture, or consulting experience.
• Strong application development and cloud architecture background.
• Ability to translate business outcomes into technical solutions.
• Hands-on experience with AI/ML and modern software development practices.
• Executive-level communication and customer advisory skills. https://microsoftapc-my.sharepoint.com/personal/nirmpur_microsoft_com/_layouts/15/Doc.aspxsourcedoc=519BC9D2-3F11-40B6-84B4-18A1DBEB3BCB&file=Job description App SE.docx&action=default&mobileredirect=true&DefaultItemOpen=1
  
  

What Great Looks Like

An Outstanding AI & Apps Solution Engineer

• Wins technical decisions through architecture leadership.
• Demonstrates deep expertise in AI Foundry, Azure AI, and application modernization.
• Delivers impactful workshops, hackathons, and POCs.
• Influences CTOs, Engineering Leaders, and Platform Teams.
• Converts technical engagement into measurable Azure consumption and business outcomes.
• Acts as a trusted advisor helping customers become AI-native organizations.
  
  

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.