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.aspx-sourcedoc={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.
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