Solution Engineering Cloud & AI Apps
Microsoft
Solution Engineering Cloud & AI Apps
Job Description
OverviewThe 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. ResponsibilitiesKey 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 QualificationsIdeal 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.
Locations
- Mumbai, MH, IN
Skills Required
- AI/MLintermediate
- AI Foundryintermediate
Required Qualifications
- Ideal Candidate Profile (experience)
- 5+ years of technical pre-sales, solution architecture, or consulting experience. (experience, 5 years)
- 5+ years of technical pre-sales, solution architecture, or consulting experience. (experience, 5 years)
- Strong application development and cloud architecture background. (experience)
- Strong application development and cloud architecture background. (experience)
- Ability to translate business outcomes into technical solutions. (experience)
- Ability to translate business outcomes into technical solutions. (experience)
- Hands-on experience with AI/ML and modern software development practices. (experience)
- Hands-on experience with AI/ML and modern software development practices. (experience)
- 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 (experience)
- 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 (experience)
- What Great Looks Like (experience)
- An outstanding AI & Apps Solution Engineer: (experience)
- Wins technical decisions through architecture leadership. (experience)
- Wins technical decisions through architecture leadership. (experience)
- Demonstrates deep expertise in AI Foundry, Azure AI, and application modernization. (experience)
- Demonstrates deep expertise in AI Foundry, Azure AI, and application modernization. (experience)
- Delivers impactful workshops, hackathons, and POCs. (experience)
- Delivers impactful workshops, hackathons, and POCs. (experience)
- Influences CTOs, Engineering Leaders, and Platform Teams. (experience)
- Influences CTOs, Engineering Leaders, and Platform Teams. (experience)
- Converts technical engagement into measurable Azure consumption and business outcomes. (experience)
- Converts technical engagement into measurable Azure consumption and business outcomes. (experience)
- Acts as a trusted advisor helping customers become AI-native organizations. (experience)
- Acts as a trusted advisor helping customers become AI-native organizations. (experience)
- This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. (experience)
Responsibilities
- Drive AI Application Transformation
- Help customers design and implement AI-native applications and agents.
- 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.
- 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.
- 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.
- Conduct technical workshops, architecture design sessions, hackathons, Proof of Concepts (POCs), and MVP engagements.
- Validate solution architectures and remove technical blockers.
- Validate solution architectures and remove technical blockers.
- Influence platform and engineering leaders on technology decisions
- Influence platform and engineering leaders on technology decisions
- Solution Architecture & Technical Leadership
- Design secure, scalable, enterprise-grade AI and application solutions.
- Design secure, scalable, enterprise-grade AI and application solutions.
- Provide guidance on cloud-native development, APIs, microservices, containerization, event-driven architectures, and AI Operations.
- Provide guidance on cloud-native development, APIs, microservices, containerization, event-driven architectures, and AI Operations.
- Advocate Responsible AI and governance practices.
- Advocate Responsible AI and governance practices.
- Revenue & Consumption Growth
- Accelerate pipeline progression from Uncommitted to Committed (UC→C).
- Accelerate pipeline progression from Uncommitted to Committed (UC→C).
- Support Azure consumption growth and workload expansion.
- Support Azure consumption growth and workload expansion.
- Drive technical validation that leads to Azure AI and application platform adoption.
- 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.
- 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.
- Ensure smooth transition from technical validation to deployment and consumption.
- Technical Expertise Expected
- Azure AI Foundry
- Azure AI Foundry
- Azure OpenAI Service
- Azure OpenAI Service
- Agentic AI architectures
- Agentic AI architectures
- Semantic Kernel
- Responsible AI
- LLM orchestration frameworks
- LLM orchestration frameworks
- Multi-agent systems
- Multi-agent systems
- Application Development
- .NET, Java, Python
- .NET, Java, Python
- APIs and integrations
- APIs and integrations
- Containers & Kubernetes
- Containers & Kubernetes
- Microservices
- Event-driven architectures
- Event-driven architectures
- DevOps and CI/CD pipelines
- DevOps and CI/CD pipelines
- Platform & Security
- AI Security and Governance
- AI Security and Governance
- GenAIOps
- Azure Monitoring
- Azure Monitoring
- Microsoft Defender
- Microsoft Defender
- Azure Landing Zones
- Azure Landing Zones
- Enterprise architecture patterns
- Enterprise architecture patterns
- Success Measures
- Typical success metrics include:
- Technical wins achieved
- Technical wins achieved
- Azure AI and Apps consumption growth
- Azure AI and Apps consumption growth
- Pipeline acceleration (UC→C)
- Pipeline acceleration (UC→C)
- AI Foundry adoption
- AI Foundry adoption
- AI agent deployments
- AI agent deployments
- Customer architecture endorsements
- Customer architecture endorsements
- Technical workshop and POC execution
- Technical workshop and POC execution
- Expansion of AI workloads within strategic accounts
- Expansion of AI workloads within strategic accounts
Benefits
- general: Flexibility: Balance what matters—your work, your life, and your team—through trust, autonomy, and shared accountability
- general: Growth: Stretch your skills, expand your impact, and grow with support that meets you where you are
- general: Wellbeing: Support for your body, mind, and financial future—so you can stay energized and do your best work
- general: Community PCS: Find your people, build your network, and feel supported every step of the way
Travel Requirements
50-75%
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