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Microsoft is transforming the developer experience for AI business sulotions across the development lifecycle. With AI /Copilot and seamless integration with Azure AI, were leading the way in Agentic AI development where AI agents streamline development and operations. As an AI Solution Engineer, youll help customers boost productivity and become AI-native.

As an AI Business Solution Engineer (SE), you will play a pivotal role in helping enterprise AI developers unlock the full potential of Microsofts AI-powered stack across every stage of the development lifecycle. Youll collaborate closely with engineering leaders and platform teams to accelerate AI Foundry, Azure AI, and Responsible AI, through hands-on engagements like Proof of Concepts, hackathons, and architecture workshops. This opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your technical skills, and become adept at solution design and deployment. Youll guide customers through secure, scalable solution design, influence technical decisions, and accelerate AI applications development into their deployment workflows. In summary, youll help customers modernize their applications and realize the full value of Microsofts AI platform, all while enjoying flexible work opportunities.

As a trusted technical advisor, youll guide customers through secure, scalable solution design, influence technical decisions, and accelerate AI applications and agents into their development workflows. In summary, youll help customers modernize their applications leveraging AI and realize the full value of Microsofts platform.
Responsibilities
Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
Lead hands-on engagementshackathons, code-with sessions, and architecture workshopsto accelerate adoption of Microsofts Copilot tools and cloud platforms.
Build trusted relationships with developers and platform leads, co-designing secure, scalable architectures and solutions
Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
Maintain deep expertise in AI Foundry & App architecture (Agentic AI framework, Semantic Kernel, Foundry SDK, Responsible AI) and App architecture/cloud native dev (APIs, containerization, microservices, event-driven, Python, Java or.NET).
Maintain and grow expertise in AI Management & Security (Gen AI Ops, Sentinel, orchestrator, monitoring).
Represent Microsoft through thought leadership in developer communities and customer forums

Are you an insatiably curious, deeply passionate and hands-on technologist? Are you at your best when working with engineers, architects and technology leaders on fun and hugely impactful technical challenges? If so, we invite you to join our team as a Cloud & AI Solution Engineer for commercial customers at Microsoft. Here, you'll be at the forefront of innovation, working on cutting-edge projects that leverage the latest technologies to drive meaningful impact. Join us and be part of a team that thrives on collaboration, creativity, and continuous learning.

We will be opening several new roles, and candidates should have expertise in one or more of the following areas:



Cloud Infrastructure including Cloud Migration & Modernization
Data and Analytics
AI Applications
Software, Development Tools & AI

Microsofts mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
Lead hands-on engagementshackathons, code-with sessions, and architecture & technical workshopsto accelerate adoption of Microsofts developer tools and cloud platforms.
Build trusted relationships with developers and platform leads as well as AI decision makers to co-design secure, scalable architectures and solutions
Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
Maintain deep expertise in one of the following:
Software Solutions Engineer: GitHub, Visual Studio, AI-assisted dev tools, Foundry SDK, CI/CD, DevOps, and cloud-native development (APIs, containers, microservices)
Data Solution Engineer: Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL, Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions.
Infrastructure Solution Engineer: Cloud migration (Windows, SQL, Linux, PostgreSQL, app workloads), resiliency, security, and compliance. Deepen knowledge of enterprise apps (SAP, Oracle) and Azure VMware Solution (AVS).
AI Applications Solution Engineer: AI Foundry & App architecture (Agentic AI framework, TensorFlow, Pytorch, Responsible AI) and App architecture/cloud native dev (APIs, containerization, microservices, event-driven). Maintain and grow expertise in AI Management & Security (Gen AI Ops, Sentinel, orchestrator, monitoring).
Represent Microsoft in customer forums and technical communities through thought leadership.