Are you insatiably curious, deeply passionate about the realm of AI & Copilot, and ready to tackle complex challenges in a dynamic environment? If so, we invite you to join our team as a AI Business Solutions Engineer in Were looking for an AI Solution Engineer to join our team and lead enterprise customers on their journey into the world of Copilot 365/ Studio and Agentic AI.
In this role, you will:
Drive adoption of Copilot and Agentic AI across enterprises.
Lead hands-on engagements such as POCs, hackathons, and architecture workshops.
Help customers design and build tailored AI agents that address real business needs.
Work with AI Foundry, Azure AI, and Responsible AI to deliver secure, scalable, and innovative solutions.
This is your opportunity to be part of a pioneering team, deepen your expertise in AI, and empower customers to become truly AI-native.
Responsibilities
Drive technical sales with business and IT decision makers through demos and PoCs, influencing solution design and enabling production deployments.
Lead hands-on engagementshackathons, code-with sessions, and architecture workshopsto accelerate adoption of Microsoft Copilot tools and cloud platforms.
Build trusted relationships with developers and platform leaders, co-designing secure, scalable architectures and solutions.
Resolve technical blockers and objections, collaborating closely with engineering teams to share insights and continuously improve products.
Maintain deep expertise in AI Foundry & Application Architecture (Agentic AI framework, Semantic Kernel, Foundry SDK, Responsible AI) and in cloud-native app development (APIs, containerization, microservices, event-driven architectures, Python, Java, or.NET).
Expand expertise in AI Management & Security (GenAI Ops, Sentinel, orchestrator, monitoring).
Represent Microsoft as a thought leader in developer communities and customer forums.
Requirements: Basic Qualifications
3+ years technical pre-sales or technical consulting experience
Bachelor's Degree in Computer Science, Information Technology, or related field
Expert on full stack App architecture design / modernization and cloud native dev (e.g., APIs, containerization, microservices, event-driven, Python, Java,.NET)
Preferred qualifications
Master's Degree in Computer Science, Information Technology, or related field
Expert for AI & ML models (e.g., Agentic AI framework, AI Foundry, Semantic Kernel, Foundry SDK, Responsible AI, fine-tuning/inferencing, etc.)
Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes.
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