AI Solution Engineer – Copilot & Agentic AI

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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 We’re 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.

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.

• Drive technical sales with business and IT decision makers through demos and PoCs, influencing solution design and enabling production deployments.
• Lead hands-on engagements—hackathons, code-with sessions, and architecture workshops—to 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.