Are you insatiably curious, deeply passionate about the realm of AI & applications, and ready to tackle complex challenges in a dynamic environment? If so, we invite you to join our team as a Cloud & AI Solution Engineer in AI Applications for commercial customers at Microsoft. Here, you'll be at the forefront of 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.
Ready to apply for roles like this?
Unlock the company name and direct application link. Subscribers get instant access to fresh jobs across Dubai, Abu Dhabi and Riyadh, many with visa support.
Unlock employer & apply directly
Microsoft is transforming the developer experience for AI applications across the development lifecycle. With AI Foundry and seamless integration with Azure AI, we’re leading the way in Agentic AI development where AI agents streamline development and operations. As an AI Apps Solution Engineer, you’ll help customers boost productivity and become AI-native.
You’ll 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. You’ll guide customers through secure, scalable solution design, influence technical decisions, and accelerate AI applications development into their deployment workflows.
In summary, you’ll help customers modernize their applications and realize the full value of Microsoft’s AI platform, all while enjoying flexible work opportunities.
Responsibilities:
- Drive technical sales with decision makers using demos and Proof of Concepts to influence solution design and enable production deployments.
- Lead hands-on engagements—hackathons, code-with sessions, and architecture workshops—to accelerate adoption of Microsoft’s developer 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 development (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.
Qualifications:
Required Qualifications:
- 5+ years technical pre-sales or technical consulting experience OR
- Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience OR
- Master's Degree in Computer Science, Information Technology, or related field AND 3+ years technical pre-sales or technical consulting experience OR
- Equivalent experience
- Expert on full-stack App architecture design/modernization and cloud-native development (e.g., APIs, containerization, microservices, event-driven, Python, Java, .NET)
- Expert for AI & ML models (e.g., Agentic AI framework, AI Foundry, Semantic Kernel, Foundry SDK, Responsible AI)
- Proven ability to lead technical engagements (e.g., hackathons, Proof of Concepts, MVPs) that drive production-scale outcomes.
Preferred Qualifications:
- 6+ years technical pre-sales, technical consulting, or technology delivery experience, or equivalent experience.
- 4+ years of experience with cloud and hybrid, or on-premises infrastructure, architecture designs, migrations, industry standards, and/or technology management.
- Proficient in Agentic framework, AI Management & Security (e.g., Gen AI Ops, Sentinel, Responsible AI).
- Skilled with 1 or more frameworks, tools, languages (e.g., GitHub, Copilot Studio, VS Code, Jupyter, PyCharm, Node.js, Python, Java, C#, C++, AI Assisted Dev Tools).
Language Requirements: English proficiency required.
