Solution Engineering - AI Applications (Middle East & Africa Lead)

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 the company. Here, you'll be at the forefront of innovation, working on cutting-edge projects that leverage the latest technologies to drive meaningful impact. As an AI Applications Solution Engineer (SE), you will play a pivotal role in helping enterprise AI developers unlock the full potential of the company’s AI-powered stack across every stage of the development lifecycle. 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.

Location
United Arab Emirates, Multiple Locations

Work Conditions

• 3 days/week in-office
• Travel: 25-50%
• Employment type: Full-Time

Responsibilities

• Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
• Lead hands-on engagements—hackathons, code-with sessions, and architecture workshops—to accelerate adoption of the company’s developer tools and cloud platforms.
• Build trusted relationships with developers and platform leads, co-designing secure, scalable architectures and solutions.
• Maintain deep expertise in AI Foundry & App architecture and cloud native development, including APIs, containerization, microservices, and event-driven architecture.
• Represent the company through thought leadership in developer communities and customer forums.

Qualifications

• 6+ years technical pre-sales, technical consulting, or technology delivery, or related experience or equivalent experience.
• Expert on full stack App architecture design and cloud native development.
• Proven ability to lead technical engagements that drive production-scale outcomes.
• Skilled with one or more frameworks, tools, or languages such as GitHub, Python, Java, and AI Assisted Development Tools.