Microsoft Cloud Solution Architect - Azure AI Machine Learning 

South Africa, Gauteng, Johannesburg 

835559740

Required/Minimum Qualifications

• Bachelor’s degree in computer science, Information Technology, Engineering, Business, or related field AND proven years’ experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience.
• Proven years’ experience with enterprise-scale technical delivery experience with Azure AI Services including Azure OpenAI, Azure Cognitive Search, Azure Speech, Azure Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture design.
• Proven years’ experience creating AI Proof of Concepts and Minimum Viable Products (MVPs) and supporting production deployments.

Additional or Preferred Qualifications

• Breadth of technical experience and knowledge (preferred):
• Application development skills – proficient with Python, Java, or similar programming languages in the context of application development, and ability to integrate Azure AI with other services; cloud application deployment experience with services such as Azure Functions, Kubernetes, Docker, API Management, and related.
• Architecture Design – the ability to create and explain 3-tier architecture diagrams, system context diagrams, system interaction diagrams, etc.
• Experience in architecting deployments for production in an enterprise setting including infrastructure knowledge, security, networking, and other considerations.
• Proven years’ experience working on technical projects in a customer-facing role (e.g., internal and/or external)
• Ability to build relationships, orchestrate, lead, and influence virtual teams, ensuring successful acceleration and unblocking of customer projects.
• Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications)
• Presentation and communication skills with a high degree of comfort with key audiences (Senior Executives, Management, Data Scientists, Engineers, etc.)

• Accelerate new customer opportunities from Proof of Concept (PoC) to Production for Azure AI workloads such as Azure OpenAI, Azure Cognitive Search, and Azure Machine Learning
• Provide customers with Generative AI expertise and advisory through architecture designs, proof of concepts, production reviews, and post-sales support.
• Expand and grow Azure AI adoption for existing customer base.
• Lead and provide guidance in technical escalations to unblock AI customers in collaboration with Microsoft stakeholders.
• Provide expert perspective to key stakeholders to increase platform adoption through customer insights & feedback on a regular basis.
• Drive product improvement and influence roadmap with Engineering through deep technical insights.
• Increase AI technical intensity in the field through upskilling, sharing best practices, and scaling repeatable IP
• Other: Embody our