Azure Data & AI Cloud Architect: AI Solutions & Strategy

• L200: Agent Development, PostGreSQL, Synapse

Responsibilities

• Engage with customer IT and business leaders to understand their application, data, and AI priorities, and design secure, scalable solutions that drive business value and customer satisfaction.
• Lead technical engagements across architecture design, Proof of Concepts (POCs), and Minimum Viable Products (MVPs) to accelerate adoption of Azure AI, App Services, GitHub, and data platforms.
• Own the end-to-end technical delivery results, ensuring completeness and accuracy of consumption and customer success plans in collaboration with the CSAM.
• Drive next best actions and generate incremental pipeline from each engagement, aligning with Unified Enterprise Support (ES) priorities.
• Deliver repeatable intellectual property (IP) and contribute to centralized IP development to accelerate deployment and achieve targeted outcomes.
• Provide delivery oversight and escalation support for key Factory engagements across AI and App Innovation projects.
• Lead the health, resiliency, security, and optimization of mission-critical workloads, ensuring readiness for production-scale AI use cases.
• Act as the Voice of the Customer by sharing insights and feedback with engineering teams to influence product improvements and remove adoption blockers.
• Support customer skilling through technical workshops, readiness activities, and recommendations that ensure solution performance, maintainability, and reliability. Maintain deep technical expertise and stay current with Azure, AI, GitHub, and cloud-native development trends, while contributing to internal and external technical communities.
• Be accredited and certified to deliver with advanced and expert-level proficiency in priority workloads including Azure AI Foundry, AKS, App Service, Cosmos DB, Azure SQL, PostgreSQL, APIM, and GitHub.
• Demonstrate a growth mindset by continuously aligning your skills to customer needs, contributing to knowledge sharing, and mentoring others to accelerate customer outcomes.

Qualifications

• 4+ years of 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 experience architecting and implementing enterprise-grade cloud-native solutions with AI capabilities – preferably pre-existing knowledge of Azure.