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As a Solution Architect specializing in AI, you will play a crucial role in enabling customers to achieve their goals through strategic investments in Microsoft technology. Leveraging your experience in Azure or Data & AI solutions, you will lead technical discussions with customers, guiding them to extract maximum value from their Microsoft investments and identifying solutions to overcome challenges hindering the success of their data and AI projects. This opportunity provides a platform for accelerating your career growth, refining technical and collaborative skills, and deepening your proficiency in cloud technologies.
Job Responsibility:
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, Cosmos DB, and Fabric
Requirements:
Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND previous 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
Strong hands-on experience designing, building, or advising on machine learning and AI solutions, from data preparation and model development through deployment and ongoing optimisation
Solid understanding of Responsible AI principles, including fairness, explainability, privacy, and governance
Strong capability to connect technical strategy with business priorities, enabling customers to accelerate value realisation from cloud and AI investments.
Nice to have:
Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field and previous 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 Master's Degree in Computer Science, Information Technology, Engineering, Business, or related field and previous experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting
OR equivalent experience
Hands-on experience with services such as Azure Machine Learning, Azure AI Foundry, Fabric / Databricks, Azure Data Lake, or equivalent platforms
Previous experience working in a customer-facing role (e.g., internal and/or external)
Previous experience working on technical projects
Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications)