Remote Cloud & AI Solutions Architect

Sonata Software

Malaysia

On-site

MYR 120,000 - 180,000

Full time

2 days ago

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Job summary

Sonata Software, a leading AI-first modernization engineering company, is seeking a cloud/AI delivery expert to join our Malaysia team, focusing on Azure-based solutions and data platforms. You will engage with client IT and business leaders to understand priorities and design secure, scalable AI-enabled deployments while driving customer value and satisfaction.

You will lead architecture design, POCs, and MVPs, ensuring successful delivery and contributing to IP development, with ongoing

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
Experience architecting and implementing enterprise-grade cloud-native solutions with AI capabilities – preferably pre-existing knowledge of Azure.

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.