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Solution Engineer -Cloud & AI

Build trusted advisor relationships with CIOs, CDAOs, Enterprise Architects, and technology leaders across Singapore Government agencies. Lead strategic conversations around data modernization, AI transformation, analytics, govern...

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Microsoft SG Source published Sep 1, 2026 Verified 4 hours ago
✓ 95% verification score · Source: Microsoft Careers · Always confirm final requirements on the original source.
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Solution Engineer -Cloud & AI opportunity at Microsoft
DeadlineSun Feb 28 8:49 AM 2027
EmploymentF U L L T I M E
CountrySG

Overview

Build trusted advisor relationships with CIOs, CDAOs, Enterprise Architects, and technology leaders across Singapore Government agencies. Lead strategic conversations around data modernization, AI transformation, analytics, governance, and digital innovation. Develop account-level technical strategies aligned to customer business priorities, mission outcomes, and national digital initiatives. Bring industry and public sector insights to help customers identify opportunities and address emerging challenges. Act as a thought leader on emerging Data & AI technologies, helping agencies identify and prioritize high-value use cases. Drive adoption of modern analytics, generative AI, intelligent applications, and agentic AI solutions. Guide customers through responsible AI, governance, security, and compliance considerations required within regulated public sector environments. Partner with acc

Full job description

Full Job Description

Build trusted advisor relationships with CIOs, CDAOs, Enterprise Architects, and technology leaders across Singapore Government agencies. Lead strategic conversations around data modernization, AI transformation, analytics, governance, and digital innovation. Develop account-level technical strategies aligned to customer business priorities, mission outcomes, and national digital initiatives. Bring industry and public sector insights to help customers identify opportunities and address emerging challenges. Act as a thought leader on emerging Data & AI technologies, helping agencies identify and prioritize high-value use cases. Drive adoption of modern analytics, generative AI, intelligent applications, and agentic AI solutions. Guide customers through responsible AI, governance, security, and compliance considerations required within regulated public sector environments. Partner with account teams to identify, qualify, and accelerate strategic opportunities. Influence technical decision-making and support complex opportunity pursuit, competitive positioning, and executive stakeholder engagement. Contribute to business growth through technical strategy, architectural leadership, and customer success outcomes. 8+ years of experience in technical pre-sales, solution architecture, technical consulting, enterprise architecture, or cloud solution engineering. OR Bachelor's Degree in Computer Science, Information Technology, Engineering, Data Science, or a related discipline AND 6+ years of relevant experience. Experience designing and implementing enterprise-scale data and analytics solutions. Data Platforms & Analytics Data Warehousing & Lakehouse Architectures Business Intelligence & Visualization Data Governance & Information Management Artificial Intelligence & Machine Learning Cloud Data Modernization Experience engaging executive stakeholders and leading customer-facing technical conversations. Excellent communication, presentation, and stakeholder management skills. Experience working with Singapore Government agencies, statutory boards, or highly regulated industries. Strong understanding of public sector security, governance, privacy, and compliance requirements. Experience leading architecture design workshops and value-led consultative engagements. Proven ability to influence technical and business decision makers across large organizations. Experience delivering AI, analytics, or enterprise data transformation programs. Design Thinking, innovation workshop, or business value consulting experience. Design end-to-end architectures spanning data ingestion, integration, storage, governance, analytics, business intelligence, and AI workloads. Guide customers in selecting appropriate architectures, patterns, and best practices to meet performance, security, and operational requirements. Deliver executive briefings, envisioning workshops, strategy sessions, architecture reviews, demonstrations, and proof-of-concept engagements. Facilitate discovery sessions to understand customer challenges, technical landscapes, and transformation objectives.

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