Data Solution Engineer, Data + AI

* Lead the technical strategy for complex Data + AI opportunities across strategic APAC professional services accounts, orchestrating account teams, specialists, partners, engineering resources, and customer stakeholders from early technical decision through production adoption. Design AI-ready data architectures that support Azure AI Foundry, Azure OpenAI, Copilot scenarios, RAG, semantic search, data grounding, lineage, responsible AI, and production intelligent applications. Translate Data + AI capabilities into professional services business outcomes, including client insight generation, knowledge management, regulated workflow modernization, auditability, risk management, and reusable AI-enabled service assets. Help professional services organizations apply Data + AI both to their internal transformation and to reusable, Azure-based services and solutions they deliver to their own clients. Scale impact beyond individual engagements by developing reusable architectures, technical narratives, demonstrations, and industry patterns that can be applied across customers, countries, and professional services scenarios. Working knowledge of application and agentic AI patterns, sufficient to connect governed data platforms with APIs, intelligent applications, copilots, and production workflows. Experience designing AI-ready data architectures that support data grounding, RAG, semantic search, metadata, lineage, responsible AI controls, and secure production AI applications. 8+ years of experience in technical pre-sales, consulting, data architecture, analytics engineering, cloud architecture, data platform engineering, or AI solution architecture. Demonstrated expertise in modern data platforms, analytics architecture, governance, data modernization, and Data + AI solution design. Ability to engage enterprise customers and influence technical decision-makers across data, AI, application, platform, security, engineering, and business teams. Experience leading customer technical engagements such as PoCs, MVPs, architecture design sessions, hands-on labs, workshops, or hackathons. Experience serving or working within Big 4, global systems integrator, consulting, advisory, audit, tax, legal, or other professional services organizations, with an understanding of how these firms use Data + AI to transform internal operations and deliver reusable client-facing services. Experience connecting governed data platforms to intelligent applications, copilots, agentic workflows, APIs, and app modernization patterns. Experience with GitHub, GitHub Copilot, or AI-assisted engineering practices that improve data engineering and analytics delivery. Ability to shape customer strategy through technical leadership, storytelling, executive-ready architecture narratives, and hands-on execution.