Join Microsoft Industry Solutions as a Principal Architect within the Global Center Innovation and Delivery Center (GCID). This role is pivotal for driving enterprise-wide architecture strategy and leading AI-first delivery execution to achieve significant business outcomes. You will act as a trusted advisor to C-suite executives, influencing digital, data, and AI transformation agendas across complex, multiyear customer engagements. We are looking for an individual with exceptional technical breadth, strategic depth, and executive presence to navigate ambiguous, high-impact environments and shape the future of intelligent solutions.

This is an opportunity to be part of an organization of over 1000 professionals dedicated to accelerating the adoption and productive use of Microsoft technologies. You will be instrumental in defining guardrails and leading the execution of scalable, secure, and intelligent solutions that drive business value, resilience, and innovation.

Lead enterprise-scale AI-first delivery strategies, aligning with customer business visions and executive priorities. Provide end-to-end technical accountability for critical engagements, ensuring architectural integrity and measurable business results. Establish scalable delivery models for intelligent automation and AI-native execution across programs. Serve as the executive technical authority during escalations, guiding recovery or transformation strategies for high-risk engagements. Partner with CIO/CTO/CDO leadership to balance innovation, governance, cost, security, and speed at an enterprise level.

Set enterprise architecture standards and technical guardrails across data, AI, platform, and engineering. Ensure production-grade quality through rigorous reviews and benchmarks. Champion modern engineering practices like DevSecOps, platform engineering, CI/CD, and SRE. Foster a culture of technical rigor and continuous evolution. Shape forward-looking architecture visions using emerging AI and data capabilities, influencing technology roadmaps and innovation investments. Lead the creation of reusable assets and represent GCID as a thought leader in AI adoption and large-scale transformation.

A minimum of 22 years of experience in software, data, and platform engineering, with over 15 years in enterprise architecture and technical leadership roles, is required. A proven track record of influencing and delivering transformation outcomes at the CXO level is essential. Deep expertise in modern delivery methodologies and go-to-market acceleration models, coupled with exceptional executive communication, stakeholder influence, and decision-making skills, are critical for success.

We are seeking candidates with expertise in enterprise data architecture, large-scale data processing, database platforms, performance and capacity engineering, and AI-first data engineering. Proficiency in defining strategies for AI-driven data platforms, influencing governance and Responsible AI adoption, and driving the operationalization of autonomous data systems is expected. Experience in AI and advanced analytics enablement, including RAG and AI agents, is also important. A Bachelor's degree in engineering, Computer Science, or equivalent experience is necessary; advanced certifications are preferred.