Principal Group Architect

Define and drive the multi-year technical vision, architecture strategy, and platform roadmap for Copilot Extensibility and Agent Platform capabilities. Lead architecture for intelligent agent ecosystems including agent orchestration, tool invocation, workflow automation, agent collaboration, extensibility frameworks, and developer platforms. Design highly scalable, reliable, secure, and globally distributed cloud services that support enterprise AI and agent-driven experiences. Drive technical direction across multiple engineering organizations and establish architectural standards, platform principles, and engineering best practices. Partner with Product Management, Applied Science, Security, Research, and Engineering leaders to align platform strategy with customer and business needs. Lead the resolution of highly ambiguous and business-critical technical challenges spanning distributed systems, AI platforms, developer ecosystems, and enterprise integrations. Identify platform opportunities and create reusable frameworks, SDKs, APIs, and services that accelerate innovation across multiple product teams. Champion operational excellence through investments in reliability, observability, scalability, security, compliance, and service resilience. Represent architecture and technical strategy in executive reviews, architecture boards, strategic planning discussions, and cross-company initiatives. Mentor Principal Engineers, Architects, and senior technical leaders while helping build the next generation of technical talent. Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. OR equivalent experience. These requirements include but are not limited to the following specialized security screenings: 15+ years of software engineering experience designing and delivering large-scale distributed systems, cloud platforms, or platform technologies. Proven experience defining architecture and technical strategy across multiple teams, organizations, or product areas. Deep expertise in distributed systems, software architecture, cloud-native services, microservices, APIs, platform engineering, and service reliability. Solid experience with enterprise-scale cloud platforms, scalability patterns, resilience engineering, observability, and operational excellence. Demonstrated success driving large cross-organizational technical initiatives and influencing senior engineering and business leaders. Solid understanding of security, privacy, compliance, identity, authentication, and platform governance principles. Excellent communication, technical leadership, and stakeholder management skills. Proven ability to lead through influence and drive alignment across complex technical organizations. Experience building AI platforms, Generative AI solutions, agentic systems, Copilot experiences, or intelligent automation platforms. Experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agent orchestration frameworks, multi-agent systems, and AI reasoning workflows. Experience designing developer ecosystems including extensibility platforms, SDKs, plugin architectures, APIs, or marketplace-based platforms. Experience with MCP, agent interoperability frameworks, enterprise integrations, workflow orchestration, or business process automation. Solid understanding of AI governance, evaluation systems, safety frameworks, and responsible AI practices. Experience operating mission-critical cloud services at global scale with demanding availability, reliability, and performance requirements. Recognized technical leadership through patents, publications, open-source contributions, conference presentations, or industry impact. The ideal candidate is a recognized technical leader who can define architectural direction for an entire platform ecosystem, influence strategy across multiple organizations, and solve industry-defining technical challenges. They possess deep expertise in distributed systems and AI platforms, demonstrate solid architectural judgment, and excel at building alignment in complex environments. They can translate long-term business opportunities into scalable platform investments, raise the technical bar across organizations, and create durable technology foundations that shape the future of intelligent agents and enterprise AI.