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The AI Workforce team is a global group of technical architects and strategists driving enterprise-scale adoption of agentic workflows through M365 Copilot, Microsoft Copilot Studio and AI Agents. We combine deep technical expertise with customer and competitive insights to influence product roadmaps and accelerate innovation. Our team resolves complex escalations, delivers technical enablement, and advocates for Copilot extensibility and agentic solutions. We operate across regions and industries, ensuring customers achieve measurable business outcomes while maintaining security, compliance, and operational excellence. As a Cloud Solution Architect - AI Workforce specializing in AI Agents & Evaluations, you will design and implement agentic solutions that power AI-driven workflows for enterprise customers. You will lead evaluation strategies for reliability and safety, mentor peers, and shape product direction through customer insights. This role blends delivery excellence with thought leadership—helping customers adopt Copilot and agentic frameworks at scale while influencing Microsoft’s AI strategy.
Job Responsibility:
Architect and deploy AI agent solutions leveraging Microsoft Copilot Studio, Agent Builder, and declarative frameworks
Define evaluation strategies for agent performance, safety, and compliance using metrics such as task success rate, latency, and failure rate
Mentor peers and guide readiness efforts aligned to corporate priorities like security, resilience, and AI innovation
Generate and evolve IP for emerging AI scenarios and represent Microsoft in technical communities through events, presentations, and content creation
Act as the voice of the customer, synthesizing insights to influence product roadmaps and program improvements
Translate customer challenges into solutions aligned with Microsoft’s platform strategy, ensuring clear articulation of ROI and business outcomes
Anticipate dissatisfaction, define conditions of success, and ensure a seamless, connected customer experience that accelerates adoption and transformation
Deliver operational excellence across engagements by applying governance principles and managing risk proactively
Execute value-based deliverables and prepare customers for operational readiness, long-term adoption, and well-architected, AI-enabled solutions
Identify and capture new opportunities for consumption and usage, collaborating across teams to accelerate deployment and ensure measurable customer impact
Embody our culture and values
Requirements:
Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 2+ years 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
Microsoft is unable to sponsor a work visa for this role due to the nature of the role’s job duties
2+ years experience working in a customer-facing role (e.g., internal and/or external)
2+ years experience working on technical projects
Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications)
Advanced experience in Azure/M365 administration, development, and DevOps processes
Proven expertise in Azure AI workloads, Copilot extensibility, and agentic frameworks
Strong understanding of evaluation methodologies for AI systems (offline and real-time)
Proficiency in TypeSpec, Microsoft 365 Agents Toolkit, and orchestration patterns
Excellent consultative and stakeholder influence skills
Demonstrated ability to lead technical engagements across global enterprise customers
Experience driving adoption of AI-powered workflows and Copilot extensibility at scale
Strong capability in risk management and governance for AI deployments
Track record of mentoring and enabling technical readiness within diverse teams
Familiarity with Retrieval-Augmented Generation (RAG), multi-agent orchestration, and declarative agent design
Knowledge of compliance frameworks and responsible AI principles
Hands-on experience with metrics-driven evaluation and quality assurance for AI agents
Ability to represent Microsoft in technical communities through events, presentations, and content creation