Global Solution Architect

Job Description

In this role, you will lead AI Transformation by example—helping transform the Unified value-based delivery (VBD) portfolio into agent-assisted delivery models that improve scalability, quality, and consistency, driving superior outcomes for our customers. As a GSA, you’ll operate at the intersection of customer delivery, engineering, and internal IP, designing and building secure, scalable agentic solutions that CSAs worldwide can use to deliver repeatable impact across core VBD focus areas. A hallmark of this position is balancing creation and validation. You will spend the majority of your time (approximately 80%) designing, building, and operationalizing agentic capabilities that modernize VBD delivery. The remaining time (approximately 20%) will be dedicated to incubation with customers—testing concepts in real engagements, capturing learnings, and refining solutions and delivery patterns to accelerate scale across the organization.

Job Responsibility

Lead AI Transformation through agent-assisted delivery by designing and building agentic capabilities that transform the Unified VBD portfolio into scalable delivery models with improved quality, consistency, and customer outcomes.
Design and build the future of VBD deliveries in close collaboration with IP Leads—assessing existing titles, identifying automation opportunities, and redesigning delivery journeys with innovative agentic support.
Engage with customers and partners as a trusted technical advisor, driving adoption, solution excellence, and customer satisfaction through expertise in AI, Graph API, and Copilot for M365.
Experiment, test, and validate early-stage solutions to capture breakthrough use cases and establish ROI methodologies.
Document, standardize, and share delivery patterns (reference architectures, prompts/instructions, guardrails, and playbooks) to enable CSAs worldwide to execute consistently across the VBD portfolio.
Coach and enable field roles and partners on agentic delivery models, secure implementation practices, and hands-on technical execution so solutions are adopted and sustained at scale.
Identify and resolve blockers to scale by partnering across engineering, product, security, and sales to unblock governance, integration, and platform constraints so agentic solutions can reach broad adoption and repeatable go-live.
Drive value realization and measurement by defining success metrics for agent-assisted delivery (time-to-value, quality, reuse, customer outcomes), tracking adoption, and iterating on solutions and playbooks based on data and feedback.
Architect end-to-end solutions across core GSA/VBD focus areas, ensuring agentic capabilities are secure and scalable by design and align with Microsoft standards for identity, data access, compliance, and operational readiness.

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.

Nice to have

4+ years of experience in cloud/infrastructure technologies, IT consulting/support, software development/support, technology solutions, practice development, or software architecture.
Technical certification in cloud platforms (e.g., Azure, AWS, Google Cloud, or security certifications).
Hands-on experience building AI and agentic solutions, including Microsoft 365 Copilot and Agents/Copilot extensibility (e.g., agents, plugins, connectors) using tools such as Visual Studio/VS Code, Teams Toolkit, and Copilot Studio.
Advanced proficiency in professional coding languages (e.g., C#, TypeScript, Python, JavaScript) for building, customizing, and extending AI/agentic solutions.
Understanding of Microsoft 365, Teams, Microsoft Graph, and modern integration patterns for enterprise scenarios (e.g., REST APIs, OAuth, Adaptive Cards), including how to apply these patterns to agent-assisted delivery experiences.
Ability to design and implement declarative and pro-code agents that automate delivery workflows, improve quality and consistency, and deliver tailored AI-powered experiences aligned with customer outcomes.
Experience with Copilot Studio and the Power Platform for creating and managing custom agents (e.g., topics, triggers, generative instructions), and operationalizing them with appropriate lifecycle management.
Experience with Azure AI-based solutions and deploying, securing, and scaling AI/agentic solutions in enterprise environments, including identity, data access, compliance, and governance considerations.
Demonstrated ability to build reusable, scalable solution patterns and reference implementations (pro-code and declarative) that can be adopted broadly by CSA teams.
Experience redesigning delivery models and/or technical content into scalable, repeatable playbooks, accelerators, or service offerings (agent-assisted delivery preferred).
Security mindset with practical experience designing for governance, least privilege, data boundaries, and enterprise readiness from day one.

Microsoft Corporation - All Job Offers

Select Country

Global Solution Architect - AI Transformation

Job Description

Job Responsibility

Requirements

Nice to have

Looking for more opportunities?