Architect - AI Business Solutions

Overview

  Microsoft Industry Solutions Delivery (ISD) is a global organization hosting over 6,000 strategic sellers, industry and security experts, elite engineers, world-class data scientists and architects, consultants, and delivery specialists. Together with our partners, we help Microsoft’s most strategic customers worldwide to address their specific challenges and provide comprehensive and industry-specific solutions that meet their unique needs. ISD is at the forefront of innovation, driving value across the entirety of the customers’ digital and AI transformation journey through repeatable and customized cutting-edge solutions through strategic engagements with customers across the globe powered by Microsoft Cloud and AI. Microsoft Industry Solutions Delivery (ISD) is a global organization hosting over 6,000 strategic sellers, industry and security experts, elite engineers, world-class data scientists and architects, consultants, and delivery specialists. Together with our partners, we help Microsoft’s most strategic customers worldwide to address their specific challenges and provide comprehensive and industry-specific solutions that meet their unique needs. ISD is at the forefront of innovation, driving value across the entirety of the customers’ digital and AI transformation journey through repeatable and customized cutting-edge solutions through strategic engagements with customers across the globe powered by Microsoft Cloud and AI.

Responsibilities

Understanding Customer Technical Environment

• Engage business sponsors, product owners, Enterprise Architects, Security, and Operations leaders to frame outcomes and define the target agentic scenarios.

• Assess customer AI readiness across identity, data, security/compliance, and operating model; identify gaps to unlock Copilot and agent adoption at scale.

• Identify industry and technology trends including AI adoption patterns, Low‑Code modernization, Copilot usage, GitHub Copilot assisted development, and data readiness to influence solution architecture direction.

• Translate business requirements  into end-to-end solution options across Power Platform, Azure, and Microsoft 365 Copilot/Copilot Studio extensibility.

• Socialize solution approaches with customers, validating feasibility, operating impact, scalability, and change management required for Copilot and agent rollouts.

• Maintain an iterative feedback loop with Product Engineering and internal communities to relay field insights that shape M365 Copilot, Copilot Studio, Power Platform capabilities for agentic engagements.

• Partner with account and delivery teams to shape the solution play, refine estimates, adjust pre‑sales solution components, govern scope changes, and position technical risks for agentic AI adoption.

Architecture Design and Deployment

• Apply structured delivery methodologies (Agile/Iterative/Hybrid) and reference architectures to design scalable Copilot and agentic solutions.

• Own and maintain architectural documentation, including agent design specs, integration contracts, and operational runbooks.

• Define and communicate end-to-end architecture with traceability from business outcomes to agent behaviors, tools, data grounding, quality attributes, and compliance controls.

• Lead cost- and technology-based discussions to assess feasibility, deployment options (cloud/edge), scale, and customer appetite for agentic innovation.

• Apply business value principles prioritizing ROI, productivity, adoption/usage intensity, and long-term operational efficiency.

• Partner with the Project Manager to drive governance across design, build, testing, deployment, pilots, and scale-out of Copilot and agent capabilities.

• Validate delivered business value (revenue enablement, productivity uplift, customer/employee experience improvement, cost savings) and connect outcomes to telemetry and adoption signals.

• Direct development and execution of test strategies (functional, security, privacy, and AI evaluations) to prove requirement compliance and support remediation and sign-off.

• Collaborate with bid teams to prepare costed, traceable solution approaches with trade-offs, AI risk posture, and clear positions on responsible AI.

• Lead implementation with the Project Manager, establishing quality standards, release planning, and operational transition for agentic workloads.

• Highlight invalidated assumptions and drive refine…