Architect AI Business Solutions

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;identifygaps to unlock Copilot and agent adoption atscale.

• Identifyindustry and technology trends including AI adoption patterns LowCode modernization Copilot usage GitHub Copilotassisteddevelopment and data readinessto influence solution architecture direction.

• Translatebusinessrequirementsintoend-to-end solution options across Power Platform Azure and Microsoft 365 Copilot/CopilotStudioextensibility.

• Socialize solution approaches with customersvalidatingfeasibility operating impact scalability and change managementrequiredfor 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 Platformcapabilities for agentic engagements.

• Partner with account and delivery teams to shape the solution play refine estimatesadjust presales solution componentsgovern scope changes and position technical risks for agentic AI adoption.

ArchitectureDesign and Deployment

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

• Own andmaintainarchitectural 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 Managerestablishingquality standards release planning and operational transition for agentic workloads.

• Highlight invalidated assumptions and drive refinements through structured change control and continuous learning from production usage.

AI CopilotLowCode and AgentExtensibility

• Establish enterprise-grade architecture to support scaled Copilot and agent deployments.

• Design Copilotextensibilitysolutionswith secure data access patterns and clear user/agent experienceflows.

• Use Copilot Studio to build and manage agents (topics/actions orchestration channels monitoring)for customer productivity improvement and business process transformation.

• Apply GitHub Copilot to accelerate engineering enforce secure coding and quality and improve delivery velocity for agentic solutions.

Practice Development

• Continuously evaluate and evolve architectural approaches based on fieldlearnings product roadmap and responsible AI guidancetomaintainahighqualityIP portfolio.

• Drive reuse of IP across pre-sales and delivery to acceleratepipeline improve quality and standardize agentic delivery reuse of IP across presales and delivery engagements.

• Contribute to internal and external Microsoft professional communities by sharing patterns learnings and reusable agent/Copilot assets.

Trusted Advisor

• Build strong networks and influence across customer and internal teams to remove barriers and accelerate Copilot and agent adoption.

• Stay current on Microsofts AI Business Solutions strategy and communicate platform direction acrossM365Copilot Copilot Studio Power Platform and Azure.

• Act as the technical conscience balancing customer expectations with feasibility security privacy and responsible AI practices.

Thought Leadership

• Share insights reusable patterns and strategic guidance for Copilot and agentic architectures across global communities.

• Mentor technical talent on agentic design patterns Power Platform governance Copilot extensibility and responsible AI engineering.

PreSales

• Discover customer priorities and pain points to shape Copilot and agenticsolution playsthat deliver measurable business outcomes.

• Propose architectures and roadmaps with clear assumptions for data readiness identity/permissions integrations and AI risk controls.

• SupportSales teamsin winning and expanding enterprise engagements by leading with Copilot and Agents as the transformation entry point.

• Own technical estimates and delivery approach for agentic engagements using proven experiencebasedestimation methods and reusable accelerators.

Solution Delivery

• GuideLowCode / NoCodeAIadoptionacrossPower Platformand Copilot-enabled development to accelerate business process transformation.

• Lead governance and deployment of Copilot Studio agents ensuring security responsible AI connector controls and data boundary alignment.

• Deliver custom Microsoft 365 Copilot extensions using approved SDKs plugins/connectors automation frameworks and secure data access patterns.

• Apply engineering excellence and DevOps practices (CI/CD quality gates automation observability) using Azure DevOps and GitHub.

• Guidesprint/iteration planning dependency mapping andendtoendrelease alignment to move from pilots to scaled production adoption.

Quality Assurance

• Review solutions for requirement fidelity security/privacy posture responsible AIcompliance technicalquality bestpractice alignment and operational readiness

• Provide advisoryguidancefor Copilot and agent architecture design and delivery execution.

• Enforce best practices for Copilot Studio agent lifecycle management grounding strategies evaluations and monitoring for continuousimprovement.

Required/Minimum Qualifications

• Bachelors degree in Computer Science Information Technology Engineering or related field AND 14 years in technology solutions architecture consulting or specialized technical domains (e.g. Security).

OR

• Masters degree in related field AND12 years in technology solutions architecture consulting or specialized technical domains.

OR

Equivalent experience.

• Experience with a Global Systems Integrator IT Vendor or Microsoft Partner delivering enterprisescale Microsoft Business Applications.

• Strong handson background in Business Applications and CRM solution delivery across medium to large enterprises.

Additionalor Preferred Qualifications

EndtoEndIT /Low CodeBusiness Applications Delivery

• Expertiseacross the full lifecycleof IT Solutions Delivery: Estimation Proposal Development Requirements Business Process Modelling Design Development Testing Deployment andOperations.

• Proven deliveryexperienceonPower Platform M365 CopilotStudiosolutions across industries.

• Experience building or extending solutions using M365 Copilot and hands on Copilot Studioexpertise.

• Proficiencyusing GitHub Copilotor similar toolsto accelerate solution development improve engineering productivitymaintaincoding standards and support modern DevOps workflows.

Architecture Design & Technical Leadership

• Strong capability in Low Code architecture covering:

• Copilot StudioPower Apps Power Automate Power Pages Dataverse

• Environment strategy DLP governance frameworks

• ALM and solution structuring

• Enterprise maturity model implementation

• Handson experience implementing and leading architecture & solution design efforts in one or more of the following:

• Power Platform (Apps Automate Pages Dataverse)

• M365 extensibility andCopilotenabledexperiences

• Low Code AI Solutions based on Copilot Studio or similar solutions

• Azure integrations Logic Apps Functions API Management

• Security Compliance Identity and Responsible AI

• Strong communicationand stakeholder management skills with the ability to influence without authority across globalmultigeographydelivery models.