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; 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. 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. Apply business value principles prioritizing ROI, productivity, adoption/usage intensity, and long-term operational efficiency. Collaborate with bid teams to prepare costed, traceable solution approaches with trade-offs, AI risk posture, and clear positions on responsible AI. Establish enterprise-grade architecture to support scaled Copilot and agent deployments. Design Copilot extensibility solutions with secure data access patterns and clear user/agent experience flows. Apply GitHub Copilot to accelerate engineering, enforce secure coding and quality, and improve delivery velocity for agentic solutions. Build strong networks and influence across customer and internal teams to remove barriers and accelerate Copilot and agent adoption. Support Sales teams in winning and expanding enterprise engagements by leading with Copilot and Agents as the transformation entry point. Guide Low‑Code / No‑Code AI adoption across Power Platform and Copilot-‑enabled development to accelerate business process transformation. Apply engineering excellence and DevOps practices (CI/CD, quality gates, automation, observability) using Azure DevOps and GitHub. Guide sprint/iteration planning, dependency mapping, and end‑to‑end release alignment to move from pilots to scaled production adoption. Provide advisory guidance for Copilot and agent architecture, design, and delivery execution. 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. Bachelor's 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). Strong hands‑on background in Business Applications and CRM solution delivery across medium to large enterprises. EndtoEnd IT / Low Code Business Applications Delivery Expertise across the full lifecycle of IT Solutions Delivery: Estimation, Proposal Development, Requirements, Business Process Modelling, Design, Development, Testing, Deployment, and Operations. Proven delivery experience on Power Platform, M365, Copilot Studio solutions across industries. Experience building or extending solutions using M365 Copilot and hands on Copilot Studio expertise. Proficiency using GitHub Copilot or similar tools to accelerate solution development, improve engineering productivity, maintain coding standards, and support modern DevOps workflows. Strong capability in Low Code architecture covering: Copilot Studio, Power 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 and Copilotenabled experiences 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 communication and stakeholder management skills, with the ability to influence without authority across global, multigeography delivery models.