Senior Cloud Solution Architect

Full Job Description

Facilitate scalable delivery through strong technical program management utilizing a factory model/approach, driving program awareness and demand across the regional operating units. Participate in intake reviews for milestone sizing, objection handling, and technical scoping. Ensure Solution Excellence: Deliver solutions with high performance, security, scalability, maintainability, repeatability, reusability, and reliability upon deployment. Deliver all work according to Factory best practices & policies and using repeatable IP. Architect Copilot Studio Agent Solutions: Apply technical knowledge to design solutions aligned with business and IT needs. Advocate for Customers: Share insights and best practices, collaborate with the Factory team to address key blockers, and influence improvements, roadmap and feature prioritization. Resolve technical blockers: Debug technical issues and provide fixes for engagements encountering blockers. Learn It All: Demonstrate Self Learner mindset through continuous alignment of individual skilling to team/area demands and Customer Success goals. Continuous Learning: Stay updated on market trends, collaborate with the technical community, and educate customers about the Copilot Studio capabilities and platform. Accelerate Customer Outcomes: Through engaging with field teams, share expertise, drive factory nomination pipeline, and promote Factory to accelerate customer success, as well as collate feedback upon execution to drive improvement and leverage field teams inputs. Business Process Analysis: Depict customer business processes and prepare for the analysis and improvement of business process performance. Articulate, demo, and present complex customer concepts to varying audiences, such as BDMs (Business Decision Makers) & ITDMs (Information Technology Decision Makers). Experienced in delivery management, opportunity qualification, stakeholder communication, and partner engagement, including opportunity and pipeline mgmt. Experience in ensuring customers realize value by consuming technology. Collaboration & field Engagement: Experienced in collaborating in virtual teams to develop and drive M365 Copilot usage opportunities through influence. Identify and document best practices and customer references/ Winwires. Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 4+ 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 Breadth of technical experience and knowledge in foundational security, foundational AI, architecture design, with depth / Subject Matter Expertise in one or more of the following: Low Code development experience - Power Platform experience is needed. Copilot 365 and Teams background is useful for the role 8+ years experience working in a customer-facing role and on technical M365/Power Platform/Copilot Studio projects. Architecting Enterprise-Grade Solutions: Deep knowledge of solution architecture, design, implementation, and/or support of Cloud/collaboration environments. Competitive Landscape knowledge of cloud and AI platforms. Understanding of M365 partner ecosystems and creation of Agents to solve customer needs. Breadth of technical experience and knowledge, with depth / SME in two or more of the following M365 solutions. M365 Copilot Power Platform/Copilot Studio Azure Foundry IDM, Information Protection & Compliance. Governance & Risk Management Agentic Workflows: Familiarity with Agent Framework, MCP, Langchain, or other agentic frameworks. Generative AI and Responsible AI: Foundational knowledge of current and emerging AI technology, including Generative AI technology applications and use cases (including, but not limited to, Large Language Models) and Foundational models toolsets. Understanding of Responsible AI practice including ethical considerations, bias mitigation, and fairness. Competitive Landscape: Understanding the competitive landscape is valuable; candidates should be aware of key AI platforms beyond Azure, such as AWS and GCP. Collaboration and Communication: Acknowledged for driving decisions collaboratively, resolving conflicts and ensuring follow through with exceptional verbal and written communication skills. Presentation skills with a high degree of comfort with both large and small audiences.

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