Cloud Solution Architecture Microsoft

Core Responsibilities
1. Drive AI Business Solutions Adoption
o Lead technical strategy and execution for Copilot, Workforce AI, and CCaaS deployments.
o Ensure wall-to-wall Copilot coverage across customer environments to maximize AI impact.
2. Accelerate Business Value
o Guide customers in realizing ROI from AI investments through business value conversations and usage excellence.
o Align solution delivery with customer success metrics and measurable outcomes.
3. Technical Leadership & Solution Architecture
o Design and implement AI-powered solutions leveraging Microsoft 365 Copilot, Dynamics 365, Power Platform, and integrated AI services.
o Provide deep technical expertise in Agentic AI and Copilot extensibility.
4. Adoption & Change Management
o Enable organizational readiness for AI transformation at scale.
o Partner with customer stakeholders to drive change management and user adoption.
5. Security & Responsible AI
o Apply Microsoft s SAFE (Secure AI for Everyone) framework and compliance standards.
o Ensure governance and risk mitigation in AI deployments.
6. Collaboration & Knowledge Sharing
o Work closely with CSAMs, ATUs, and delivery partners to ensure unified execution.
o Contribute to IP development, skilling initiatives, and best practice sharing within CSA GD.

Core Technical Expertise
AI Business Solutions:
o Deep understanding of Microsoft 365 Copilot, Copilot Studio, AI Agents, and CCaaS (Contact Center as a Service).
o Experience with Agentic AI concepts and Copilot extensibility for custom scenarios.
Microsoft Cloud Ecosystem:
o Strong knowledge of Microsoft 365, Dynamics 365, and Power Platform.
o Familiarity with Azure AI Services, Azure OpenAI, and integration patterns.
Architecture & Integration:
o Proven ability to design end-to-end AI-powered solutions across productivity, business apps, and data platforms.
o Expertise in API integration, workflow automation, and enterprise-grade deployments.

Business & Value Realization Skills
Ability to translate business objectives into technical solutions that deliver measurable ROI.
Experience in business value assessments, adoption planning, and change management for AI-driven transformation.
Strong capability to lead C-level conversations on AI strategy and governance.

Security & Responsible AI
Knowledge of Microsoft SAFE (Secure AI for Everyone) framework and compliance standards.
Experience implementing responsible AI principles, data privacy, and risk mitigation in enterprise environments.

Leadership & Influence
Demonstrated ability to lead cross-functional teams and influence stakeholders in complex enterprise engagements.
Experience in mentoring peers, contributing to IP development, and driving technical community skilling.