Enterprise Cloud Solution Architect - Cloud & AI
Microsoft
Overview
In this role you will be a senior Azure strategy and delivery expert, guiding large enterprises through Cloud & AI transformations. You drive consumption, advise executives, and shape multi-year Azure plans across priority accounts. You’ll lead architectural visions for secure, scalable solutions using CAF and WAF, and mentor teams to foster a culture of learning. This is a chance to influence AI adoption at scale while partnering with cross‑functional stakeholders to deliver business value.
Responsibilities- Act as trusted advisor to senior leaders (e.g., CTO, CIO) to define and execute Cloud & AI strategies
- Provide technical vision for high-impact, complex projects
- Influence solutions and drive Azure consumption through expert discussions with customers
- Lead and accelerate Azure consumption plans aligned with customer success
- Inspire AI adoption at scale and guide transformation journeys with clarity
- Identify and resolve business and technical challenges to accelerate value realization
- Oversee architectural design workshops and ensure secure, scalable end-to-end solutions using CAF/WAF practices
- Collaborate with account teams to support planning, deals, and execution of consumption and success plans
- Share responsibility for Azure and Unified Health within accounts, supporting renewals and expansion
- Demonstrate mastery across AI, infrastructure, and data for production-scale AI use cases
- Maintain advanced certifications and expertise in priority workloads (Azure AI Foundry, GitHub, App Services, Databricks, Fabric)
- Mentor and upskill the technical community and act as a spokesperson and thought leader
- Bachelor's Degree in a related field and 7+ years in cloud/infrastructure technologies, IT consulting/support, systems administration, or related areas
- 6+ years in a customer-facing role
- 6+ years leading technical projects
- Technical Certification in Cloud (Azure, AWS, Google) or security certifications
- equivalent experience acceptable
- Relationship management
- Strong communication and advisory capabilities
- Growth mindset and continuous learning
- Azure cloud architecture
- Cloud adoption frameworks (CAF) and Well-Architected Framework (WAF)
- AI applications and production-scale AI use cases
Reference: WJ-747_31226777