Microsoft Cloud Solutions Architect
2 weeks ago
Pay Range: $80hr - $100hr
Responsibilities:
Customer Engagement and Digital Transformation:
- ctively engage with customers, partners, and account teams to deeply understand business needs and deliver impactful technical engagements.
- Lead digital transformation initiatives by envisioning, designing, and delivering solutions that leverage the Microsoft Cloud, including the transformative capabilities of Microsoft 365 Copilot.
- Design innovative enterprise solutions based on the Microsoft 365 platform, focusing on client-facing roles, and incorporating AI technologies like Microsoft 365 Copilot for automating time-consuming tasks.
- Inspire customers with a vision of their digital future, utilizing technical knowledge and showcasing the potential of AI in enhancing workplace productivity.
- Offer guidance and coaching to project teams, ensuring the adoption of best-practice architecture patterns for achieving project goals.
- Maintain adherence to quality assurance standards and manage risks during the solution design and delivery phases.
- Create competitive proposals reflecting thought leadership and develop pricing models and KPIs for evaluating project success.
- Provide Strategic Leadership: Contribute to the strategic direction of the practice and act as a trusted technical advisor to clients and internal teams.
- Conduct assessments to evaluate organizational readiness for leveraging Microsoft 365 Copilot, focusing on improving efficiency, collaboration, and productivity.
- Enhance organizational knowledge on how Microsoft 365 Copilot can automate tasks and provide tailored recommendations for securely setting up businesses for success with AI technologies (AI Experience is preferred).
- Strong working knowledge of Microsoft Cloud solutions and a customer-facing consulting background.
- Proven success in implementing and supporting Microsoft cloud-based solutions, with a preference for experience in AI technologies like Microsoft 365 Copilot.
- Excellent verbal and written communication skills, with the ability to analyze and resolve complex issues in collaboration with teams.
- Solid understanding of cloud architecture principles and patterns, such as scalability, availability, security, and reliability.
- Experience with Azure services and tools, such as Azure DevOps, Azure Resource Manager, Azure Active Directory, Azure Cognitive Services, and Azure Bot Service.
- bility to design and implement cloud solutions that meet the functional and non-functional requirements of the customers, using best practices and industry standards.
- Familiarity with AI concepts and frameworks, such as natural language processing, computer vision, machine learning, deep learning, and TensorFlow.
- Certification in Microsoft Azure or other relevant cloud technologies is preferred.
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