Solution Engineering -Cloud &AI
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Key skills for this role
Role Overview
Microsoft Innovation Hub helps customers address business challenges through engagements combining multiple areas of expertise.
The Solution Engineer will combine business and technical requirements to craft comprehensive solutions and guide AI transformation.
The role includes discovery sessions, strategic recommendations, solution implementation, technology integration, and stakeholder collaboration.
Key Skills for This Role
Full Job Posting
Overview
Microsoft Innovation Hub helps customers address business challenges through engagements combining multiple areas of expertise.
The Solution Engineer will combine business and technical requirements to craft comprehensive solutions and guide AI transformation.
The role includes discovery sessions, strategic recommendations, solution implementation, technology integration, and stakeholder collaboration.
Workplace
- This role is Microsoft onsite only.
Responsibilities
- Prepare and deliver strategy sessions, envisioning workshops, architecture design sessions, and rapid prototypes.
- Guide customers and the business on AI platform and technology trends and transformation journeys.
- Prioritize AI use cases through design thinking workshops.
- Own and execute a strategic vision for AI transformation initiatives across targeted accounts.
- Collaborate with cross-functional teams to align initiatives with organizational goals and customer needs.
- Develop scalable, secure, and performance-optimized solution architectures based on customer requirements.
- Integrate capabilities across the cloud platform and optimize cross-platform integration.
- Maintain and grow expertise in AI solutions, AI management and security, real-time intelligence, and application architecture.
Required Qualifications
- At least 10 years of technical pre-sales or technical consulting experience is required.
- Alternatively, a bachelor's degree in Computer Science, Information Technology, or a related field plus at least 5 years of experience is required.
- Equivalent experience may be considered.
Preferred Qualifications
- Enterprise Architect experience designing and implementing large-scale, complex solutions is preferred.
- Consultative selling experience and strategic customer guidance are preferred.
- Experience capturing and prioritizing requirements, quantifying business value, and identifying issues, risks, and constraints is preferred.
- Experience designing, building, and deploying AI solutions across cloud or hybrid infrastructures is preferred.
- Understanding of AI-related Azure services and certification in relevant technologies or disciplines are preferred.
- Experience delivering design thinking, ideation, or similar problem-framing work is preferred.
About Microsoft
Microsoft's mission is to empower every person and every organization on the planet to achieve more.
Microsoft emphasizes a growth mindset, innovation, collaboration, respect, integrity, accountability, and an inclusive workplace.
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