Cloud Solution Architecture : AI Apps & Agents

A Cloud Solution Architect (CSA) within the Technical Success team focused on AI Apps & Agents will be responsible for:

• Understand customers' AI transformation business priorities and success measures.
• Innovate with AI Application solutions that drive business value.
• Ensure Solution Excellence:
  Deliver solutions with high performance, security, scalability, maintainability, repeatability, reusability, and reliability upon deployment. Gather insights from customers and partners.

• Drive Consumption Growth:
  Develop opportunities to enhance Customer Success and help customers extract value from their Microsoft investments. Curate and produce high quality guidance for our internal and external communities and customers.
• Unblock Customer Challenges:
  Leverage subject matter expertise to identify resolutions for customer blockers. Follow best practices and utilize repeatable IP.
• Build repeatable IP and assets that create velocity in deployment and drive customer value from their Unified investment. Continuously look to improve upon these assets utilizing the best of field inputs.
• Architect AI Applications & Solutions:
  Apply technical knowledge to design solutions aligned with business and IT needs. Create Innovate with AI roadmaps, lead POCs and MVPs, and ensure long-term technical viability.

• Advocate for Customers:
  Share insights and best practices, collaborate with the Engineering team to address key blockers, and influence product improvements, roadmap and feature prioritization.
• Continuous Learning:
  Stay updated on market trends, collaborate with the AI technical community, and educate customers about the Azure AI platform.
• Accelerate Outcomes:
  Through engaging with field teams, share expertise, contribute to IP creation, and promote reusability to accelerate customer success, as well as collate feedback on assets to drive improvement and leverage field teams inputs.

• Bachelor's degree in computer science, Information Technology, Engineering, Business OR related field AND proven experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or Business Applications consulting OR equivalent experience.

• Business Value:
  The ability to convey the business needs and value of proposed solutions, plans, and risks to stakeholders and decision makers. This includes the ability to persuade and inform based on facts and alignment with goals and strategy.
• Trusted Advisership:
  The ability to build trusted advisor status and deep relationships across stakeholders (e.g., technical decision makers, business decision makers) through an understanding of customer needs and technologies.
• Situational fluency:
  Using self-awareness as a mechanism to interpret verbal and non-verbal cues to increase your ability to "read the room."
• Insightful listening: asking insightful questions to understand the customer needs, issues, business environment and drivers, and going beyond what customer has said., 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:
• Deep Domain Expertise in Azure AI Areas:
  Deep domain expertise in one of the Azure AI specific areas, such as Cognitive Services, Machine Learning, Azure OpenAI and CoPilot OR hands-on experience working with the respective products at the expert level.
• Programming Languages and Integration:
  Proficient with Python, C#, R, JavaScript, or similar programming languages in the context of application development, and ability to integrate Azure AI with other services (e.g., Azure Functions, Kubernetes, Docker, API Management).
• Architecting Enterprise-Grade Solutions:
  Proven experience building enterprise-grade, AI-focused solutions on the cloud (Azure, AWS, GCP) for customers, from Minimum Viable Products (MVPs) leading to production deployments.
• Dev Ops and MLOps:
  Strong…