Join a mission-driven organization focused on empowering customers to achieve more through AI and differentiated experiences. This role is central to accelerating customer AI transformation, leveraging Microsoft's cutting-edge products and services.

As a Cloud Solution Architect, you will design and build innovative AI and Agentic solutions. You'll play a key role in enhancing applications, streamlining business processes, and delivering tangible value to clients. This is an opportunity to work on technical engagements spanning design, build, and operations, directly impacting the adoption of Microsoft AI solutions.

This position offers a unique chance to rapidly advance your technical skills, develop strong consultative and communication abilities, and gain extensive hands-on experience with AI-driven systems. You will learn to deliver consistently and with excellence within customer environments, contributing to their AI transformation journey.

Engage directly with customer developers and engineers to understand their AI, data, and application priorities. Build secure, high-impact AI and Agentic solutions designed to drive business value and customer satisfaction.

Participate in technical engagements including architecture design, Proofs of Concept (POCs), and Minimum Viable Products (MVPs). Accelerate the adoption of key Microsoft technologies like Copilot, Azure AI, and data platforms.

Leverage AI to automate repeatable processes and deliver intellectual property (IP) aligned with AI and Agentic Solutions, enabling customers to achieve faster outcomes. Share expertise within relevant communities, contribute to IP creation, and learn from others to advance customer AI transformation.

Act as the Voice of the Customer, providing valuable insights and feedback to account teams to identify new opportunities and resolve adoption blockers. Maintain deep technical expertise and stay current with AI trends, contributing to both internal and external technical communities. Actively participate in onboarding, technical training, and skill development programs, incorporating feedback to enhance technical accuracy, efficiency, and customer interaction quality.

A Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience, is required. Minimum of 1 year of experience is expected in areas such as AI/cloud technologies, IT consulting/support, systems administration, network operations, software development, technology solutions, practice development, architecture, and/or consulting.

Preferred qualifications include technology certifications in Cloud platforms (e.g., Azure, AWS, Google) or security. Hands-on experience with AI technologies is highly beneficial. Strong written and verbal communication skills are essential. Familiarity with Azure networking, compute, storage, and identity, along with knowledge of SQL and basic Python, is advantageous.

Exposure to Microsoft Fabric, Azure Data Factory, or Azure Databricks, along with an understanding of data pipelines and data lakes, is desirable. A basic understanding of generative AI and enterprise data integration, as well as cloud security and monitoring, is also preferred.

Additional requirements include the ability to follow structured processes within a defined support environment, contribute to a positive, inclusive, and customer-focused team culture. A strong sense of curiosity and the discipline to thoroughly understand and document learned concepts are crucial. You should be able to follow documented methods precisely and clearly articulate when a method does not align with your observations.