Cloud Solution Architecture- Entry Level

Engage with customer developers & engineers to understand their application, data, and AI priorities, and build secure AI & Agentic solutions that drive business value and customer satisfaction. Work on technical engagements across architecture design, Proof of Concepts (POCs), and Minimum Viable Products (MVPs) to accelerate adoption of Copilot, Copilot Studio, Foundry, Fabric, Azure AI, App Services, GitHub, and data platforms. Leverage AI to automate and deliver repeatable processes that help customers achieve faster outcomes and deliver repeatable IP aligned with AI and Agentic Solutions Engage in relevant communities to share expertise, contribute to IP creation, prioritize IP re-use, and learn from others to help accelerate your customer's AI transformation journey. Act as the Voice of the Customer by sharing insights and feedback with account teams to identify opportunities and remove adoption blockers. Maintain deep technical expertise and stay current with AI trends and technologies such as Copilot, Copilot Studio, Foundry, Fabric, Azure, AI, GitHub, Security solutions, while contributing to internal and external technical communities. Actively participate in onboarding, technical training, and ongoing skill development programs. Incorporate coaching feedback to improve technical accuracy, efficiency, and customer interaction quality Demonstrate a growth mindset by continuously aligning your skills to current and future customer needs Support a positive, inclusive, and customer‑focused team culture. Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field OR equivalent experience. 1+ years' experience in AI/cloud technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting. Technology Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications) Hands-on experience in AI technologies. Good written and verbal communication skills. Knowledge of Azure networking, compute, storage, and identity. Knowledge of SQL and basic Python. Understanding data pipelines and data lakes. Basic understanding of generative AI and enterprise data integration. Understanding of cloud security and monitoring. Ability to follow structured processes and work effectively in a defined support environment. Ability to follow a documented method precisely, and to say so clearly when it does not fit what you are seeing.