AI Solutions Architect with cloud expertise

- Convert roadmaps, principles, and guidelines into detailed solution designs and architectural frameworks for ongoing initiatives - Identify shortcomings in standards and propose realistic updates for evaluation and approval through architecture governance forums - Design scalable, governed AI agent systems in alignment with enterprise strategies - Enhance organizational capability in agent-based AI solutions - Generate and maintain comprehensive architectural designs (logical, integration, deployment views), non-functional requirements, and clear decision trade-offs - Ensure accurate implementation of designs by engineering through precise specifications, design reviews, and direct guidance - Minimize production risks via strong design, evaluation, and monitoring - Define and advance integration strategies across ERP (D365), CRM, data platforms, and custom applications; standardize API management and data flows while streamlining legacy interfaces - Assess and align third-party integrations with enterprise architecture while resolving compatibility challenges and risks - Lead efforts that improve delivery quality and predictability, including coding and testing standards, scope/testing strategies, DevOps pipeline readiness, and definition of completion criteria - Tackle risks and performance/scalability concerns proactively with clear mitigation strategies - Engage with the Architect Review Board (ARB) by discussing patterns, reference architectures, and input for exception handling - Establish standards and patterns for Copilot Studio agents and Fabric-integrated solutions - Investigate, evaluate, and recommend emerging technologies (AI, low-code/RPA, cloud-native services) emphasizing business value; support or lead proofs of concept to showcase results - Incorporate insights to enhance standards, templates, and recommended stacks (like Azure DevOps pipelines; Fabric/Power Platform/Synapse when appropriate)