AI Strategy Consultant

Job Title : Senior Cloud AI Solutions Consultant (.NET / Azure) Duration : 12 Months Location : Chicago - Remote Role Summary We are seeking a senior, client-facing Cloud AI Solutions Consultant who can lead technical design, make architecture decisions, and deliver production-ready cloud solutions that incorporate LLM and AI capabilities. This role requires strong C#/.NET engineering skills, hands-on Azure cloud experience, and the ability to independently guide clients and delivery teams from design through implementation. This is not a research or prototype role. You will work on real production systems, integrating AI capabilities into existing applications while ensuring scalability, reliability, and maintainability. If you are a senior .NET engineer with Azure experience who has implemented AI/LLM capabilities in real production systems and can confidently lead client design conversations, this role is for you. What You Will Do • Lead client and internal design sessions, providing clear technical direction on architecture, performance, scalability, availability, and reuse • Design and build cloud-native solutions in Azure using C#/.NET • Integrate LLM and AI capabilities into existing production applications, including evaluation of accuracy, cost, latency, and suitability by use case • Collaborate with engineers to implement designs efficiently within established production environments • Establish and enforce coding standards, architectural patterns, and CI/CD practices • Improve team efficiency through reusable components, shared patterns, and pragmatic automation • Provide clear, confident technical recommendations to clients and project leadership Required Experience • Bachelor’s degree in computer science, Engineering, or equivalent practical experience • 4+ years of professional software development experience • 4+ years of hands-on C#/.NET development in production environments • Experience designing and deploying solutions on Azure (other major cloud platforms acceptable) • Proven experience integrating LLM or AI capabilities into cloud-based applications • Experience with Azure DevOps pipelines and modern CI/CD practices • Ability to work independently, own technical decisions, and operate with minimal oversight Nice to Have: • Experience evaluating LLM performance using testing or numerical methods • Familiarity with intelligent automation platforms or patterns • Experience with Microsoft Power Platform What This Role Is Not: • Not a data science or research role • Not a junior or mentorship-only position • Not focused on model training or academic ML work Core Competencies: • Strong architectural judgment and problem-solving skills • Clear and confident communication with technical and non-technical stakeholders • Proven leadership in improving engineering efficiency and code quality • Practical, outcome-focused approach to AI and cloud solutions