Title: Senior Cloud AI Solutions Consultant Location: Chicago, IL · Information Technology Job Description: 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 solution