Senior Cloud AI Solutions 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

Created: 2026-03-10