What are the responsibilities and job description for the Senior Cloud AI Solutions Consultant position at CoSourcing Partners?
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
- 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
- Experience evaluating LLM performance using testing or numerical methods
- Familiarity with intelligent automation platforms or patterns
- Experience with Microsoft Power Platform
- Not a data science or research role
- Not a junior or mentorship-only position
- Not focused on model training or academic ML work
- 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