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Senior Cloud AI Solutions Consultant

CoSourcing Partners Inc., Chicago, Illinois, United States, 60290

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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

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