Senior Azure Platform Engineer Location:
Wayzata, MN (Hybrid) Contract Position About the Role Join a high-impact GenAI Discovery and Prototyping team as a Senior Azure Platform Engineer, leading the development of next-generation enterprise solutions that integrate large language models (LLMs) and scalable data pipelines. This role offers the opportunity to shape core platform architecture, modernize legacy systems, and work hands-on with the latest in AI-powered applications. Collaborate with cross-functional platform and security teams in a flexible hybrid work environment, with the potential for career advancement in the growing field of enterprise AI and cloud solutions. Responsibilities
- Architect, develop, and maintain fullstack features using C# for backend services and React with TypeScript for frontend interfaces
- Integrate enterprise data sources with LLM-powered prototypes, ensuring secure, validated, and structured data handling
- Implement AI integration concepts, such as Model Context Protocol and skills-based application workflows
- Deploy and manage applications through automated CI/CD pipelines using Microsoft Azure and Azure DevOps
- Collaborate with platform and security teams to troubleshoot and optimize applications within complex enterprise environments
- Modernize legacy systems and migrate workflows toward cloud-native, twelve-factor architecture
- Proactively resolve technical challenges and drive features from concept to production with minimal supervision Required Skills and Experience
- Bachelor's degree in Computer Science, Software Engineering, or related technical discipline, or equivalent practical experience
- Minimum 7 years of professional software engineering experience in enterprise or fast-paced settings
- Proven hands-on experience integrating generative AI/LLMs into application workflows or data pipelines
- Advanced proficiency in C# backend development and React/TypeScript frontend development within the Node.js ecosystem
- Strong experience with Microsoft Azure services, CI/CD processes, and Azure DevOps
- Familiarity with twelve-factor application design, containerization, modern monitoring, and logging practices Preferred Skills
- Experience in multi-cloud environments, including AWS and AWS EKS
- Background in animal nutrition, dietary software, or large-scale formulation platforms
- Hands-on experience modernizing legacy architectures or leading major platform migrations
- Understanding of enterprise AI security, governance, and data privacy controls Benefits
- Work on cutting-edge AI solutions and enterprise cloud platforms
- Hybrid work flexibility in a collaborative environment
- Opportunities for professional growth and leadership in a rapidly evolving technical domain How to Apply Ready to build the future of AI-driven enterprise platforms?
Submit your resume today to be considered for this dynamic and rewarding opportunity.