Overview:
We are seeking a Lead .NET Solutions Architect with strong hands-on development experience across .NET/C#, full-stack application development, Angular/React, and AI/ML technologies.
The ideal candidate will have proven experience implementing RAG, LLM, and Generative AI solutions while providing technical leadership across end-to-end software delivery.
This is an 80% hands-on development role, so candidates must be comfortable working directly in the codebase in addition to driving architecture and technical direction.
Responsibilities:
Lead the design, development, and maintenance of full-stack applications using .NET/C#, Angular and/or React.
Design scalable backend architectures using .NET/C#, REST APIs, microservices, and service-oriented architecture.
Provide technical leadership across end-to-end application delivery.
Develop modern, high-performing frontend applications using Angular and/or React.
Integrate AI tools, frameworks, APIs, LLMs, and Generative AI platforms into applications and development workflows.
Implement AI/ML capabilities and RAG/LLM-based features within software solutions.
Drive AI-assisted development practices including code generation, intelligent code review, automated documentation, and AI-based test generation.
Evaluate emerging AI technologies and determine how they can be effectively incorporated into existing solutions.
Remain approximately 80% hands-on development focused while providing architecture and technical leadership.
Required Qualifications
Strong hands-on experience with C#/.NET development.
Proven Solution Architecture or Technical Architecture experience.
Strong full-stack application development experience.
Hands-on experience with Angular and/or React.
Strong experience with REST APIs, microservices, and service-oriented architecture.
Experience delivering software solutions end-to-end.
Hands-on experience with AI/ML, Generative AI, LLMs, and RAG.
Experience integrating LLMs, AI APIs, frameworks, or GenAI platforms into applications.
Experience developing or integrating LLM-powered features and AI/ML capabilities.
Experience with AI-assisted software development, including code generation, automated testing, intelligent code review, documentation, or LLM-based analysis.
Experience evaluating and integrating AI tools and technologies into existing development workflows.
Strong communication and technical leadership skills.
Comfortable working in a highly hands-on development role.
Preferred Qualifications
Experience leading adoption of AI-first development practices across engineering teams.
Experience working with multiple GenAI platforms, LLM frameworks, or AI development tools.
Experience modernizing existing .NET applications with AI/ML capabilities.