Full Stack .NET Architect - GenAI Experience (Remote)

This position is open to candidates located anywhere in the United States.

Candidates are welcome to work remotely or out of one of our regional offices.

We are seeking a visionary Full Stack Engineering Architect with proven expertise in Generative AI (Gen AI) to drive the design and implementation of groundbreaking intelligent applications.

The ideal candidate will possess deep technical acumen across front-end and back-end development, cloud architectures, and the latest advancements in AI and machine learning, particularly Gen AI platforms and techniques.

• Architect, design, and oversee development of scalable, secure, and robust full stack solutions integrating Gen AI capabilities.
• Guide cross-functional engineering teams in building end-to-end web and mobile applications leveraging modern frameworks and cloud services.
• Lead the integration of state-of-the-art Gen AI models (e.g., LLMs, transformers, generative image and text models) into core business products.
• Collaborate with product managers, data scientists, and UX/UI designers to deliver seamless, user-centric AI experiences.
• Establish and enforce software architecture best practices, coding standards, and agile development methodologies.
• Evaluate emerging AI technologies and tools, providing strategic recommendations for adoption and implementation.
• Mentor engineers, championing technical excellence and continuous learning within the team.
• Ensure solutions are compliant with security, privacy, and regulatory requirements relevant to Gen AI applications.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 10+ years of experience in full stack development .Net, cloud computing (Azure), and modern DevOps practices.
• Experience with Microsoft Azure OpenAI Service.
• Demonstrated hands-on expertise in deploying and scaling Gen AI models (OpenAI, Hugging Face, custom LLMs, etc.).
• Strong understanding of microservices, API design, containerization (Docker, Kubernetes), and CI/CD pipelines.