Full Stack .NET Architect - GenAI Experience (Canada - Remote)

Das ist der Job

This position is open to candidates located anywhere in Canada.

Darum lohnt es sich

Guide cross‑functional engineering teams in building end‑to‑end web and mobile applications leveraging modern frameworks and cloud services. Mentor engineers, championing technical excellence and continuous learning within the team.

Qualifications 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. Track record of leading engineering teams and delivering complex projects from conception to production.

See more information on our benefits here: Canada Employee Benefits | Avanade Role Location: British Columbia/Ontario 131,000 - 156,000 CAD #J-18808-Ljbffr 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.

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. Ensure solutions are compliant with security, privacy, and regulatory requirements relevant to Gen AI applications.

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.

Experience architecting solutions with RESTful and GraphQL APIs, NoSQL/SQL databases, and real‑time data processing. Excellent problem‑solving, communication, and leadership skills. Passion for innovation and staying ahead of Gen AI trends. Preferred Skills Knowledge of Agentic AI concepts, frameworks, and their practical applications.

Experience with prompt engineering, fine‑tuning, and deploying custom Gen AI models. Knowledge of ethical AI practices, responsible AI frameworks, and related governance. Background in building AI‑powered chatbots, recommendation engines, or creative content tools. Familiarity with MLOps, model monitoring, and performance optimization.