Senior Consultant – Azure GenAI Backend Engineer (RAG & Serverless Focus) (PL795

Duration: 6-12 months contract (with the possibility of extension) Work Model: Remote, Canada Our client in the consulting space is seeking a Senior Consultant – Azure GenAI Backend Engineer to design and implement scalable Generative AI solutions with a strong focus on RAG architectures and Azure-native serverless platforms. This role requires deep expertise in Azure AI services, backend system design, authentication mechanisms, and cloud-native architecture to deliver secure, production-grade AI systems. Key Responsibilities • Design and implement RAG-based architectures using Azure OpenAI and Azure AI Search. • Develop backend APIs and services to support GenAI applications. • Architect and deploy Azure serverless solutions (Azure Functions, Logic Apps, Container Apps). • Build scalable data pipelines for indexing, embedding, and retrieval workflows. • Implement CI/CD pipelines for AI systems using Azure DevOps or GitHub Actions. • Define and implement system architecture ensuring performance, scalability, and high availability. • Apply infrastructure as code using Terraform or Bicep. • Collaborate with frontend, data, and AI teams to deliver end-to-end GenAI solutions. • Enforce security, governance, and compliance best practices. Requirements Core GenAI & Architecture • Hands-on experience building RAG solutions in production. • Strong understanding of LLMs, embeddings, vector search, prompt engineering. • Experience with Azure AI Search and Azure OpenAI. • Knowledge of agentic workflows (preferred). Azure & Cloud • Strong experience with: • Azure Functions • Azure Container Apps • Azure App Services • Azure Storage & Key Vault • Solid understanding of Azure networking & identity management. • Experience designing serverless architectures. Backend Development • Strong proficiency in Python, Java or node.js. • REST API development and microservices. • Strong system design capabilities. DevOps • CI/CD pipelines (Azure DevOps / GitHub Actions). • Docker & Kubernetes (good to have). • Infrastructure as Code (Terraform / Bicep). Nice to Have • AWS exposure. • Consulting experience. • Experience deploying AI systems in regulated environments. Apply tot his job Apply To this Job