Overview
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.
Required Skills & Experience
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.
