Senior Associate, Azure AI Engineer

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As a Senior Associate - Azure AI Engineer in PwC's Advisory practice, you will design and build generative AI solutions for clients on Microsoft Azure. The role spans AI architecture, prompt and context engineering, retrieval-augmented generation, and agent orchestration through testing, deployment, and maintenance. You will own workstreams, mentor junior colleagues, and translate business needs into technical deliverables.

• Design Azure-based generative AI architectures and analytical models that turn client data into actionable insights
• Build conversational applications with Azure AI Services, Azure OpenAI Service, LLM APIs, and prompt/context engineering
• Develop retrieval-augmented generation pipelines using vector databases and information retrieval systems
• Orchestrate AI agents with LangGraph, LangChain, and Model Context Protocol, including tool access and error handling
• Create cloud-native microservices in Python, C#, and JavaScript integrated through Azure API Management
• Apply DevOps and LLMOps practices to deploy and maintain solutions on Azure Kubernetes Service
• Evaluate model outputs and application behavior with LLM evaluation, guardrails, and performance monitoring
• Mentor junior team members, review deliverables, and clarify client requirements

• Bachelor's degree
• At least 3 years of relevant experience
• Experience building generative AI applications with Azure AI Services, Azure OpenAI Service, and LLM APIs
• Experience orchestrating AI agent workflows with LangGraph and Model Context Protocol
• Experience developing RAG pipelines with vector databases and context engineering
• Experience deploying Python or C# microservices on Microsoft Azure with DevOps practices and AKS
• Willingness to travel up to 80%

• Experience evaluating LLM outputs and applying guardrails
• Familiarity with GitHub Copilot and Claude Code in development and testing
• Strong client communication and ability to explain design tradeoffs