Overview:
In this role you design and build generative AI solutions for clients using Azure AI services. You will shape AI architectures, from data modeling to deployment, grounding model outputs in client data. Working across AI agents, prompts, and retrieval systems, you deliver cloud-native solutions and mentor junior teammates. This position emphasizes client collaboration, technical excellence, and reliable delivery within the Advisory practice, offering a chance to influence client outcomes at scale. Compensation / Benefits medical dental vision 401k vacation sick leave
Responsibilities:
Design Azure-based generative AI architectures and analytical models translating business needs into technical deliverables Build conversational apps using Azure AI Services, Azure OpenAI Service, and LLM APIs including prompt and context engineering Develop retrieval-augmented generation pipelines with vector databases and data grounding Orchestrate AI agents with LangGraph, LangChain, and Model Context Protocol across tools and workflows Create cloud-native microservices in Python, C#, and JavaScript integrated with Azure API Management and enterprise service buses Apply DevOps and LLMOps practices with GitHub Copilot and Claude Code for deployment on Azure Kubernetes Service Evaluate model outputs and implement guardrails with monitoring, identity, access, and key management controls Collaborate with clients and teammates to clarify requirements, manage workstreams, review deliverables, and mentor juniors
Key requirements:
Bachelor’s degree At least 3 years of experience Client-facing collaboration Critical thinking and decision making Mentoring junior team members Azure AI Services Azure OpenAI Service LLM APIs