Seeking a hands-on AI Engineer Lead to lead engineering and production implementation of enterprise Generative AI solutions on Microsoft Azure .

The role will translate AI architecture into scalable, secure, production-ready solutions while providing technical leadership to the engineering team.

Key Responsibilities Lead end-to-end AI engineering from design and development through testing and production deployment.

Build LLM, RAG and Agentic AI solutions using Microsoft Foundry, Azure OpenAI and Azure AI Search.

Develop RAG pipelines covering chunking, embeddings, vector/hybrid search, retrieval, reranking and grounding.

Build AI agents, tool/function calling, structured outputs and enterprise API integrations.

Lead code/design reviews, troubleshoot complex technical issues and ensure production readiness.

Mentor AI engineers and convert architecture into executable engineering tasks.

Work closely with AI Architects, Product Owners, business, data,



cloud and security teams.

Required Experience 8+ years of software engineering/application development experience. 3+ years of Azure/cloud-native development experience.

Solid hands-on experience delivering GenAI/LLM, RAG and Agentic AI solutions .

Experience leading engineering teams and taking AI solutions from PoC to enterprise production .

Must-Have Skills GenAI / LLMs, RAG and Agentic AI Microsoft Foundry, Azure OpenAI, Azure AI Search Python and REST APIs Prompt engineering and embeddings Vector/hybrid search and retrieval/reranking Function/tool calling and structured outputs LLM evaluation, grounding and hallucination mitigation Guardrails/content safety and context/token management Production-grade cloud application development and troubleshooting

📌 Lead AI Engineer (Canada)
🏢 Cloudious
📍 Canada