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.

- Robust 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