AI Engineer with Azure

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., * 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., * LLM evaluation, grounding and hallucination mitigation
• Guardrails/content safety and context/token management
• Production-grade cloud application development and troubleshooting

Preferred

Azure Machine Learning, multimodal AI, AI monitoring/observability, Responsible AI, CI/CD and Azure DevOps.

Regards

Patrick Fernandez

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