Senior Microsoft AI Developer (Azure / Python)

Design, build, and deploy production-grade GenAI solutions (AI agents, copilots, RAG pipelines) with a focus on scalability, reliability, and performance Own end-to-end architecture of AI systems on Azure, including integration with enterprise data platforms and backend services Lead the development of LLM-powered applications using Azure-native services and modern orchestration frameworks Implement LLMOps practices , including monitoring, logging, evaluation, prompt/version management, and cost optimization Translate business requirements into technical AI solutions and define scalable implementation strategies Ensure security, governance, and compliance across all AI solutions Optimize AI systems for latency, cost, and accuracy in production environments Provide technical leadership , mentor engineers, and drive best practices in system design and code quality

Proven experience as a Senior or Lead Engineer delivering production-grade AI/ML or GenAI solutions Strong hands-on expertise in Azure , including designing and deploying end-to-end AI architectures Experience with Azure AI Foundry , Azure OpenAI , and enterprise AI service integration Solid experience building AI agents using Microsoft Agent Framework (or similar frameworks) Strong Python experience building AI applications, APIs, and LLM-based services (not only data pipelines) Strong experience with RAG architectures , prompt engineering, and LLM orchestration Experience with Databricks, Azure Data Factory, and SQL for data-driven AI solutions Hands-on experience with LLMOps / MLOps practices (monitoring, evaluation, versioning, deployment pipelines) Strong understanding of system design, scalability, and distributed systems Proven ability to deliver measurable impact in production environments (e.g., automation, cost savings, performance improvements) Strong communication skills with the ability to work with both technical and non-technical stakeholders Experience leading technical initiatives and mentoring engineers in a delivery-focused environment