Lead the design, development, and operation of complex software and AI solutions. Build production-grade copilots, autonomous agents, and multi-agent workflows. Create architecture patterns, frameworks, APIs, and platform capabilities for AI integration. Design secure integration with enterprise applications and data sources. Develop evaluation frameworks focusing on accuracy, relevance, safety, and reliability. Implement observability to monitor applications, models, and agents effectively. Drive architectural decisions for model selection, scalability, and optimization. Apply security, privacy, and compliance controls across the engineering lifecycle. Address risks like prompt injection, data leakage, and unsafe actions proactively. Resolve complex production incidents and technical issues efficiently. Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Advanced proficiency in one or more languages such as C#, Python, Java, JavaScript, or TypeScript. Experience designing, delivering, and operating distributed cloud services or enterprise-scale platforms. Proven experience building AI-enabled applications using LLMs, prompt engineering, embeddings, vector search, and RAG. Strong understanding of system design, distributed systems, APIs, resiliency, security, and observability. Practical experience with Azure OpenAI, Azure AI Foundry, Semantic Kernel, AutoGen, or similar AI platforms. Experience deploying enterprise-scale copilots, AI agents, RAG platforms, or multi-agent systems into production. Knowledge of AI evaluation, responsible-AI practices, content safety, and human-in-the-loop mechanisms. Familiarity with Azure technologies such as AKS, App Service, Cosmos DB, Event Hubs, or Azure Monitor. Expertise in Kubernetes, containers, IAC tools, private networking, and Zero Trust architecture. Strong background in MLOps, experimentation, and AI telemetry with model lifecycle expertise.