Azure AI Solution Architect #1711

Role Overview You will be responsible for architecting and delivering Azure-native AI solutions across complex enterprise environments. This senior-level role requires deep technical expertise in Python, Azure OpenAI, Semantic Kernel, and modern LLM orchestration patterns, alongside the strategic capability to guide multi-year transformation programs and articulate AI strategies to senior stakeholders. Key Responsibilities · Architect and implement GenAI and agentic AI solutions on Azure. · Build intelligent agents using Azure AI Semantic Kernel, vector memory, and orchestration patterns. · Design scalable AI pipelines, LLM integrations, and model optimization workflows. · Lead customer workshops, define AI strategies, and guide multi-year transformation programs. · Provide technical leadership and best-practice guidance to delivery teams. · Engage directly in hands-on technical and keyboard activities. Skills & Experience ·10+ years of general IT experience, including at least 5+ years building and deploying solutions on Azure. · Strong Python engineering skills specifically tailored for LLM workflows and orchestration. · Hands-on experience with Azure AI Services, Azure Open AI, Cognitive Search, and vector databases. · Practical knowledge of agentic AI, MLOps/LLMOps, CI/CD, and enterprise governance. · Proven experience working indistributed, containerized environments, including Kubernetes and Git. Nice to Have · Relevant Microsoft Azure certifications, such as AI-102, AZ-204, or Solutions Architect. · Experience with data engineering and large-scale data processing platforms like PySpark and Databricks. Lawrence Pang l Educare Human Capital Reg No.: R1989674 l EA License No: 11C4731 Please note that the personal data you provided in your job application will be collected, used, and disclosed by Educare Human Capital to assess your suitability for employment and manage your application, includingconsideration for future opportunities.