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

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