Azure AI Architect: GenAI & LLM Orchestration Lead

EDUCARE HUMAN CAPITAL PRIVATE LIMITED; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

EDUCARE HUMAN CAPITAL PRIVATE LIMITED is seeking a senior AI architect to design and deliver Azure-native GenAI solutions for large enterprises. You will lead architecture decisions, champion best practices for LLM orchestration, and guide multi-year transformation programs with senior stakeholders.

You will build intelligent agents using Azure Semantic Kernel, vector memory, and scalable pipelines, while mentoring delivery teams and driving hands-on work to achieve measurable business outcomes.

Qualifications

• 10+ years IT experience with 5+ years on Azure.
• Strong Python engineering for LLM workflows.
• Hands-on with Azure AI Services, Azure OpenAI, Cognitive Search.
• Experience with MLOps/LLMOps, CI/CD, and governance.
• Proven ability to work in distributed, containerized environments (Kubernetes, Git).

Responsibilities

• Architect and deliver 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 activities.

Skills

Azure OpenAI

Python engineering

LLM orchestration

GenAI / agentic AI

Azure AI Services

Semantic Kernel

Vector databases

MLOps/LLMOps

CI/CD

Kubernetes

Git

Databricks

PySpark

Tools

Kubernetes

Git

Databricks

PySpark

Job description

EDUCARE HUMAN CAPITAL PRIVATE LIMITED is seeking a senior AI architect to design and deliver Azure-native GenAI solutions for large enterprises. You will lead architecture decisions, champion best practices for LLM orchestration, and guide multi-year transformation programs with senior stakeholders.

You will build intelligent agents using Azure Semantic Kernel, vector memory, and scalable pipelines, while mentoring delivery teams and driving hands-on work to achieve measurable business outcomes.