Senior AI Engineer — LLM & Agentic AI Solutions Architect

Ernst & Young Advisory Services Sdn Bhd; Jakarta Pusat; On-site; IDR 334,800,000 - 613,800,000; Full time

Job summary

Ernst & Young Advisory Services Sdn Bhd is seeking an AI Engineer (Consultant) to collaborate with cross-industry clients to design and deliver end-to-end AI solutions, including LLM-based applications, from solution design through cloud deployment and client adoption.

The role requires hands-on experience with LLMs, SQL proficiency, and front-end/API integration, with opportunities to influence cross-functional digital transformation initiatives.

Qualifications

• Have at least 3 (three) years of working experience.
• Hands-on experience with Large Language Models (LLM) (Azure OpenAI, OpenAI, or open-source models).
• Solid understanding of SQL and enterprise data model.
• Proven experience with: Prompt engineering, Retrieval-Augmented Generation (RAG), Embeddings, and agent-based AI solutions.

Responsibilities

• Design and implement LLM-powered solutions for analytics, decision support, and automation.
• Develop Natural Language Query (NLQ) agents enabling users to query enterprise data using natural language.
• Build agentic AI workflows (multi-step reasoning, tool-using agents).
• Develop user-facing AI applications (chat interfaces, NLQ dashboards, AI assistants).
• Integrate AI solutions with client data platforms, APIs, and enterprise systems.
• Deploy AI solutions to cloud environments following security, scalability, and reliability best practices.
• Support end-to-end delivery: use case discovery, design, development, deployment, and client enablement.
• Communicate technical solutions clearly to business and executive stakeholders.

Skills

LLM experience

SQL proficiency

Prompt engineering

Embeddings

Agent-based AI

React/Angular/Vue

Tools

Docker

FastAPI/Flask

Azure OpenAI

Kubernetes

REST APIs

Job description

Ernst & Young Advisory Services Sdn Bhd is seeking an AI Engineer (Consultant) to collaborate with cross-industry clients to design and deliver end-to-end AI solutions, including LLM-based applications, from solution design through cloud deployment and client adoption.

The role requires hands-on experience with LLMs, SQL proficiency, and front-end/API integration, with opportunities to influence cross-functional digital transformation initiatives.