AI Solutions Engineer

Passionate about making a real impact Be at the forefront of the data centre (DC) industry with a unique focus on sustainability connectivity and AI which sets us apart as the next generation DC operator. You will also get to gain invaluable experience in a fast-growing industry that is powering the digitalisation wave. Be empowered to co-create the future with our dynamic teams!

We are seeking an AI Solutions Engineer (Agentic AI) to design build and deploy enterprise AI solutions using Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) and AI Agents. You will develop production-ready AI applications that automate knowledge-intensive workflows integrate with enterprise systems and deliver secure scalable and trustworthy AI experiences.

How You will Make An Impact:

AI Solution Development

• Design develop and deploy AI agents using LLMs RAG and prompt engineering.
• Build scalable AI workflows that automate enterprise business processes.
• Translate business requirements into practical AI solutions.
• Develop reusable prompt workflows tool-calling capabilities and structured outputs.

Knowledge & RAG Engineering

• Build and optimise RAG pipelines connected to approved enterprise knowledge sources.
• Improve retrieval quality through chunking embeddings indexing and metadata strategies.
• Maintain trusted knowledge bases and ensure source-grounded AI responses.

AI Platform & Integration

• Integrate AI applications with enterprise systems APIs databases and internal platforms.
• Develop secure tool-calling capabilities and support deployment into production.
• Monitor and optimise AI application performance.

Model Quality & Governance

• Design evaluation frameworks to measure response quality retrieval accuracy and hallucination risks.
• Optimise prompts guardrails and model performance.
• Support governance version control and human-in-the-loop review processes.

Stakeholder Collaboration

• Partner with product engineering and business teams to deliver AI solutions.
• Support demonstrations UAT production rollout and technical documentation.
• Communicate technical concepts clearly to technical and non-technical stakeholders.

Skills for Success:

• Bachelors Degree in Computer Science Artificial Intelligence Data Science or related discipline.
• 35 years of software engineering experience with Python.
• Hands-on experience building LLM applications AI Agents or RAG solutions.
• Experience with LangChain LangGraph LlamaIndex or similar AI frameworks.
• Experience integrating APIs databases and enterprise systems.
• Knowledge of vector databases semantic search and prompt engineering.
• Experience with Git CI/CD and container technologies.

Preferred Skills:

• Experience with Azure OpenAI AWS Bedrock or Google Vertex AI.
• Knowledge of MCP (Model Context Protocol) or AI agent orchestration.
• Experience deploying open-source LLMs (e.g. vLLM Ollama).
• Exposure to MLOps model fine-tuning or domain adaptation.

Hiring Manager: Sivasankar Subbiah

Talent Acquisition Manager: Kong Chiew Yen