Lead AI Engineer — Generative AI & LLM Solutions

Argyll Scott; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Argyll Scott is seeking an AI Engineer in Singapore for a 12-month contract to design, build, and deploy enterprise-grade AI and Generative AI solutions. You will work with product, data, technology, and platform teams to move AI solutions from design through governance, testing, and production deployment.

The role requires hands-on experience with Generative AI, LLMs, prompt engineering, and RAG, plus familiarity with Azure/AWS/GCP.

Qualifications

• Experience in AI, ML, data engineering, or software engineering.
• Hands-on Generative AI, LLMs, prompt engineering, and/or RAG.
• Experience developing and deploying AI solutions.
• Familiar with cloud platforms (Azure, AWS, or GCP).
• Ability to work independently with ownership and delivery focus.
• Experience in enterprise or regulated environments.

Responsibilities

• Complete and refine the existing solution design.
• Present solution designs during reviews and governance forums.
• Support decisions on AI vs STP cost-effectiveness.
• Design, build, and deploy enterprise AI solutions.
• Develop LLM-powered apps, RAG solutions, and AI workflows.
• Integrate AI with enterprise systems and APIs.
• Assist data and solution readiness assessments.
• Support SIT and UAT testing processes.
• Support CAB/release and production deployment.
• Assist production monitoring and troubleshooting.
• Collaborate across product, data, platform, and tech teams.

Skills

AI/ML/Data Eng

Generative AI & LLMs

RAG solutions

Cloud platforms

Independent delivery

Problem solving

Job description

Argyll Scott is seeking an AI Engineer in Singapore for a 12-month contract to design, build, and deploy enterprise-grade AI and Generative AI solutions. You will work with product, data, technology, and platform teams to move AI solutions from design through governance, testing, and production deployment.

The role requires hands-on experience with Generative AI, LLMs, prompt engineering, and RAG, plus familiarity with Azure/AWS/GCP.