Lead AI Engineer

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

• Work with one of the large financial services firms - be a part of global projects
• 12 Months contract with a potential to extend on a long-term basis

Role Overview

The AI Engineer will be responsible for designing, building, and deploying enterprise-grade AI and Generative AI solutions, including LLM-powered applications, Retrieval-Augmented Generation (RAG) systems, and AI workflows.

The role will work closely with product, data, technology, and platform teams to take AI solutions from solution design through development, testing, governance, and production deployment.

Scope & Key Responsibilities

• Complete and refine the existing solution design.
• Participate in and present solution designs during reviews and governance forums, including GSRC, LSRC, etc.
• Support key decisions on where AI solutions would be cost-effective and appropriate versus existing Straight-Through Processing (STP) solutions.
• Design, build, and deploy enterprise-grade AI and Generative AI solutions.
• Develop LLM-powered applications, RAG solutions, and AI workflows, including agentic AI applications.
• Integrate AI solutions with enterprise systems and APIs.
• Support data and solution assessments to ensure the required data is available and suitable for the AI solution.
• Support System Integration Testing (SIT) and User Acceptance Testing (UAT).
• Support the CAB / release process and production deployment.
• Support production monitoring, optimisation, and troubleshooting.
• Collaborate with product, data, platform, and technology teams throughout the delivery lifecycle.

Requirements

• Experience in AI, Machine Learning, Data Engineering, or Software Engineering.
• Hands-on experience with Generative AI, LLMs, prompt engineering, and/or RAG solutions.
• Experience developing and deploying AI solutions.
• Understanding of LLM-powered applications, RAG, and AI workflows.
• Familiarity with cloud platforms such as Azure, AWS, or GCP.
• Understanding of software engineering best practices and APIs.
• Ability to work independently, take ownership, and drive delivery with minimal supervision.
• Strong problem-solving skills and a proactive, hands-on approach.
• Experience working in enterprise or regulated environments.
• Exposure to technology governance, solution reviews, or production release processes