Senior AI Engineer

Our Client is a fast moving International Technology Group embarking on the next phase of its AI transformation. The Group is redefining how enterprise users interact with business software by embedding intelligent capabilities that can interpret intent, coordinate tasks, and automate increasingly sophisticated workflows. To support this, they are seeking to build a Singapore onshore team of AI engineers who can bridge product vision with technical execution. This team will play a pivotal role in shaping the architecture of next-generation AI capabilities while driving delivery of production-ready solutions that will serve a global enterprise customer base.

Reporting into the Enterprise Efficiency leadership team, this team shall provide technical expertise across the design and implementation of AI-powered features that leverage modern LLMs and agent-based architectures.

• Collaborate with Product Management to evaluate new concepts, determine technical viability, and translate business objectives into scalable engineering solutions.
• Beyond solution delivery, establish architectural standards and help build a robust AI platform that can accelerate future product development.
• Define architecture and engineering standards for intelligent application capabilities across a major enterprise product.
• Develop modular AI services capable of complex planning, contextual understanding, memory management, external system integration, and orchestration across multiple AI models.
• Lead technical decisions throughout the software lifecycle, from solution design and experimentation through deployment, optimisation, operational monitoring, and continuous enhancement.
• Drive improvements in model quality, responsiveness, operational cost, scalability, and production reliability.
• Build reusable AI components, frameworks, and internal tooling that improve engineering productivity across multiple teams.
• Provide technical mentorship to engineers while promoting best practices in areas including prompt design, retrieval strategies, model evaluation, testing, and AI governance.
• Work collaboratively with software engineering, infrastructure, product, UX, and security teams to deliver enterprise-grade AI capabilities that meet performance, compliance, and data protection standards.
• Continuously evaluate developments across the AI landscape and identifying technologies that can strengthen the company's long-term product strategy.

Requirements:

• A strong blend of software engineering expertise, AI domain knowledge, and technical leadership with a degree in Computer Science, Artificial Intelligence, Software Engineering, or a comparable technical discipline. Advanced academic qualifications would be beneficial.
• 3 or more years of software engineering experience, delivering AI or machine learning solutions into production environments.
• Practical expertise developing applications powered by modern LLMs including retrieval-based architectures, prompt optimisation, AI agents, tool integration, and orchestration technologies.
• Experience selecting, evaluating, adapting, and optimising AI models with consideration for accuracy, latency, scalability, and commercial cost.
• Demonstrated success delivering enterprise software from concept through production release, ideally within cloud-based or SaaS environments.
• Strong architectural thinking and an ability to design secure, extensible, and highly scalable distributed systems.
• Solution-oriented approach, with the confidence to make technical decisions in rapidly evolving environments and the ability to influence stakeholders across both technical and non-technical functions.
• Previous exposure to enterprise productivity software, AI assistants, workflow automation, or intelligent business applications required.