Artificial Intelligence Architect

Confidential; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Confidential in Singapore seeks an experienced AI Architect to own the LLM Intelligence Engine architecture, ensuring scalable, secure, and cost-efficient foundations. This strategic, hands-on leader will govern vendor deliverables and drive multi-cloud integrations with legacy Java systems.

You will shape engineering standards, MLOps governance, and an AI roadmap while mentoring staff and guiding phased migration to AI-native components.

Qualifications

• 10+ years in enterprise solution or technical architecture.
• 3+ years designing and deploying production LLM/AI systems at enterprise scale.
• Deep expertise in LLM architecture patterns: RAG, fine-tuning, prompt engineering, and agentic frameworks.
• Hands-on experience with at least two of: Azure OpenAI, Google Vertex AI, AWS Bedrock.
• Strong enterprise integration background - API design, event-driven architecture, and data pipelines.
• Experience governing multi-vendor technology delivery programmes.
• Security-first mindset with working knowledge of AI risk frameworks (NIST AI RMF, MAS AI governance).
• Good command of written and spoken English.
• Logistics, supply chain, or manufacturing domain experience.
• Experience with Java system integration and legacy modernisation.

Responsibilities

• Design and own the end-to-end architecture of our LLM Intelligence Engine, including model selection, RAG pipeline design, agent frameworks, and integration with legacy Java systems.
• Review and approve all architectural deliverables from external AI vendors and technology partners.
• Lead hyperscaler engagement (Microsoft Azure, Google Cloud, AWS) and coordinate with solution architects to ensure best-practice, cost-optimised implementation.
• Define and enforce AI engineering standards: API design, model evaluation frameworks, security and privacy controls, and MLOps governance.
• Provide architectural guidance on phased migration from legacy Java estate to AI-native components.
• Evaluate and select AI technologies including LLM frameworks, vector databases, embedding models, and orchestration platforms.
• Lead technology risk assessment and mitigation, including model bias evaluation, data security architecture, and vendor lock-in risk management.
• Mentor and develop internal technical staff as part of the organisation's reskilling programme.
• Contribute to long-term AI product roadmap and emerging technology assessment.

Skills

Enterprise architecture

LLM architecture

RAG pipelines

Vendor governance

Security & privacy

English communication

Industry knowledge: logistics/supply

Tools

Azure OpenAI

Google Vertex AI

AWS Bedrock

Job description

We are a leading logistics and supply chain group undergoing a major AI transformation programme. We are seeking an experienced AI Architect to serve as the technical conscience of our AI initiative - owning architectural integrity, governing vendor deliverables, and ensuring our LLM Intelligence Engine is built on sound, scalable, and cost-efficient foundations.

This is a strategic, hands-on leadership role that sits at the intersection of vision and execution.

Primary Responsibilities

• Design and own the end-to-end architecture of our LLM Intelligence Engine, including model selection, RAG pipeline design, agent frameworks, and integration with legacy Java systems
• Review and approve all architectural deliverables from external AI vendors and technology partners
• Lead hyperscaler engagement (Microsoft Azure, Google Cloud, AWS) and coordinate with solution architects to ensure best-practice, cost-optimised implementation
• Define and enforce AI engineering standards: API design, model evaluation frameworks, security and privacy controls, and MLOps governance
• Provide architectural guidance on phased migration from legacy Java estate to AI-native components
• Evaluate and select AI technologies including LLM frameworks, vector databases, embedding models, and orchestration platforms
• Lead technology risk assessment and mitigation, including model bias evaluation, data security architecture, and vendor lock-in risk management
• Mentor and develop internal technical staff as part of the organisation's reskilling programme
• Contribute to long-term AI product roadmap and emerging technology assessment

Required Skills & Abilities

• 10+ years in enterprise solution or technical architecture
• 3+ years designing and deploying production LLM/AI systems at enterprise scale
• Deep expertise in LLM architecture patterns: RAG, fine-tuning, prompt engineering, and agentic frameworks
• Hands-on experience with at least two of: Azure OpenAI, Google Vertex AI, AWS Bedrock
• Strong enterprise integration background - API design, event-driven architecture, and data pipelines
• Experience governing multi-vendor technology delivery programmes
• Security-first mindset with working knowledge of AI risk frameworks (NIST AI RMF, MAS AI governance)
• Good command of written and spoken English
• Logistics, supply chain, or manufacturing domain experience
• Experience with Java system integration and legacy modernisation
• Published architectural decision records or open-source AI contributions
• Familiarity with Singapore's IMDA AI governance guidelines