Principal AI Architect - Product and Framework, Singapore

We are looking for a Principal AI Architect for Enterprise AI Framework and AI Business Applications, who combines deep hands‑on AI engineering expertise with strong business process understanding to design, build, and scale AI products across Mobility Aftermarket.

This is not a research role and not a pure product management role.

You will:

• Architect and build AI applications from scratch
• Define the AI framework and development standards for MA
• Ensure AI solutions are scalable, secure, and production-ready
• Mentor AI engineers across the team
• Translate business logic into robust AI systems

This role will shape how AI applications are developed, implemented and industrialized in MA.

• Define and evolve the AI application architecture for MA.
• Design reusable AI components and frameworks.
• Establish standards for model integration, deployment, monitoring, and scaling.
• Ensure AI systems are production-grade and enterprise-ready.

• Design and build AI-driven applications end-to-end.
• Implement: ML models, LLM-based workflows, APIs and microservices, Orchestration layers.
• Design AI Framework, train models, establish RAG and MCP.
• Develop self‑service and reusable AI agents.

This is a hands-on AI Architect role with business background.

• Translate MA business processes into AI logic.
• Embed AI into real operational workflows.
• Ensure solutions align with Order-to-Cash, customer interaction flows, trade operations, business insight.
• Balance AI innovation with business feasibility.

• Evaluate AI use cases for feasibility and scalability.
• Define technical roadmap for AI framework evolution.
• Guide build‑vs‑buy decisions.
• Ensure AI initiatives deliver measurable business value.

• Mentor AI engineers and developers.
• Establish best practices in MLOps, AI UI, AI work, model lifecycle management.
• Provide architectural guidance across AI initiatives.

This is a senior individual contributor role with technical leadership with business influence.

• 8–12+ years in AI/ML engineering or applied AI.
• Strong hands‑on coding experience (Python mandatory).
• Experience building AI applications from scratch.
• Experience deploying AI solutions into production environments.
• Solid understanding of ML model lifecycle, LLM integration, API architecture, microservices, cloud‑native systems.

• Experience embedding AI into enterprise workflows.
• Understanding of ERP‑driven business processes.
• Ability to translate business requirements into AI system design.
• Experience in automotive, mobility, trade environment preferred.
• This is not optional.

• Experience building reusable AI components.
• Knowledge of MLOps and AI monitoring.
• Experience designing scalable AI architectures.
• Familiarity with responsible AI and governance.

• Deep technical curiosity.
• Strong system thinking.
• Able to challenge both business and technical teams.
• Mentorship mindset without formal people management.