Senior AI Systems Architect & Engineering Lead

Dyson; Johor Bahru; On-site; MYR 180,000 - 300,000; Full time

Job summary

Dyson is seeking a highly experienced AI engineer to lead the design and delivery of enterprise-grade AI systems. You will guide cross-functional teams, create scalable architectures, and ensure responsible, governed AI deployment across squads.

You will mentor engineers, establish standards for context engineering, and collaborate with Data Science, AI/ML Ops, Platform, and Product teams to deliver robust AI solutions at scale.

Qualifications

• Hands-on AI engineer capable of solving complex problems with scalable solutions.
• Strong ownership and technical leadership to raise engineering bar.

Responsibilities

• Lead the design and delivery of robust, scalable AI systems and agentic workflows across squads
• Define architecture patterns for orchestration, multi-step reasoning, tool use, and agent coordination
• Set and enforce standards for context engineering, including prompt design, retrieval augmentation, grounding, and memory systems
• Oversee modular APIs, services, and integration layers for enterprise AI delivery
• Establish evaluation frameworks, quality gates, and continuous improvement loops for reliability and performance
• Own production monitoring and observability, tracing, debugging, and incident response patterns
• Lead decomposition of complex business problems into AI engineering workstreams
• Mentor engineers through design reviews, code reviews, planning and best practices
• Collaborate with Data Science, AI/ML Ops, Platform and Product teams for scalable, secure delivery
• Define reusable components, frameworks, and standards to accelerate delivery across teams
• Translate business needs into scalable AI architectures and solutions
• Share learnings and educate the wider business on responsible AI use

Job description

Dyson is seeking a highly experienced AI engineer to lead the design and delivery of enterprise-grade AI systems. You will guide cross-functional teams, create scalable architectures, and ensure responsible, governed AI deployment across squads.

You will mentor engineers, establish standards for context engineering, and collaborate with Data Science, AI/ML Ops, Platform, and Product teams to deliver robust AI solutions at scale.