Lead AI Engineer

Summary

Salary:

Competitive

Job Family:

Data Science

Location:

Singapore - Technology Centre

Join Dyson’s global IT data community and play a key role in designing, building, and scaling enterprise-grade AI systems. You’ll lead technical delivery across squads, working closely with data analysts, product managers, data scientists, and AI/ML Ops engineers to deliver robust AI solutions that drive business impact at scale.

WHO YOU ARE

You are a highly experienced, hands-on AI engineer who thrives on solving complex problems with scalable, production-grade solutions. You are passionate about building AI systems that move beyond prototypes into robust, observable, and governed platforms that deliver measurable business value.

You demonstrate strong ownership and technical leadership, setting direction for engineering practices while remaining deeply involved in implementation. You are comfortable leading cross-team initiatives, guiding architectural decisions, and raising the overall engineering bar.

You prioritize continuous learning, whether it is exploring new frameworks, experimenting with novel architectures, or deepening your understanding of AI infrastructure. You actively drive adoption of best practices across teams while helping others grow their technical capability.

WHAT YOU'LL DO

As a Lead AI Engineer you will:

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 the development of modular, reusable APIs, services, and integration layers that enable enterprise AI delivery

Establish evaluation frameworks, quality gates, and continuous improvement loops to ensure system reliability and performance

Own production monitoring and operational excellence for AI systems, including tracing, observability, debugging, and incident response patterns

Lead technical decomposition of complex and ambiguous business problems into well-scoped, solvable AI engineering workstreams

Mentor and guide engineers through design reviews, code reviews, technical planning, and best practice adoption

Collaborate closely with Data Science, AI/ML Ops, Platform, and Product teams to ensure scalable, secure, and governed delivery

Define reusable components, frameworks, and engineering standards that accelerate AI solution delivery across teams

Partner with stakeholders to translate business needs into scalable AI architectures and solutions

Share learnings, develop standards, and educate the wider business on responsible and effective use of AI

Our global reputation is priceless, and it always hangs on what we do next. Dyson is a unique technology enterprise. We are authentic, different and pioneering. Our biggest category today didn’t even exist a few years ago. Our next biggest category? That could be where you come in.