Lead AI Engineer

Dyson
Johor Bahru
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: ["Ownership","Technical leadership","Cross-team collaboration","Mentorship","Continuous learning"]

Design, build, and scale enterprise AI systems as part of Dyson’s global IT data community. You’ll lead technical delivery across squads, define architectures for agentic workflows and orchestration, and set standards for prompt, retrieval augmentation, grounding, and memory. Own evaluation and quality gates, production monitoring, observability, and incident response patterns, while mentoring engineers and partnering with Data Science, AI/ML Ops, Platform, and Product teams to deliver governed, measurable outcomes.

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FursaFursa
Dyson
Dyson
1 month ago

Lead AI Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 20 days agoStatus: Live

Job Summary

Design, build, and scale enterprise AI systems as part of Dyson’s global IT data community. You’ll lead technical delivery across squads, define architectures for agentic workflows and orchestration, and set standards for prompt, retrieval augmentation, grounding, and memory. Own evaluation and quality gates, production monitoring, observability, and incident response patterns, while mentoring engineers and partnering with Data Science, AI/ML Ops, Platform, and Product teams to deliver governed, measurable outcomes.
Location: Johor Bahru
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key 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, reusable APIs, services, and integration layers for enterprise AI delivery.
  • •Own evaluation frameworks, production monitoring, observability, debugging, and incident response patterns; mentor engineers through reviews and planning.

Key Requirements

  • •Highly experienced, hands-on AI engineer who solves complex problems with scalable, production-grade solutions.
  • •Passion for moving AI systems beyond prototypes into observable, governed platforms that deliver measurable business value.
  • •Ownership and technical leadership to set engineering direction while staying deeply involved in implementation.
  • •Comfort leading cross-team initiatives and guiding architectural decisions to raise engineering standards.
  • •Continuous learning mindset, exploring new frameworks and novel architectures while driving adoption of best practices.
Experience:Enterprise AIAI infrastructure
Skills:OwnershipTechnical leadershipCross-team collaborationMentorshipContinuous learning

Company Brief

Dyson
Designs and manufactures innovative home appliances including vacuum cleaners, air purifiers, hand dryers, hair care products, and heaters using advanced engineering and proprietary technologies focused on performance and design.
Industry: Home Appliances
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Funding: Bootstrapped
Headquarters: Malmesbury, United Kingdom
Founded: 1991
WebsiteLinkedIn