Lead AI Engineer

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

Design, build, and scale enterprise-grade AI systems, moving prototypes into robust, observable, and governed platforms. Lead technical delivery across squads by defining AI architecture patterns for agentic workflows, orchestration, and context engineering. Establish evaluation and quality gates, own production monitoring and incident-response patterns, and decompose complex business problems into solvable AI workstreams while mentoring engineers and partnering with Data Science, AI/ML Ops, Platform, and Product teams.

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FursaFursa
Dyson
Dyson
2 months ago

Lead AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 38 days agoStatus: Live

Job Summary

Design, build, and scale enterprise-grade AI systems, moving prototypes into robust, observable, and governed platforms. Lead technical delivery across squads by defining AI architecture patterns for agentic workflows, orchestration, and context engineering. Establish evaluation and quality gates, own production monitoring and incident-response patterns, and decompose complex business problems into solvable AI workstreams while mentoring engineers and partnering with Data Science, AI/ML Ops, Platform, and Product teams.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Lead 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 standards for context engineering, including prompt design, retrieval augmentation, grounding, and memory systems.
  • •Oversee modular, reusable APIs/services/integration layers that enable enterprise AI delivery.
  • •Own production monitoring, observability, debugging, and incident-response patterns for AI systems.

Key Requirements

  • •Highly experienced, hands-on AI engineer focused on scalable, production-grade solutions.
  • •Ability to lead technical delivery while defining direction for engineering practices and staying involved in implementation.
  • •Comfort guiding architectural decisions and leading cross-team initiatives.
  • •Ownership of continuous improvement through learning new frameworks, experimenting with novel architectures, and adopting best practices.
  • •Experience mentoring engineers through design reviews, code reviews, technical planning, and best-practice adoption.
Experience:Enterprise AI
Skills:OwnershipTechnical leadershipCross-team collaborationContinuous learningMentorshipProblem-solving

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