Forward Deployed ML Engineer - AIOps

Responsibilities

• Work with business stakeholders to define problems, priorities and success measures for AI and systems initiatives.

• Translate requirements into a solution design covering options, architecture, build-versus-buy, risks and a practical delivery path.

• Develop, integrate and test solutions in the operating environment, from prototype through pilot and handover to production support.

• Implement AI-enabled workflows (including agents, retrieval and automation) where they are justified by the use case.

• Apply AI-assisted development tools to accelerate delivery while maintaining review, security and operational standards.

• Present designs and trade-offs to non-technical stakeholders and coordinate with IT and vendors on access, constraints and handover.

• Document reusable patterns and feed implementation lessons into subsequent engagements.

Qualifications/Requirements

• Degree in computer science, engineering, information systems, or a related discipline.

• 5+ year of experience working in solution delivery role

• Hands-on software or AI engineering experience, mainly backend but font-end experience are appreciated

• Ability to communicate with business stakeholders and to develop working solution. Python is expected; TypeScript or a similar language is useful.

• Ability to design solutions under constraints of systems, data, security and time, and to adjust the design based on implementation findings.

• Familiar with AI framework such as LangChain and protocols such as MCP, A2A

• Working knowledge of APIs, data stores and at least one cloud platform. Experience with large language models, retrieval-augmented generation or agent patterns is useful. Production implementation experience is an advantage.

• Experience with AI-assisted development or rapid prototyping is an advantage.

• Fluent Cantonese and English are an advantage.