Architecture Delivery: Translate customer business objectives into clear cloud architectures and technical roadmaps.
Trusted Advisor: Act as a technical consultant to deeply understand customers' business requirements in overseas markets and provide constructive strategic recommendations.
Synergy: Collaborate with internal product and R&D teams, as well as external ecosystem partners, to continuously refine and optimize solutions for the automotive industry.
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Supervise junior staff, manage vendor activities, and perform quality assurance on contractor deliverables. Provide proactive updates to management, ensuring architectural roadmaps align with business objectives.
Degree in Computer Science or related discipline, with at least 6 years of post-qualification IT experience, including 2+ years in an Architect, supervisory, or senior technical support role.
Technical Expertise: Hands-on experience in VMware enterprise technologies OR enterprise AI/LLM deployments and containerisation (e.g., Red Hat OpenShift, Kubernetes/K3s). Dual-domain expertise is a distinct advantage. Relevant certifications (VMware Certified Advanced Professional, containerisation, AI, IT security) are highly preferred.
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Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership.
Ability to work with a cross functional sales team to formulate and execute an end to end deal cycle.
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Define and maintain infrastructure standards, architecture principles, design patterns, service catalogues, and non-functional requirements
Collaborate with Enterprise Architecture, testing, security, procurement, solution delivery teams, and business units to ensure solutions are compliant, supportable, and aligned with company standards
Design infrastructure solutions using standard building blocks and simplified architecture approaches to improve delivery speed and consistency
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Define and maintain infrastructure standards, architecture principles, design patterns, service catalogues, and non-functional requirements
Collaborate with Enterprise Architecture, testing, security, procurement, solution delivery teams, and business units to ensure solutions are compliant, supportable, and aligned with company standards
Design infrastructure solutions using standard building blocks and simplified architecture approaches to improve delivery speed and consistency
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Item 4 of 10, Define and maintain infrastructure standards, architecture principles, design patterns, service catalogues, and non-functional requirementsDefine and maintain infrastructure standards, architecture principles, design patterns, service catalogues, and non-functional requirements
Item 5 of 10, Collaborate with Enterprise Architecture, testing, security, procurement, solution delivery teams, and business units to ensure solutions are compliant, supportable, and aligned with company standardsCollaborate with Enterprise Architecture, testing, security, procurement, solution delivery teams, and business units to ensure solutions are compliant, supportable, and aligned with company standards
Item 6 of 10, Design infrastructure solutions using standard building blocks and simplified architecture approaches to improve delivery speed and consistencyDesign infrastructure solutions using standard building blocks and simplified architecture approaches to improve delivery speed and consistency
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Conduct one-to-few and one-to-many training sessions to transfer knowledge to customers considering or already using AWS (i.e Dev Days or Immersion Days)
Capture and share best-practice knowledge amongst the AWS Solutions Architect community
Contribute to AWS customer-facing publications such as white papers
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Hands-on Prototyping & Tech Selection: Lead proof-of-concept (PoC) builds, test new open-source models, and evaluate third-party tech vendors to see what actually works in a production environment.
Governance & Regulatory Alignment: Ensure all AI models meet strict banking data security, privacy, and regulatory standards (like HKMA guidelines) without slowing down innovation.
Delivery Oversight: Work closely with data scientists, software engineers, and product managers to guide projects from initial concept through to live deployment.
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