AI Solution Architect

Nexus Global Pty Limited; Hong Kong; On-site; HKD 900,000 - 1,500,000; Full time

Job summary

Nexus Global Pty Limited is seeking an AI Solution Architect to lead the design and implementation of enterprise AI platforms. You will translate business requirements into scalable architectures, define data models, security layers, and governance frameworks, and guide cross-functional teams from concept to production.

The role demands hands-on expertise in Generative AI, ML, and cloud ecosystems (Azure/AWS/GCP) with a focus on delivering secure, scalable, and production-ready solutions for

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, IT or related field.
• 7 years of solution architecture experience with AI or data-driven solutions.
• Strong understanding of ML, Generative AI and LLM-based architectures.
• Experience designing enterprise-scale solutions on Azure, AWS or GCP.
• Knowledge of API integration, microservices, data platforms and distributed systems.
• Experience with AI governance, security and responsible AI principles.
• Strong stakeholder management and communication skills.
• Ability to translate business requirements into scalable technical architectures.

Responsibilities

• Lead solution architecture design for AI Generative AI and ML initiatives.
• Engage with business stakeholders to understand requirements and define technology roadmaps.
• Design end-to-end AI platforms including data model, application integration and security layers.
• Define architecture standards, best practices and governance frameworks.
• Evaluate and recommend AI technologies, tools and cloud services.
• Provide technical leadership throughout the solution delivery lifecycle.
• Ensure compliance with security, risk and regulatory requirements.
• Collaborate with engineering teams to guide implementation and resolve technical challenges.
• Present solution designs and recommendations to senior stakeholders.

Skills

Solution architecture

Gen AI / LLM architectures

Cloud platforms

Stakeholder management

Communication skills

Enterprise-scale design

Security governance

Education

Bachelor's or Master's degree in Computer Science/Engineering/IT

Tools

Azure

AWS

GCP

TOGAF

Job description

We are looking for an AI Solution Architect to lead the design and implementation of enterprise AI solutions. The role focuses on defining architecture, aligning business requirements with technology capabilities and ensuring scalable secure and production ready AI platforms and applications.

Responsibilities

• Lead solution architecture design for AI Generative AI and machine learning initiatives
• Engage with business stakeholders to understand requirements and define technology roadmaps
• Design end-to-end AI platforms including data model application integration and security layers
• Define architecture standards best practices and governance frameworks
• Evaluate and recommend AI technologies tools and cloud services
• Provide technical leadership throughout the solution delivery lifecycle
• Ensure compliance with security risk and regulatory requirements
• Collaborate with engineering teams to guide implementation and resolve technical challenges
• Present solution designs and recommendations to senior stakeholders

Requirements

What we are looking for:

• Bachelors or Masters degree in Computer Science Engineering Information Technology or a related discipline
• 7 years of experience in solution architecture with experience delivering AI or data-driven solutions
• Strong understanding of machine learning Generative AI and LLMbased architectures
• Experience designing enterprise-scale solutions on Azure AWS or GCP
• Knowledge of API integration microservices data platforms and distributed systems
• Experience with AI governance security and responsible AI principles
• Strong stakeholder management and communication skills
• Ability to translate business requirements into scalable technical architectures

Preferred Skills:

• Experience with Azure OpenAI Anthropic or similar AI platforms
• Experience with RetrievalAugmented Generation RAG vector databases and AI agent architectures
• Relevant cloud or architecture certifications Azure Solutions Architect AWS Solutions Architect TOGAF etc
• Experience in banking, insurance or other highly regulated industries
• Experience leading architecture review boards and technical governance discussions