Solutions Architect – AI & Banking
Company: Xionex
Employment Type: Full-time
Location: Malaysia
Eligibility: Malaysian citizens or candidates holding a valid RPT Pass
Job Description
About Xionex
Xionex builds AI-native technology for banking and insurance, helping financial institutions modernise complex operations through intelligent automation and next-generation software architecture.
We are looking for an experienced Solutions Architect to design scalable, secure, and resilient technology solutions for our AI-native banking platform.
Key Responsibilities
- Design end-to-end technology solutions for banking and financial services applications.
- Translate business requirements into scalable, secure, and maintainable technical architectures.
- Develop solution blueprints covering application architecture, APIs, integrations, databases, and cloud infrastructure.
- Design solutions that support AI-native applications, agentic workflows, and intelligent process automation.
- Evaluate technologies, frameworks, and architectural approaches to meet business and technical objectives.
- Collaborate with engineering, AI, cloud, product, and business teams to deliver production-ready solutions.
- Ensure solutions meet requirements for security, performance, scalability, availability, and regulatory compliance.
- Lead technical discussions, architecture reviews, and technology selection decisions.
- Identify technical risks, assess trade-offs, and recommend appropriate solutions.
- Support development teams throughout implementation, testing, deployment, and optimisation.
Requirements
- Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related discipline.
- At least 7 years of experience in software engineering, solution architecture, or system design.
- Proven experience designing and delivering complex enterprise technology solutions.
- Strong knowledge of software architecture, distributed systems, microservices, APIs, and system integration.
- Experience with cloud platforms, databases, modern programming languages, and DevOps practices.
- Understanding of application security, performance optimisation, scalability, and system reliability.
- Ability to translate complex business requirements into practical technical designs.
- Strong analytical, problem-solving, stakeholder management, and communication skills.
- Experience in banking, financial services, insurance, or other regulated industries is an advantage.
- Familiarity with AI/ML integration, large language models (LLMs), or agentic AI systems is an advantage.
What We Offer
- The opportunity to shape an AI-native platform for banking and insurance.
- Exposure to enterprise-scale financial technology and intelligent automation.
- A collaborative environment focused on innovation and modern software engineering.
- Opportunities to influence solution design, technology choices, and platform evolution.