Solutions Architect

R Systems; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

R Systems in Singapore is seeking an experienced Solution Architect to lead design of cloud-first, enterprise-scale solutions that deliver real business value and digital transformation. This role requires hands-on leadership across the delivery lifecycle and the ability to translate business needs into robust technical strategies.

You will drive AI and ML adoption, architect secure, scalable microservices using Spring Boot and Docker on AWS, and partner with stakeholders across business and

Qualifications

• Proven experience in delivering enterprise-scale solutions.
• Expertise in Digital Transformation and enterprise architecture.
• Hands-on knowledge of Generative AI and Machine Learning.
• Experience with Cloud-Native Microservices Architecture using Spring Boot, Docker, AWS.
• Strong security, DevOps and CI/CD understanding.
• Excellent stakeholder management and communication skills.
• Ability to manage multiple priorities in a fast-paced environment.
• Insurance or Financial Services domain experience is advantageous.

Responsibilities

• Lead solution architecture initiatives that support enterprise digital transformation.
• Design scalable, secure, and resilient cloud-native microservices architectures.
• Drive AI and Generative AI adoption to improve automation and business capabilities.
• Conduct POCs, technical evaluations, and feasibility assessments for emerging technologies.
• Partner with business stakeholders, product owners, and engineering teams to deliver innovative technology solutions.
• Develop AI-driven solutions that enhance customer, distributor, and partner experiences.
• Produce architecture blueprints and present solutions at architecture governance forums.
• Ensure compliance with enterprise architecture, security, data governance, and regulatory standards.
• Evaluate vendor technologies for scalability, resiliency, security, and business fit.
• Provide technical leadership throughout the solution delivery lifecycle.

Skills

Stakeholder management

Communication

Analytical skills

Problem solving

Leadership

Education

Bachelor's or Master's Degree in Computer Science, Engineering, or related discipline

Tools

Spring Boot

Docker

AWS

CI/CD

DevOps

Application Security

Job description

Are you passionate about designing scalable enterprise solutions and driving digital transformation? We're looking for an experienced Solution Architect to join a high-performing Architecture team and lead the design of innovative, cloud-first solutions that deliver real business value.

Key Responsibilities

• Lead solution architecture initiatives that support enterprise digital transformation.
• Design scalable, secure, and resilient cloud-native microservices architectures.
• Drive AI and Generative AI adoption to improve automation and business capabilities.
• Conduct proof of concepts (POCs), technical evaluations, and feasibility assessments for emerging technologies.
• Partner with business stakeholders, product owners, and engineering teams to deliver innovative technology solutions.
• Develop AI-driven solutions that enhance customer, distributor, and partner experiences.
• Produce architecture blueprints and present solutions at architecture governance forums.
• Ensure compliance with enterprise architecture, security, data governance, and regulatory standards.
• Evaluate vendor technologies for scalability, resiliency, security, and business fit.
• Provide technical leadership throughout the solution delivery lifecycle.

Requirements

• Proven experience as a Solution Architect delivering enterprise-scale solutions.
• Strong experience in Digital Transformation and enterprise architecture.
• Hands-on knowledge of Generative AI and Machine Learning technologies.
• Expertise in Cloud-Native Microservices Architecture using:
• Spring Boot
• Docker
• Experience with one or more cloud platforms:
• Amazon Web Services (AWS)
• Strong understanding of:
• Application Security
• DevOps
• CI/CD
• Excellent stakeholder management, communication, analytical, and problem-solving skills.
• Ability to manage multiple priorities in a fast-paced environment.
• Experience in the Insurance or Financial Services industry is an advantage.

Preferred Qualifications

• Bachelor's or Master's Degree in Computer Science, Engineering, or a related discipline.
• Cloud or AI-related professional certifications are highly desirable.