Solution Architect

R Systems; Singapore; On-site; SGD 120,000 - 190,000; Full time

Job summary

R Systems in Singapore seeks a Senior Solution Architect to lead digital transformation initiatives and design cloud-native architectures. You will champion AI-driven automation, guide architecture decisions, and collaborate with cross-functional teams to deliver scalable, secure solutions.

The role requires expertise in Spring Boot, Docker, Kubernetes, and multi-cloud platforms, with strong security and governance knowledge.

Qualifications

• Proven experience as a Solution Architect with digital transformation exposure.
• Strong understanding of ML/Generative AI technologies.
• Experience with cloud-native microservices and multi-cloud platforms.
• Solid knowledge of application security, architectures, and engineering best practices.
• Familiarity with architecture as code design.
• Excellent analytical, problem-solving, and communication skills for stakeholder influence.
• Insurance or financial services domain knowledge is a plus.

Responsibilities

• Lead technology innovation and digital transformation solutions with measurable outcomes.
• Design and implement cloud-native microservices architectures that are scalable and secure.
• Champion AI adoption for automation and modernization.
• Conduct POCs, assessments, and feasibility studies on new technologies.
• Collaborate with product owners and engineering teams to translate requirements into blueprints.
• Ensure compliance with security, data governance, and regulatory standards.
• Present solution architectures to governance forums in local and Asia regions.
• Act as internal consultant to craft transformation proposals and lead interim architectures.
• Evaluate vendor solutions for architecture risk, security, and availability.
• Drive upsell opportunities by partnering with business teams.

Skills

Solution architecture

Digital transformation

AI & ML concepts

Security

DevOps

Stakeholder influence

Multi-priority management

Education

Bachelor's or Master's in CS/Engineering

Tools

Spring Boot

Docker

Kubernetes

Azure

AWS

OCI

Job description

Key Responsibilities

• Lead technology innovation and digital transformation solutions to deliver measurable business outcomes.
• Design and implement cloud-native, microservices-based architectures that are scalable, resilient, and secure.
• Champion AI adoption for automation, process optimization, and architecture modernization.
• Conduct POCs, technical assessments, and feasibility studies to evaluate emerging technologies and solutions.
• Partner with customer experience and marketing business to improve net promotor scores and generate upsell opportunities.
• Build AI driven solutions and tools to improve distributors and partners sales experience.
• Collaborate with product owners, business analysts, and engineering teams to translate requirements into technical blueprints.
• Ensure compliance with security, data governance, and regulatory standards.
• Prepare and present solution architectures in governance local and Asia governance forums.
• Act as an internal consultant to craft business transformation proposals and lead implementation through interim architectures.
• Evaluate vendor solutions for architecture risk, security, resiliency, and availability.

Required Skills & Qualifications

• Proven experience as a Solution Architect with strong exposure to digital transformation.
• Solid understanding of Machine Learning and Generative AI technologies.
• Expertise in cloud-native microservices (Spring Boot, Docker, Kubernetes) and cloud platforms (Azure, AWS, OCI).
• Strong knowledge of application security, architectural frameworks, and engineering best practices (Agile, DevOps, CI/CD).
• Familiarity with architecture as a code design.
• Excellent analytical, problem-solving, and communication skills with ability to influence stakeholders.
• Ability to manage multiple priorities and deliver in a fast-paced environment.
• Insurance domain knowledge is a plus.

Preferred Qualifications

• Bachelor's or master's degree in computer science, Engineering, or related field.
• Experience in large-scale digital transformation projects within financial services or insurance.
• Certifications in cloud platforms, or AI technologies is a plus.