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r systems consulting services limited

Singapore / Global

SOLUTION ARCHITECT

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.

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