Solutions Architect

R Systems; Kuala Lumpur; On-site; MYR 180,000 - 320,000; Full time

Job summary

R Systems in Malaysia seeks a senior professional to define, design, and govern end-to-end technology solutions, spanning cloud, data, and AI-enabled capabilities. The role ensures scalability, security, and sustainability across major initiatives and serves as the key interface between business stakeholders and technical delivery teams.

The ideal candidate has 8–10 years in IT with 4–5+ years in solution architecture, comfortable with architecture modeling, cloud platforms, and AI technologies,

Qualifications

• Bachelor’s or Master’s degree in computer science, engineering, or a related field.
• 8–10 years of overall IT experience, with 4-5+ years in solution architecture.
• Architecture or cloud certifications preferred (e.g. TOGAF, Azure/GCP Solution Architect).
• Experience delivering AI, analytics, or Generative AI solutions from concept through production deployment is advantageous.

Responsibilities

• Design end‑to‑end solution architectures covering applications, data, integration, infrastructure, and cloud platforms.
• Translate business strategies and requirements into fit‑for‑purpose technical solutions.
• Ensure alignment with enterprise architecture principles, security, and governance standards.
• Define non‑functional requirements (performance, availability, scalability, reliability).
• Design and implement AI-enabled solutions, including Generative AI use cases, ensuring alignment with enterprise architecture, security, and governance standards.

Skills

Solution architecture

Cloud platforms

AI/Generative AI

Security & governance

DevOps & automation

Architecture modeling (C4/UML/ArchiMa)

Education

Bachelor’s or Master’s in CS/Engineering

Tools

Azure AI Services

Azure OpenAI

Databricks

Job description

The Solution Architect is responsible for defining, designing, and governing end-to-end technology solutions, including cloud, data, and AI-enabled capabilities, that meet business needs, align with enterprise architecture standards, and ensure scalability, security, and sustainability across major initiatives. The role acts as the key interface between business stakeholders and technical delivery teams.

KEY RESPONSIBILITIES OF THE ROLE

• Design end‑to‑end solution architectures covering applications, data, integration, infrastructure, and cloud platforms
• Translate business strategies and requirements into fit‑for‑purpose technical solutions
• Ensure alignment with enterprise architecture principles, security, and governance standards
• Define non‑functional requirements (performance, availability, scalability, reliability)
• Design and implement AI-enabled solutions, including Generative AI use cases, ensuring alignment with enterprise architecture, security, and governance standards..

Technical Design & Governance

• Provide architectural direction to development, infrastructure, DevOps, and security teams
• Review solution designs, technical documentation, and major implementation decisions
• Manage architectural risks, dependencies, and technical debt
• Define AI operational standards, including model monitoring, performance measurement, prompt management, and model versioning.

Stakeholder & Delivery Engagement

• Collaborate closely with business stakeholders, product owners, and project managers
• Communicate complex architectural concepts clearly to both technical and non‑technical audiences
• Evaluate emerging technologies and recommend improvements to existing architectures
• Contribute to enterprise standards, reference architectures, and best practices
• Contribute to enterprise AI reference architectures, patterns, standards, and reusable accelerators.

QUALIFICATIONS AND EXPERIENCE

• Bachelor’s or master’s degree in computer science, Engineering, or a related field
• 8–10 years of overall IT experience, with 4-5+ years in solution architecture
• Architecture or cloud certifications preferred (e.g. TOGAF, Azure/GCP Solution Architect)
• Experience delivering AI, analytics, or Generative AI solutions from concept through production deployment is advantageous.

TECHNICAL / FUNCTIONAL SKILLS

• Strong experience across:
• Databases (relational, NoSQL, data lakes, analytics)
• Solid understanding of:
• Security architecture and compliance principles
• DevOps, CI/CD pipelines, and automation
• High availability, resilience, and disaster recovery design
• Proficiency in architecture modeling and documentation (e.g. C4 Model, UML, ArchiMate)
• Familiarity with AI technologies and platforms such as Azure AI Services, Azure OpenAI, Databricks, and related cloud-native AI capabilities.

Delivery & Governance

• Experience working in Agile, hybrid delivery environments
• Strong documentation and design governance capability

BEHAVIOURAL COMPETENCIES AND SKILLS

• Strategic Thinking – Sees the big picture and aligns solutions with long‑term business goals
• Stakeholder Influence – Builds trust and influences decisions across senior stakeholders
• Communication – Explains complex technical concepts in a clear and concise way
• Problem Solving – Analyzes complex challenges and makes sound architectural decisions
• Collaboration – Works effectively across business, technology, and vendor teams