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We are seeking an experienced AI Solution Architect to drive the solution strategy and architecture for AI, GenAI, and cloud-native initiatives. The individual will engage extensively with business stakeholders to understand requirements, align technology solutions with organisational principles, and ensure robust, secure, and scalable architectures. This role requires hands-on technical expertise, strong architectural decision-making, and the ability to guide engineering teams through solution implementation while maintaining compliance with design, security, and privacy standards.
Job Responsibility:
Engage with business teams to understand requirements and articulate how the AI Booster (AIB) landscape addresses their needs
Design end-to-end architecture solutions including High-Level Designs (HLD) and Low-Level Designs (LLD), ensuring alignment with organisational standards
Collaborate with Security and Privacy teams to secure necessary design approvals
Support platform engineers throughout implementation and lead POCs across AI, GenAI, cloud, and related technologies
Ensure solution delivery within agreed timelines and support stakeholder alignment across a multi-customer environment
Apply cloud-native design principles across GCP, Azure, AWS and leverage multi-cloud capabilities where applicable
Lead documentation, version control, configuration management, and design governance processes
Ensure automation framework design and execution remain aligned with project needs
Drive effective troubleshooting and solution optimisation
Requirements:
Hold a degree in science, technology, or a related discipline
14+ years of experience as a solution engineer or architect with hands-on technical capability
Proficient in programming languages such as Java and Python
Skilled in designing and deploying microservice-based architectures and messaging systems
Experienced with AI/ML and GenAI solution design and implementation
Knowledgeable across major cloud platforms including GCP, Azure, and AWS
multi-cloud experience is desirable
Strong understanding of agile methodologies (SAFe Agile/Scrum preferred)
Highly analytical, with strong communication, collaboration, and stakeholder management skills
Comfortable making architectural decisions and guiding teams within a complex, multi-stakeholder environment
What we offer:
Opportunity to work on cutting-edge AI, GenAI, and cloud-native architectures that directly influence digital transformation across VOIS
Experience in a global, collaborative environment with exposure to diverse technology ecosystems
Ability to shape architectural direction and solution adoption across business functions