Senior AI Platform Architect #AIDA
Listed on 2026-10-15
-
IT/Tech
Systems Engineer, AI Engineer (Applied/Software), Cloud Computing: Infrastructure & Operations, AI Business & Operations
An empowering career at Singtel begins with a Hello. Our purpose, to Empower Every Generation, connects people to the possibilities they need to excel. Every "hello" at Singtel opens doors to new initiatives, growth, and BIG possibilities that takes your career to new heights. So, when you say hello to us, you are really empowered to say…“Hello BIG Possibilities”.
Singtel is where Technology meets Purpose.We are building an AI-first telco for the future—connecting people, businesses and communities through trusted networks, intelligent digital services and next-generation technology. From transforming everyday experiences in mobile, broadband, entertainment and lifestyle services to enabling enterprises with AI, 5G+, cloud, cybersecurity, data centres and digital platforms, we create the technology that powers how millions live, work and connect.
At Singtel, your work creates real impact. You'll solve meaningful challenges, shape critical digital infrastructure and help build secure, resilient and AI-enabled solutions that serve businesses, digital ecosystems and communities across the globe.
This is where BIG Possibilities become reality. Whether you're engineering intelligent networks, advancing sovereign AI cloud platforms, strengthening cybersecurity, designing seamless customer experiences or driving sustainable innovation, you'll be part of teams shaping the future of technology.
Backed by decades of expertise and driven by a culture of continuous learning and innovation, Singtel offers the scale, opportunities and support to help you grow your career while making a difference where it matters most.
Role Summary
As a Senior AI Platform Architect, you will be responsible for the architecture, technical design and evolution of assigned AI platform domains within Singtel's enterprise AI platform, including the Central AI Kitchen (CAK) or equivalent and its supporting AI ecosystem. You will define domain architecture, evaluate emerging technologies and develop reusable platform capabilities that enable secure, scalable and enterprise-ready AI services across the organisation.
Working closely with the Lead AI Platform Architect, Enterprise Architecture, AI Platform Engineering, AI Platform Operations, AI Security and AI Solution Architecture teams, you will translate enterprise AI platform strategy into domain-specific architectures, technical standards and implementation guidance, ensuring platform capabilities align with enterprise architecture, governance and business requirements.
You will serve as the technical lead for your assigned platform domain(s), providing architectural guidance throughout capability planning, implementation and lifecycle evolution while continuously evaluating emerging AI technologies to improve platform capabilities.
How You Will Make An Impact
- Own the architecture, technical design and roadmap for assigned AI platform domain(s) or capability areas, ensuring alignment with the enterprise AI platform strategy.
- Design for the particular reusable platform capabilities such as Model Gateway, MCP, Observability, Eval and Agent Ops architecture, etc architectural patterns and technical standards for assigned platform domains.
- Engage with technology partners, cloud providers and AI vendors to evaluate emerging technologies relevant to assigned platform domains.
- Implement proof-of-concept (PoC), technology evaluation and pilot initiatives for assigned platform capabilities, validating technical feasibility, scalability and enterprise readiness.
- Work with the Lead Platform architect to design the architecture and best practices for assigned AI platform capabilities, including model optimisation, inference, orchestration or other specialised domains.
- Design platform capabilities supporting multimodal AI, AI agents, model lifecycle or other assigned technical domains.
- Define architecture and governance for assigned platform capabilities, ensuring alignment with enterprise AI standards and lifecycle management practices.
- Evaluate emerging AI frameworks, technologies and commercial platforms, recommending adoption within assigned platform domains.
- Contribute to Build, Buy or Partner recommendations by assessing technologies against enterprise architecture principles, business requirements and platform strategy.
- Develop and maintain architecture documents, reusable design patterns, implementation guidelines and technical standards for assigned platform capabilities.
- Collaborate with Enterprise Architecture,…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).