Senior AI Solution Architect

Powering the Future with AIDA

To lead the next phase of our AI evolution, we’ve launched a new business unit AIDA –
Artificial Intelligence & Data Analytics – a strategic engine driving our transformation designed to scale our AI ambitions with precision and purpose. This marks a pivotal shift in how we operate, innovate, and serve to embed intelligence into every layer of our business.

At Singtel
, this is more than a technology upgrade. It’s a strategic transformation that redefines how value is created across the enterprise core—
augmenting human capabilities and unlocking entirely new potential. It is a transformation journey by aligning people, platforms, and processes under one cohesive strategy. Our mission is to build AI literacy
, and foster a culture where intelligence empowers people
.

We welcome you to join us on a transformational journey that’s reshaping the telecommunications industry — and redefining what’s possible with AI at its core.
Grow with us in a workplace that champions innovation
, embraces agility
, and puts human potential at the heart of everything we do.

Be a Part of Something BIG!

You will serve as the technical expert in architecting enterprise-grade and end-to-end AI solutions across Singtel. Working within the AI & Data Analytics (AIDA) business unit, you will drive the design, integration, and deployment of scalable AI workflows that are secure, interoperable, and business-aligned.

This role sits at the intersection of data, platforms and business systems that plays a critical role in translating AI vision into actionable architecture and technical designs. You will collaborate with cross-functional teams across Networks, IT, and external partners to ensure that AI solutions are integrated seamlessly into existing infrastructures and future‑ready ecosystems.

• Design end‑to‑end AI solutions that are robust, scalable, and span data ingestion, model deployment, API orchestration, and business system integration across hybrid cloud and on‑prem environments
• Architect and deliver solutions for the Central AI platform, encompassing Agentic AI, AI Workbench and Tooling, Model Management, shared RAG service, MCP, AI Runtime environments, etc
• Develop solution blueprinting by translating business needs into technical architecture, including selecting appropriate tools, frameworks, and infrastructure for AI model development and operations
• Integrate AI capabilities with internal APIs, enterprise platforms and user‑facing applications in IT and Networks including LLM‑based and agentic workflows
• Ensure secure and compliant architecture in collaboration with cybersecurity and governance teams, embedding PDPA and enterprise policy requirements into designs
• Evaluate and recommend AI platforms and tools (e.g. Portkey, Databricks, open‑source toolkits) based on enterprise goals and technical fit
• Collaborate with AI engineering and data teams to ope rationalise AI models, ensuring architectural alignment, scalability, and lifecycle support
• Contribute to proof‑of‑concepts (PoCs), technical evaluations, and prototyping efforts under supervision
• Stay current with AI technologies and best practices in integration, model lifecycle management, and platform operations
• Participate in architecture reviews, technical discussions, and sprint planning with cross‑functional teams
• Define and enforce architectural standards, reusable design patterns, open‑standard, and reference implementations to streamline AI deployment across business units
• Provide technical leadership in prototyping, experimentation, vendor technology evaluations, and innovation pilots
• Stay updated on emerging AI technologies such as vector databases, context‑aware agents, orchestration protocols (e.g. Lang Chain, Lang Graph, MCP, A2A, etc) and assess their applicability within the enterprise
• Responsible for leading solutioning activities and managing a small development team consisting of AI engineer and application developer for selected use cases

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data, AI/ML, or related field.
• 3 to 5 years of experience in solution…