# Senior AI Solution Architect at Singtel

Singtel is hiring a Senior AI Solution Architect in Singapore, Singapore. Level rates it Works on AI ●●●○; you can [apply on Singtel](https://jobsbylevel.com/go/15ee2b44-7869-48d5-b87a-b2fb3209b96e?utm_medium=ai-agent).

AI Level 3, AI centrality 67 out of 100. Singapore, Singapore.

## Details

- Company: [Singtel](https://jobsbylevel.com/companies/singtel)
- AI level: AI Level 3 (score 67 out of 100)
- Location: Singapore, Singapore
- Posted: October 21, 2026
- Apply: https://jobsbylevel.com/go/15ee2b44-7869-48d5-b87a-b2fb3209b96e?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-ai-solution-architect-at-singtel-81fd91

## Prepare for this job

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## Description

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! As a Senior AI Solution Architect, 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. Make an Impact by: 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 operationalize 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. LangChain, LangGraph, MCP, A2A, etc) and assess their applicability within the enterprise Responsible for leading solutioning activities and managing a small development team consists of AI engineer and

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