# Senior AI Engineer #AIDA at Singtel

Singtel is hiring a Senior AI Engineer #AIDA in Singapore, Singapore. Level rates it Builds AI ●●●●; you can [apply on Singtel](https://jobsbylevel.com/go/788046f5-8659-4437-a421-550dcf56ee43?utm_medium=ai-agent).

AI Level 4, AI centrality 95 out of 100. Singapore, Singapore.

## Details

- Company: [Singtel](https://jobsbylevel.com/companies/singtel)
- AI level: AI Level 4 (score 95 out of 100)
- Location: Singapore, Singapore
- Posted: November 4, 2026
- Apply: https://jobsbylevel.com/go/788046f5-8659-4437-a421-550dcf56ee43?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-ai-engineer-aida-at-singtel-639900

## 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. We are seeking a highly skilled AI Engineer to design, build, and scale AI and Agentic AI solutions that drive real business impact. You will collaborate closely with solution architects and Lead AI Engineers to translate requirements into robust AI-driven systems, ensuring solutions are secure, scalable, and production-ready. This role requires a strong balance of applied AI development, full stack (front end/backend) software engineer, R&D curiosity, and operational ownership. How you will make an impact: Build end-to-end AI Agentic applications using Agents SDK or equivalents, frontier Large Language Models, and node.js/python runtimes Develop and maintain integration of AI Agentic solutions with enterprise systems via MCPs, A2A, and related frameworks. Work with architects to understand requirements and define solution approaches, while partnering with software engineers for system integration. Enhance and maintain user interfaces for usability and continuous improvement across various Channels including Voice/Telephony, Web Messaging, Mobile Applications, and WhatsApp Design hybrid solutions combining backend, frontend, LLM, prompting, A2A for agentic integration, MCP, and human-in- the-loop workflows Maintain middleware components including SSO, authentication, and authorization mechanisms. Monitor production AI agents, track KPIs, and proactively resolve performance or reliability issues. Implement security best practices, establish fallback/backup strategies, and mitigate potential risks in AI solutions. Maintain and enhance existing solution with right and relevant AI capabilities across Enterprise, Consumer, IT, Networks and Corporate Functions domain. Support and optimize the marketplace recommender system, ensuring updated offers and business rules are integrated smoothly. Monitor, troubleshoot, and improve production pipelines, backend and frontend application and AI services for reliability, performance, and scalability. Stay up to date with the latest advancements in Agentic AI and conduct applied research to enrich internal capabilities. Apply software engineering standards, including modular code design, reproducibility, and rigorous testing. Faced new problems which does not exist a tested approach and requires some level of R&D Balancing between process and approval management vs project timelines Skills for Success: Bachelor’s or Master’s degree in Computer Science, Engineering, Data, AI/ML, or related field. 5 years of proven experience developing and deploying software and AI solutions, with exposure to agentic AI frameworks. Proficient in Python, and/or TypeScript/nodejs, or functional languages Hands-on experience with Agents SDK, LangChain, or similar AI frameworks. Good knowledge in LLM integration and orchestration. Knowledge in prompt engineering. Experience with system integration - RESTful, gRPC, MCP a plus. Knowledge of

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