# Lead AI Engineer #AIDA at Singtel

Singtel is hiring a Lead AI Engineer #AIDA in Singapore, Singapore. Level rates it Works on AI ●●●○; you can [apply on Singtel](https://jobsbylevel.com/go/2cd2bca6-c2e5-4df7-9798-ad57edceb1d2?utm_medium=ai-agent).

AI Level 3, AI centrality 66 out of 100. Singapore, Singapore.

## Details

- Company: [Singtel](https://jobsbylevel.com/companies/singtel)
- AI level: AI Level 3 (score 66 out of 100)
- Location: Singapore, Singapore
- Posted: November 13, 2026
- Apply: https://jobsbylevel.com/go/2cd2bca6-c2e5-4df7-9798-ad57edceb1d2?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=lead-ai-engineer-aida-at-singtel-206b7a

## 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 part of something BIG! We are seeking an experienced Lead AI Engineer to oversee the design and delivery of AI and Agentic AI solutions across the organisation. You will act as the technical lead who works closely with solution architects to translate business and system requirements into clear development tasks, technical designs, and implementation plans. You will guide a team of AI engineers and software engineers, provide hands on technical direction, review solution quality, and ensure that all AI components and software modules are secure, scalable, and ready for production. The role requires deep applied AI development experience, strong full stack engineering capability across frontend and backend, and the ability to drive engineering excellence through mentorship and leadership. How you will make an impact: Lead the end to end technical design of AI and Agentic AI solutions, ensuring alignment with enterprise architecture, security controls, and platform standards. Translate high level requirements from architects and product owners into detailed technical specifications, development tasks, and implementation plans. Oversee the full development lifecycle for AI, software, and automation workflows, providing hands on guidance and removing technical blockers for the team. Provide technical leadership across backend, frontend, API integration, LLM orchestration, agent frameworks, and workflow automation to ensure consistency and quality. Review and approve solution designs, architecture diagrams, data flows, and code contributions from senior and junior engineers. Drive the integration of AI solutions with enterprise systems, ensuring robust connectivity through APIs, MCP and other frameworks, while enforcing best practices. Guide the design of hybrid solutions that combine AI models, prompting logic, rule engines, middleware, RPA, and human in the loop elements in a coherent workflow. Oversee the stability and performance of production systems, define monitoring strategies, and ensure issues are escalated and resolved quickly. Establish engineering standards covering code quality, documentation, testing strategies, CI and CD practices, and security reviews. Mentor and coach senior and junior AI engineers, provide structured guidance, and drive upskilling for full stack development, AI integration, and delivery discipline. Work closely with platform teams, cybersecurity, data engineering, product owners, and business stakeholders to ensure alignment and timely delivery. Own risk identification and mitigation across AI solutions, including fallback strategies, model behaviour oversight, and protection against misuse or unexpected outputs. Represent the AI engineering team in architecture discussions, solution reviews, and governance forums. Able to design and maintain RAG systems, including content ingestion, embedding, vector storage, retrieval

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