# Senior AI Engineer #AIDA at Singtel

Singtel is hiring a Senior AI Engineer #AIDA in Singapore, Singapore. Level rates it Works on AI ●●●○; you can [apply on Singtel](https://jobsbylevel.com/go/bece2a10-baf9-49e0-8f41-2fd57547b0ed?utm_medium=ai-agent).

AI Level 3, AI centrality 64 out of 100. Singapore, Singapore.

## Details

- Company: [Singtel](https://jobsbylevel.com/companies/singtel)
- AI level: AI Level 3 (score 64 out of 100)
- Location: Singapore, Singapore
- Posted: October 26, 2026
- Apply: https://jobsbylevel.com/go/bece2a10-baf9-49e0-8f41-2fd57547b0ed?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-ai-engineer-aida-at-singtel-cbc7ba

## Prepare for this job

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## Description

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”. 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. Make an Impact by: 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 tuning, and accuracy checks for enterprise use cases. Drive continuous improvement for the marketplace recommender engine, enterprise AI services, and core reusable components. Coordinate effort estimation, sprint planning, prioritisation, and resource allocation for the AI engineering team. Ensure delivered solutions are secure, scalable, compliant, and ready for production deployment. Keeping close watch on new developments in AI, running small proof of concept work to understand their value, and advising the team on which solutions are suitable for adoption. Skills for Success: Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence or a related technical field. Candidates with advanced specialisation in full stack

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