Lead AI Engineer- #AIDA

Powering the Future with AIDA

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

AtSingtel this is more than a technology upgrade. Its astrategic transformationthat redefines how value is created across the enterprise coreaugmenting human capabilitiesand unlocking entirely new potential. It is a transformation journey by aligningpeople platforms and processesunder one cohesive strategy. Our mission is to buildAI literacy and foster a culture whereintelligence empowers people.

We welcome you to join uson a transformational journey thats reshaping the telecommunications industry and redefining whats possible with AI at its core.Grow with usin a workplace that championsinnovation embracesagility and putshuman potentialat the heart of everything we do.

Be a 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.

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:

• Bachelors or Masters degree in Computer Science Engineering Artificial Intelligence or a related technical field. Candidates with advanced specialisation in full stack engineering or AI engineering are preferred.
• More than 7 years of hands on experience delivering full stack software and AI solutions with at least 2 to 3 years in a senior or technical lead capacity supervising engineers. Proven experience designing end to end AI and Agentic AI solutions.
• Strong full stack engineering capability across frontend backend API design and system integration with deep proficiency in Python TypeScript or NodeJS and SQL.
• Experienced in designing and leading implementation of LLM based and agentic AI systems including orchestration patterns using frameworks such as LangChain or LangGraph.
• Strong capability in integrating AI solutions with enterprise platforms covering RESTful APIs gRPC MCP and secure middleware components.
• Solid understanding of authentication and authorization patterns including OAuth2 JWT and SSO technologies.
• Hands on experience designing scalable cloud deployments on Azure AWS or GCP with good understanding of CI and CD practices.
• Proven ability to conduct technical reviews enforce engineering standards and guide other engineers in code quality architecture and system performance.
• Proven ability to troubleshoot complex issues across frontend backend APIs AI models and middleware in production environments.
• Experience in LLMOps/GenAIOps MLOps DevSecOps
• Passion for applied R&D staying ahead of AI advancements and bringing innovative ideas into production.
• Strong problem-solving ability attention to detail and ability to collaborate effectively across teams.
• Capable to work in a cross-functional team (Software/AI engineers data platform business users).
• Experience in building secure enterprise-grade integrations.

Hiring Manager: Ng Ping

Talent Acquisition Manager: Ching Yap

Are you ready to say hello to BIG Possibilities

Take the leap with Singtel to unlock new opportunities and accelerate your growth. Apply now and start your empowering career!