Senior AI Engineer #AIDA

Singtel; Singapore; On-site; Confidential; Full time

Job summary

Singtel seeks a Lead AI Engineer to own the design and delivery of AI and Agentic AI solutions across the organisation. You will guide a team of AI and software engineers, providing hands-on technical direction and ensuring secure, scalable production-ready systems.

You’ll translate business requirements into actionable tasks, drive end-to-end development, and align with enterprise architecture, security controls, and platform standards.

Qualifications

• Bachelor's or Master’s degree in Computer Science, Engineering, AI or related field.
• 7+ years of hands-on experience delivering full stack software and AI solutions.
• Strong proficiency in Python, TypeScript/NodeJS and SQL.
• Experience designing and leading LLM-based and agentic AI systems.

Responsibilities

• Lead end-to-end technical design of AI and Agentic AI solutions aligned with architecture and security.
• Translate requirements into detailed technical specs, tasks and implementation plans.
• Oversee full development lifecycle for AI, software and automation workflows; provide hands-on guidance.
• Provide technical leadership across backend, frontend, API integration, LLM orchestration and middleware.
• Review designs and enforce engineering standards, code quality and performance.

Skills

Python

TypeScript/NodeJS

SQL

LLM orchestration

LangChain

API design

Security patterns

Cloud deployments

MLOps/DevSecOps

Leadership/mentorship

Education

Bachelor's in CS/Engineering or related

Tools

LangChain

LangGraph

REST APIs

gRPC

OAuth2/JWT/SSO

Job 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 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.