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Experience
Experienced
About the role
Singtel's Artificial Intelligence & Data Analytics (AIDA) team is expanding and inviting experienced AI Harness Engineers to register interest for current and upcoming roles. This is a senior individual-contributor position that blends deep hands-on engineering with technical leadership, focused on building the foundations that let AI models and agents run reliably, safely and at enterprise scale. It suits engineers with a strong production systems background who enjoy solving cross-cutting problems and setting reusable standards.
What you'll do
Define the architecture and technical direction for reusable AI harness capabilities across Singtel.
Registration of Interest for #AIDA Talent Acceleration Day (Sept 2026) -Senior AI… job at Singtel, Singapore | WorkJio
Design and build common frameworks for agent orchestration, context engineering, memory, tool integration, evaluation, simulation, instrumentation and runtime controls.
Establish engineering patterns for connecting AI agents securely to enterprise data, APIs, MCP servers, workflows and operational systems.
Define evaluation strategies and quality gates covering task success, grounding, tool execution, safety, reliability, latency and cost.
Design scalable evaluation and experimentation infrastructure supporting automated regression testing, simulation, replay and production feedback loops.
Establish instrumentation and observability patterns that enable teams to understand and diagnose AI and agent behaviour end to end.
Design mechanisms to capture production failures, user feedback and operational outcomes and convert them into continuously improving evaluation datasets and tests.
Define patterns for agent identity, permissions, policy enforcement, human oversight, graceful degradation and fail-safe behaviour.
Build reusable SDKs, libraries, services and reference implementations that enable engineering teams to develop production AI systems faster and more consistently.
Make architectural trade-offs across model capability, reliability, latency, security, sovereignty, scalability and cost.
Lead complex technical investigations and resolve systemic engineering and reliability issues across AI applications.
Partner with AI Engineering, Central AI Platform, AI & Agent Operations, Data, Cybersecurity and business engineering teams to establish production engineering standards.
Provide technical leadership through architecture and design reviews, code reviews, mentoring and hands-on engineering.
Evaluate emerging AI infrastructure, agent frameworks and engineering approaches and determine where Singtel should build, adopt or standardise.
Good to know
This is a registration of interest for the AIDA Talent Acceleration Day (Sept 2026).
The role is based in Singapore.
Requirements
Bachelor's or Master's degree in Computer Science, Engineering, AI/ML or related field, or equivalent practical experience
Typically 8+ years of software, platform, distributed systems, AI or ML engineering experience, including significant production-grade system design and operation
Deep software engineering expertise in Python with strong foundations in APIs, distributed systems, concurrency, testing and system design
Hands-on experience architecting and building production LLM, RAG or agentic systems
Strong understanding of agent architectures, context engineering, retrieval, memory, tool/function calling and orchestration
Strong experience in evaluation, observability, testing or reliability engineering for complex production systems
Benefits
Meaningful work
Continuous learning
Real impact
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