Lead Agent Evaluation & Instrumentation #AIDA

About the role

Role Summary

Lead the Agent Evaluation & Instrumentation function as the independent quality authority for the telco’s production AI estate. Own the Day 1 → Day 2 handover process and hold go/no-go gate authority over every AI agent and AI/ML model entering production.

Define what “good” means through the metrics catalogue, evaluation suites, and instrumentation standards, and ensure the organisation can prove agent quality, safety, and reliability before and after launch.

Lead a team of evaluation and instrumentation engineers and analysts, safeguarding evaluation independence from delivery pressure.

How You will Make An Impact:

• Own, publish, and continuously improve the Day 1 → Day 2 handover process, operability gates, and shadow-run exit criteria across all agent archetypes (RAG, SQL, task-based autonomous, AI/ML models, voice overlay).
• Chair operability gate reviews and issue independent go/no-go decisions with written findings; track remediation of conditional passes to closure.
• Set instrumentation and telemetry standards (trace schema, required events, dashboards) and certify telemetry completeness before shadow-run exit.
• Lead, coach the Agent Eval & Instrumentation team to build specific AI/Agent use case operational and evaluation dashboards in consultation with Agent Capabilities Services and Business/Product Owners.
• Drive the improvement engine: convert production signals into a prioritised optimisation backlog routed to Agent Capabilities Services, Data & Harness Engineering, and AI/Agent Operations, and evidence that shipped improvements moved the target metric.
• Represent Agent Eval & Instrumentation with cross-functional partners such as (Agent Capabilities Services, Data & Harness Engineering, Central AI Platform & Ops, AI Lab) and provide quality and reliability inputs to CAIO/board reporting.
• Lead, coach, and develop the Agent Eval & Instrumentation team; manage evaluation independence, workload prioritisation, and performance.

Skills for Success:

• Degree in Computer Science, Data Science, Engineering, or related field

• 10+ years in software/ML/quality with 3+ years leading technical teams

• Experience operating or evaluating ML/LLM systems in production

• LLM/agent evaluation methods (offline & online, LLM-as-judge)

• Metrics design and observability/instrumentation for AI systems

• Understanding of RAG, SQL agents, autonomous agents and AI/ML model lifecycles

• Strong stakeholder management and the independence to hold a line

• Clear written communication for gate findings and executive reporting

• People leadership and coaching

Are you ready to say hello to BIG Possibilities?

Join Singtel to shape what's next and accelerate your career through meaningful work, continuous learning, and real impact.