Lead Agent Evaluation & Instrumentation #AIDA

Singapore Telecommunications Limited

Singapore

On-site

SGD 180,000 - 240,000

Full time

13 days ago
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Job summary

Singtel is expanding its AI & Data Analytics unit and seeks a senior leader to own the evaluation and instrumentation of AI agents and ML models deployed to production. You will establish the metrics, gates, and telemetry needed to prove safety, quality, and reliability before launch and oversee a team of engineers and analysts responsible for independent assessments.

You will coordinate with cross-functional partners to drive improvements, manage stakeholder expectations, and report progress to

Qualifications

  • Must have 10+ years in software/ML/quality with 3+ years leading technical teams.
  • Experience operating or evaluating ML/LLM systems in production.
  • Strong design of metrics and observability for AI systems.
  • Clear written communication for gate findings and executive reporting.

Responsibilities

  • Own the Day 1 → Day 2 handover process and gate authority for AI agents and models.
  • Lead operability gate reviews and drive independent go/no-go decisions.
  • Set instrumentation standards and certify telemetry completeness.
  • Mentor the evaluation and instrumentation team and coordinate with cross-functional partners.

Skills

Leadership
ML Systems
Quality Assurance
Observability
Gate Reviews
Stakeholder Management
Executive Reporting
People Leadership

Education

Degree in CS/DS/Engineering

Tools

Dashboards
Telemetry
RAG Agents

Job description

Powering the Future with AIDA

To lead the next phase of our AI evolution, we’ve launched a new business unitAIDA–Artificial 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. It’s astrategic transformationthat redefines how value is created across the enterprise core—augmenting 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 us on a transformational journey that’s reshaping the telecommunications industry — and redefining what’s possible with AI at its core. Grow with us in a workplace that champions innovation, embraces agility, and puts human potential at the heart of everything we do.

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

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