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Singtel

Associate Director, AI & Agent Operations #AIDA

Singtel is hiring an Associate Director, AI & Agent Operations #AIDA in Singapore, Singapore. Level rates it ; you can apply on Singtel.

Level's read on this job

  • Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting mentions mlops, AI operations and model evaluation among its tools and skills.
  • Level classes it as an executive role.
  • Singtel has 488 other open roles on Level.

AI in this role

Associate Director leading AI and agent operations, managing the end-to-end production AI estate, MLOps, and model evaluation.

mlopsai-operationsmodel-evaluationgenaiincident-response

Powering the Future with AIDA

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

At Singtel, this is more than a technology upgrade. It’s a strategic transformation that redefines how value is created across the enterprise core— augmenting human capabilities and unlocking entirely new potential. It is a transformation journey by aligning people, platforms, and processes under one cohesive strategy. Our mission is to build AI literacy, and foster a culture where intelligence 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.

About the Role:

Lead the Day 2 AI & Agent Operations function, accountable for operating, monitoring, evaluating and governing the organisation’s production AI estate — GenAI agents and traditional classical AI/ML models. Manage agent operations and evaluation / observability team and the traditional classical machine-learning operations team. Own the operating model that takes AI from build to dependable production — handover gates, 24×7 monitoring and incident response, evaluation and observability, and safe model operations. Ensure defined standards of reliability, safety and quality. Serve as the senior operational point of accountability for AI in production, and as the primary partner to the Day 1 build organisation, platform, data and business stakeholders.

How You will Make An Impact:

  • Own the Day 2 operating model end to end — handover gates, evaluation and observability, 24×7 agent operations, and traditional ML operations — across both locations.
  • Lead and develop both the Singapore and India team of agent operations & evaluation and ML operations.
  • Manage a distributed, cross-border operation: define how Singapore and India work together, ensure clear ownership and handoffs, and safeguard coverage, quality and team wellbeing across time zones.
  • Hold gate and go/no-go authority for the AI estate, and protect the integrity of evaluation decisions — ensuring that even where the same engineers both run and evaluate agents, quality judgments remain evidence-based and are not compromised by delivery pressure.
  • Own incident governance for the estate — severity standards, escalation, rollback and the contact-centre fallback for customer-impacting events — and represent major incidents and remediation to senior stakeholders.
  • Govern deployment and change discipline for agents and ML models (regression gating, rollback authority, change coordination) with the platform and Day 1 build teams.
  • Own the function’s service-level objectives, error-budget policy and KPIs (availability, proactive-detection rate, mean-time-to-resolve, model performance, cost) and report AI reliability and value to the Chief AI Officer and the board.
  • Set the growth and maturity roadmap for the function — scaling coverage, tooling and headcount as the AI estate grows.

Skills for Success:

  • Degree in Computer Science, Engineering, Data Science, or a related field
  • 10+ years in technology with experience leading production operations, SRE, or ML/AI functions
  • Experience leading teams, including remote or offshore / cross-border teams
  • Track record operating or governing ML/AI systems in production
  • AI/ML operations, reliability engineering and observability
  • Evaluation, gating and quality governance for AI
  • Understanding of both LLM/agent and traditional ML lifecycles and their failure modes
  • Incident management, service-level objectives and error budgets
  • People leadership across cultures, locations and time zones, with care for team wellbeing
  • The independence and integrity to protect quality and safety under pressure
  • Clear, decisive judgment under incomplete information and during incidents
  • Strong stakeholder management and executive communication
  • Telco consumer, enterprise (B2B) and network operations and their customer-impact considerations

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.

How we rate this

Associate Director, AI & Agent Operations #AIDA at Singtel rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

MLOpsAI OperationsModel EvaluationGenAIIncident Response

Questions you could be asked

  1. Tell me about a project where mlops was part of your work. What did you do?
  2. Tell me about a project where ai operations was part of your work. What did you do?
  3. Tell me about a project where model evaluation was part of your work. What did you do?
  4. Tell me about a project where genai was part of your work. What did you do?
  5. Tell me about a project where incident response was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: MLOps, AI Operations, Model Evaluation, GenAI, and Incident Response. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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