AI Lead – Insights

Maker Lab

. Lead the charter, design, and prototyping of Agentic AI workflows, Human-in-the-Loop platforms, and autonomous decision engines from concept validation through scalable enterprise deployment .

Posted 10/12/2026full-timeSingapore • SingaporeSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and deploying Generative AI and LLM pipelines, with a strong focus on AI governance, model evaluation, and cross-functional collaboration. Proven ability to drive AI literacy and mentor teams while translating complex commercial challenges into high-impact AI solutions.

Highest-signal resume keywords

Generative AI/LLM Pipeline ArchitectureAI Governance and Model EvaluationPython and SQL ProficiencyBigQuery and XGBoost ExperienceGoogle Cloud Professional Machine Learning Engineer Certification

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceBusiness Intelligence TransformationEnterprise AI StrategyMachine LearningPredictive SystemsLLM Fine-TuningEconometric ForecastingDynamic Scenario PlanningAutomated Decision IntelligenceSHAP Explainability

Soft Skills

MentoringStakeholder ManagementCross-Functional CollaborationTrusted Advisor

Tools & Technologies

BigQueryTensorFlowScikit-LearnSalesforceSAPLooker StudioPower BIAgentic Tool-UseGemini Pro Ecosystem

Certifications & Qualifications

Google Cloud Professional Machine Learning EngineerGoogle Cloud Generative AI Leader

Industry Keywords

AI WorkflowsHuman-in-the-Loop PlatformsAutonomous Decision EnginesJAPAC ProgramsData Vault 2.0

Tech Stack

Tools & technologies

BigQueryCloudGoogle Cloud PlatformPythonScikit-LearnSQLTensorflowVault

About the role

Key responsibilities & impact

Lead the charter, design, and prototyping of Agentic AI workflows, Human-in-the-Loop platforms, and autonomous decision engines from concept validation through scalable enterprise deployment
Partner with regional C-suite and VP-level stakeholders across 350K+ accounts to translate commercial bottlenecks into high-ROI AI, machine learning, and BI transformation initiatives
Oversee multi-stage predictive systems including XGBoost propensity frameworks, self-tuning scenario models, and BigQuery outlier detection logic
Establish standards for LLM observability, model evaluation, automated data lineage, and ethical AI governance
Manage intake, prioritisation, and sprint velocity of experimental AI initiatives
Mentor senior data scientists and ML engineers and drive AI literacy across cross-functional commercial teams

Requirements

What you’ll need

Master’s degree in Computer Science, Data Science, Artificial Intelligence, Statistics, or an equivalent quantitative discipline
12+ years of combined experience across Data Science, BI Transformation, and Enterprise AI Strategy
5+ years driving regional programs across JAPAC
Demonstrated track record architecting and deploying GenAI/LLM pipelines, multi-agent frameworks, or automated decision intelligence platforms into enterprise production
Proven success acting as a trusted advisor to senior regional leadership at VP/Director level
Advanced proficiency in Python, SQL, BigQuery, XGBoost, Scikit-Learn, TensorFlow, and GCP
Experience with LLM fine-tuning, RAG frameworks, prompt orchestration, Agentic tool-use, and Gemini Pro ecosystem (preferred)
Experience with dynamic scenario planning engines, econometric forecasting, Winsorized trend analysis, SHAP explainability, Data Vault 2.0, Salesforce, SAP, Looker Studio, and Power BI (preferred)
Google Cloud Professional Machine Learning Engineer or Google Cloud Generative AI Leader certification (preferred)