AI Lead

MAKER LAB PTE. LTD.; Singapore; On-site; SGD 180,000 - 320,000; Full time

Job summary

Maker Lab PTE. LTD. seeks an AI Lead to drive production-grade Applied AI, Generative AI, and Agentic Decision Intelligence across JAPAC. You will own architecture, incubation, and scalable deployment, partnering with C-suite stakeholders to translate bottlenecks into high-ROI AI initiatives.

You will shape enterprise-grade standards, guide HITL platforms, and mentor data scientists while balancing people-first principles with rapid innovation.

Qualifications

• Master’s degree in Computer Science, Data Science, AI, Statistics, or equivalent.
• 12+ years of experience across Data Science, BI Transformation, and Enterprise AI Strategy, with 5+ years in JAPAC.
• Proven production delivery of GenAI/LLM pipelines, multi-agent frameworks, or decision intelligence platforms.
• Experience advising senior regional leadership (VP/Director) and shaping GTM roadmaps.
• Strong Python, SQL, BigQuery, ML libraries, and cloud ecosystem expertise.
• Experience with GenAI, RAG, prompt orchestration, and Gemini Pro ecosystem preferred.
• Certifications in Google Cloud PMLE or Generative AI leadership preferred.

Responsibilities

• Lead AI incubation and 0-to-1 architecture for Agentic AI workflows and HITL platforms.
• Partner with regional executives to translate bottlenecks into AI, ML, and BI initiatives.
• Oversee multi-stage predictive systems to move GTM from reporting to prescriptive targeting.
• Set enterprise-grade standards for LLM observability, model evaluation, and data lineage.
• Manage intake, prioritisation, and sprint velocity of experimental AI projects; mentor teams.

Skills

AI Leadership

GenAI

MLOps

Strategic Planning

Executive Advisory

Cloud (GCP)

Python

BigQuery

Data Science

Education

Master’s degree in Computer Science or quantitative discipline

Tools

XGBoost

TensorFlow

scikit-learn

Looker Studio

Power BI

Salesforce

SAP

Job description

Maker Lab is looking for an AI Lead to serve as the regional catalyst and architectural owner for production-grade Applied AI, Generative AI, and Agentic Decision Intelligence across six JAPAC sub-regions. Working within the intersection of Strategy & Operations and Enterprise Technology teams, we’re looking for a builder who can drive the 0-to-1 incubation and 1-to-N enterprise scaling of intelligent systems that eliminate analytical latency and orchestrate autonomous revenue intelligence for our embedded teams and clients.

As an in-housing agency, people are a large part of our organisation, and we’re looking for someone who can balance our people-first principles with innovation, guiding mission-critical commercial decisions for executive leadership and ensuring our clients and teams can work effectively and efficiently to drive better results.

• AI Incubation & 0-to-1 Architecture: Lead the charter, design, and prototyping of cutting-edge Agentic AI workflows, Human-in-the-Loop (HITL) platforms (e.g., Gemini-powered automated reporting), and autonomous decision engines from concept validation to scalable enterprise deployment.

• Executive Advisory & Problem Scoping: Partner directly with regional C-suite and VP-level stakeholders across 350K+ accounts to translate ambiguous commercial bottlenecks into high-ROI AI, machine learning, and BI transformation initiatives.

• Revenue & Predictive Intelligence: Oversee the architecture of multi-stage predictive systems (XGBoost propensity frameworks, self-tuning scenario models, and BigQuery outlier detection logic) that shift enterprise GTM motions from reactive reporting to prescriptive targeting.

• AI Engineering, Governance & Scalability: Establish enterprise-grade standards for LLM observability, model evaluation (AUROC, SHAP interpretability), automated data lineage, and ethical AI governance to guarantee single-source-of-truth reliability across all distributed decision engines.

• Incubator Operations & Ecosystem Acceleration: Manage the intake, prioritisation, and sprint velocity of experimental AI initiatives; mentor senior data scientists and ML engineers while driving AI literacy across cross-functional commercial teams.

You:

• 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, with 5+ years driving regional programs across JAPAC.

• Production AI Delivery: Demonstrated track record in architecting and deploying GenAI/LLM pipelines, multi-agent frameworks, or automated decision intelligence platforms into enterprise production.

• Executive Influence: Proven success acting as a trusted advisor to senior regional leadership (VP/Director level), shaping operational OKRs and multi-year GTM roadmaps.

• Cloud & Technical Stack: Advanced proficiency in Python, SQL, Cloud Data Warehousing (BigQuery), Machine Learning libraries (XGBoost, Scikit-Learn, TensorFlow), and Cloud ecosystems (GCP).

• GenAI & Agentic Systems (Preferred): LLM fine-tuning, RAG frameworks, prompt orchestration, Agentic tool-use, Gemini Pro ecosystem.

• Decision Modelling & Architecture (Preferred): Dynamic scenario planning engines, econometric forecasting, Winsorized trend analysis, SHAP explainability, Data Vault 2.0, multi-source CRM/ERP integration (Salesforce, SAP), BI platforms (Looker Studio, Power BI).

• Certifications (Preferred): Google Cloud Professional Machine Learning Engineer (PMLE) or Google Cloud Generative AI Leader.