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Lead AI Engineer – AI Strategy & Model Deployment

SpringCube

Full time - Manager

Insurance & InsurTech

Singapore ( Onsite )

Published 2 weeks ago

Salary: SGD10,000 - SGD15,000

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Lead AI Engineer – AI Strategy & Model Deployment

Company Overview
A global financial services company providing life and health insurance, asset management, and financial protection solutions. Focused on innovation, it leverages AI and data-driven strategies to enhance customer experience, optimize business growth, and develop scalable AI solutions.

Job Description
The Lead AI Engineer will drive AI strategy, oversee model deployment, and enhance AI governance. This role involves developing advanced ML and generative AI models, refining AI engineering standards, and leading chatbot development for customer engagement.

Responsibilities

  • Solve complex business challenges using ML, generative AI, and advanced analytics.
  • Analyze customer trends, campaign performance, and distribution channels to provide strategic insights.
  • Collaborate with business units to develop predictive models and AI solutions.
  • Define and enforce best practices for AI coding and engineering.
  • Oversee MLOps/LLMOps framework development to ensure ethical and scalable AI solutions.
  • Conduct code reviews to maintain quality and foster team development.
  • Design and implement chatbot solutions to improve customer engagement.
  • Ensure AI solutions align with governance frameworks, including Veritas Guidelines and Responsible AI principles.

Requirements

  • Master’s, PhD, or equivalent in Mathematics, Statistics, Computer Science, or related fields.
  • Extensive experience in developing and deploying AI/ML solutions using foundation models (GPT, Claude, Llama).
  • Expertise in Python, SQL, Git, Databricks, MLflow, and AI frameworks (TensorFlow, PyTorch, scikit-learn).
  • Strong knowledge of MLOps/LLMOps, AI governance frameworks (TRiSM, Responsible AI), and causal analysis.
  • Experience in transforming AI prototypes into production-grade solutions.
  • Proficiency in cloud platforms (Azure required; GCP/AWS advantageous).
  • Proven success in developing scalable chatbot solutions.
  • Prior experience in life insurance practices is a strong plus.

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.

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