AI Lead

Ambition Singapore; Singapore; On-site; SGD 260,000 - 380,000; Full time

Job summary

Ambition Singapore seeks an accomplished AI leader to design and optimize enterprise-grade AI platforms for trading and financial content. You will guide architecture, data pipelines, model training, fine-tuning, and production deployment to deliver scalable, compliant AI solutions.

In this senior role you will mentor AI, data engineering, and compliance teams, partner with Product, Engineering, and Business stakeholders, and drive best practices in model evaluation, reliability, explainability,

Qualifications

• Bachelor's degree or higher in Computer Science, Artificial Intelligence, Engineering, Data Science, or a related discipline.
• 10+ years of experience across AI, ML, Data Science, or Data Engineering in production environments.
• Proven experience designing and deploying AI-powered applications and LLM-based solutions in production.
• Hands-on experience with open-source AI frameworks like PyTorch and Transformers.
• Experience with model fine-tuning, evaluation methodologies, and prompt engineering.
• Strong knowledge of recommendation systems, graph-based learning, and vector databases.
• Experience in regulated industries such as financial services, fintech, or capital markets is advantageous.
• Excellent communication and stakeholder leadership abilities.

Responsibilities

• Lead the development and optimization of AI solutions including LLMs, multimodal AI systems, and generative AI applications for trading and financial content.
• Design and implement personalization engines delivering content, insights, and recommendations based on user behavior.
• Develop scalable search and recommendation systems using embeddings, vector search, graph analytics, and behavioral modelling.
• Architect, build, and manage end-to-end AI/ML platforms covering data ingestion, feature engineering, model training, deployment, and lifecycle management.
• Establish model evaluation frameworks to improve accuracy, relevance, and user engagement.
• Design real-time data pipelines for high-volume market and user data to support low-latency AI apps.
• Own and enhance custom model fine-tuning workflows using open-source tooling.
• Ensure AI systems comply with regulatory, security, risk, and data governance standards.

Skills

Leadership

Mentorship

Cross-functional collaboration

Stakeholder influence

Communication

Regulatory compliance

Education

Bachelor's degree or higher in CS/AI/Engineering/Data Science

Tools

PyTorch

Transformers

LangChain/LlamaIndex

Job description

Key Responsibilities

AI Solution Design & Development

• Lead the development and optimization of advanced AI solutions, including large language models (LLMs), multimodal AI systems, and generative AI applications focused on trading and financial content.
• Design and implement intelligent personalization engines that deliver relevant content, insights, and recommendations based on user behavior and preferences.
• Develop scalable search and recommendation systems utilizing techniques such as graph analytics, embeddings, vector search, and behavioral modeling.

AI Platform Architecture & Engineering

• Architect, build, and manage end-to-end AI/ML platforms spanning data ingestion, feature engineering, model training, fine-tuning, deployment, monitoring, and lifecycle management.
• Establish robust model evaluation and experimentation frameworks to continuously improve accuracy, relevance, and user engagement.
• Design real-time data pipelines that process high-volume market, transactional, and user interaction data to support low-latency AI applications.
• Own and enhance custom model fine-tuning workflows using open-source AI frameworks and tooling.
• Ensure AI systems comply with regulatory, security, risk, and data governance requirements, including KYC, AML, privacy, and auditability standards.
• Drive best practices around model performance, reliability, explainability, and responsible AI implementation.

Leadership & Stakeholder Management

• Provide technical leadership, coaching, and mentorship to AI, data engineering, and machine learning teams.
• Partner closely with Product, Engineering, Data, Compliance, and Business stakeholders to transform business challenges into scalable AI solutions.
• Influence strategic decisions related to AI architecture, platform scalability, operational excellence, and cost optimization.

Required Experience & Qualifications

• Bachelor's degree or higher in Computer Science, Artificial Intelligence, Engineering, Data Science, or a related discipline.
• 10+ years of experience across AI, Machine Learning, Data Science, or Data Engineering, with extensive exposure to enterprise-scale production environments.
• Proven experience designing, deploying, and managing AI-powered applications and LLM-based solutions in production.
• Strong hands-on expertise with open-source AI frameworks, including:
• PyTorch
• Transformers
• LangChain/LlamaIndex (preferred)
• Deep knowledge of model fine-tuning, evaluation methodologies, prompt engineering, and optimization techniques.
• Strong experience building feature stores, large-scale data pipelines, and real-time machine learning systems.
• Solid understanding of recommendation systems, ranking algorithms, graph-based learning, vector databases, and user personalization techniques.
• Experience working within regulated industries such as financial services, banking, fintech, or capital markets would be highly advantageous.
• Strong communication skills with the ability to influence stakeholders and lead cross-functional initiatives.