The AI Engineer will be a key contributor to Heineken's Global GenAI Lab in Singapore, designing, developing, and implementing end-to-end AI solutions that deliver measurable business impact across the organization. This role combines deep technical expertise in generative AI with strong software engineering skills to build scalable, production-ready systems. You will work as part of a fast-moving technical team with start-up agility within enterprise scale, experimenting with cutting-edge AI technologies while solving real-world business challenges through innovative GenAI applications. The ideal candidate is a versatile engineer who can adapt quickly, think creatively, and become a domain expert while collaborating effectively in a fast-paced, high-impact environment.   Key Responsibilities: AI Solution Development

• Design and develop GenAI models and applications from concept to production, including model selection, fine-tuning, and optimization for specific business use cases.
• Build end-to-end AI solutions that integrate seamlessly with existing enterprise systems and workflows.
• Implement sophisticated prompting strategies and language engineering techniques to maximize model performance and reliability.
• Create functional demonstration interfaces and prototypes using tools like Gradio, Streamlit, or custom web applications.
• Stay current with the latest developments in GenAI, including models from OpenAI, Google, Anthropic, and open-weight alternatives.

Software Engineering & API Development

• Build robust, scalable APIs and microservices that serve AI models in production environments.
• Develop containerized applications using Docker and orchestration platforms for reliable deployment.
• Create and maintain clean, well-documented code that follows best practices for enterprise software development.
• Implement proper error handling, logging, and monitoring for AI applications.
• Collaborate with cross-functional teams using agile development methodologies.

Data Pipeline Engineering

• Design and implement robust data pipelines for preparation, cleaning, and integration of diverse data sources.
• Handle enterprise data challenges including Excel files, PowerPoint presentations, and Office 365 integrations.
• Build ETL processes that ensure data quality and consistency for AI model training and inference.
• Implement data processing solutions that scale efficiently with growing data volumes.
• Develop data validation and monitoring systems to maintain pipeline reliability.

Enterprise Integration & Deployment

• Integrate AI solutions with existing business systems, databases, and enterprise applications.
• Navigate complex enterprise environments and work with legacy systems and data formats.
• Implement security best practices and ensure compliance with enterprise governance requirements.
• Manage model lifecycle including version control, A/B testing, and performance monitoring.
• Build solutions that handle enterprise-scale data processing and user loads.

Research & Innovation

• Experiment with emerging GenAI technologies, frameworks, and methodologies
• Conduct applied research to solve novel business problems using state-of-the-art AI techniques.
• Evaluate and benchmark different AI models and approaches for specific use cases.
• Contribute to the lab's knowledge base and share learnings across the team
• Participate in the broader AI community through conferences, publications, or open-source contributions.

Key Requirements: Education: Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or related technical field preferred. Strong consideration given to candidates with equivalent practical experience, professional certifications (including AI Singapore certifications), or demonstrated expertise through portfolio work and contributions to AI projects.