GenAI Solutions Architect & Data Engineer

Great Eastern; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Great Eastern seeks an experienced AI/GenAI Engineer to design and deploy scalable AI solutions across data pipelines and applications in a Singapore setting. You will collaborate with stakeholders to translate business needs into technical specs, build GenAI models, and deliver production-ready systems.

The role spans data engineering, cloud ML platforms, and full-stack development, focusing on robust, scalable GenAI implementations for diverse business use cases.

Qualifications

• Requirement Analysis & Solution Design.
• Collaborate with stakeholders to understand business needs, translate requirements into technical specifications, and architect GenAI solutions.
• Design and maintain efficient data pipelines for preprocessing, cleaning, and augmenting datasets.
• End-to-End GenAI Application Development including frontend and backend services.
• DevOps/MLOps: CI/CD, containerization (Docker, Kubernetes), and model monitoring tools (MLflow).
• Cloud Platforms: AWS, Azure, GCP with SageMaker/Vertex AI/Azure ML; IaC via Terraform/CloudFormation.
• Data Engineering: Experience with scalable data pipelines (ETL/ELT) using Spark, Airflow, Databricks.

Responsibilities

• Implement and deliver advanced data and AI solutions that drive innovation and enhance operational efficiency.
• Develop and deploy generative AI models (e.g., LLMs, GANs) on AWS.
• Deploy scalable GenAI solutions into production environments with robust reliability.
• Cross-functional collaboration with data scientists, software engineers, and business teams.
• Seamlessly integrate GenAI solutions into client infrastructure via APIs and microservices.
• Design, develop, and deploy user-facing applications powered by GenAI (frontend and backend).

Job description

Great Eastern seeks an experienced AI/GenAI Engineer to design and deploy scalable AI solutions across data pipelines and applications in a Singapore setting. You will collaborate with stakeholders to translate business needs into technical specs, build GenAI models, and deliver production-ready systems.

The role spans data engineering, cloud ML platforms, and full-stack development, focusing on robust, scalable GenAI implementations for diverse business use cases.