Architect - AI Engineering

Architect - AI Engineering

When our customers are looking for IT consulting expertise, where else would they turn but to the company driving human progress through technology? Our Solutions Architecture team within Professional Services are experts in package customization and integration as well as total, end-to-end solutions in targeted industry segments. After thorough consultation with our customers and careful analysis, we develop new IT systems or replace existing systems that support customers’ strategic, operational and financial goals.

Join us to do the best work of your career and make a profound social impact as an Architect - AI Engineering on our Solutions Architecture Team in Singapore.

What you’ll achieve

We are looking for a motivated and curious Architect – AI Engineering to join our AI Innovation Hub team. You will work under the guidance of senior architects and engineers to help design, develop, and maintain AI-driven applications and infrastructure. This is an excellent opportunity to grow your skills in machine learning, data engineering, and scalable AI systems while contributing to impactful projects. 

You Will: 

• Assist in building and maintaining data pipelines, machine learning models, and AI services. 

• Support the implementation and testing of model deployment workflows and APIs. 

• Collaborate with data scientists on software engineers on AI Platform solutioning. 

• Follow security, privacy, and compliance guidelines in all AI engineering tasks. 

• Contribute to the continuous improvement of AI engineering practices and processes. 

Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:

Essential Requirements

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent practical experience). 

• Familiarity with AI/ML frameworks (e.g., HuggingFace, LlamaIndex, Langchain, TensorFlow, PyTorch, scikit-learn). 

• Exposure to cloud platforms (e.g., AWS, GCP, Azure) and container tools (e.g., Docker and Kubernetes). 

• Experience with programming languages such as Python or Java. 

Desired Requirements

• Experience with Jupyter notebooks, version control (Git), or data visualization tools. 

• Familiarity with MLOps concepts or tools (e.g., MLflow, Airflow, SageMaker). 

• Knowledge of foundational machine learning concepts and algorithms.