Senior Data & AI Solutions Architect — Cloud (Singapore)

GOOGLE ASIA PACIFIC PTE. LTD.; Singapore; On-site; SGD 210,000 - 270,000; Full time

Job summary

GOOGLE ASIA PACIFIC PTE. LTD. is seeking a senior Data/AI Architect to lead end-to-end design of data platforms and AI solutions on Google Cloud Platform. You will work directly with customers to translate challenges into scalable architectures and drive production readiness.

You will mentor engineers, promote rigorous governance and best practices, and stay ahead of industry trends in data, AI, and cloud-native systems to deliver impactful outcomes for enterprise clients.

Qualifications

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 10 years of experience in cloud computing, with a focus on data architecture, data analytics, and data engineering.
• Experience in programming/scripting languages (e.g., Python, Spark), and developing and deploying data solutions.
• Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.

Responsibilities

• Lead the design, development, and iterative refinement of data-centric and AI-powered solutions on Google Cloud Platform (GCP).
• Collaborate closely with customers to understand business challenges, requirements, and objectives, building trusted relationships.
• Mentor and guide junior team members, fostering a culture of innovation and learning.
• Establish and promote best practices for data-motivated solutions and contribute to industry thought leadership.

Skills

Cloud architecture

Data analytics

Python/Spark

Data engineering

Stakeholder collaboration

Education

Bachelor's degree in CS or related field

Tools

Google Cloud Platform

Cypher

RDF/OWL

Vector databases

LLM evaluation harnesses

Job description

GOOGLE ASIA PACIFIC PTE. LTD. is seeking a senior Data/AI Architect to lead end-to-end design of data platforms and AI solutions on Google Cloud Platform. You will work directly with customers to translate challenges into scalable architectures and drive production readiness.

You will mentor engineers, promote rigorous governance and best practices, and stay ahead of industry trends in data, AI, and cloud-native systems to deliver impactful outcomes for enterprise clients.