Google Cloud AI Architect

AVENSYS CONSULTING PTE. LTD.; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A global IT professional services company based in Singapore is seeking a Google Cloud AI Architect. This role involves designing and leading AI solutions on the Google Cloud Platform. The ideal candidate will have over 7 years of experience in cloud engineering, with 3–4 years specifically in GCP. Responsibilities include defining cloud architectures, guiding engineering teams, and ensuring compliance with security standards. Strong communication skills are essential in working with diverse stakeholders.

Qualifications

• 7+ years of experience in software or cloud engineering, including 3–4 years with GCP.
• Experience with infrastructure as code and leading multi-project GCP environments.
• Strong understanding of GCP networking, IAM, and enterprise integration patterns.

Responsibilities

• Design end-to-end AI solutions on Google Cloud Platform (GCP).
• Translate business requirements into technical roadmaps and solution designs.
• Guide full-stack engineers on implementation and integration patterns.

Skills

GCP architecture

Cloud-native architectures

AI/ML workloads

Communication skills

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

Terraform

CI/CD pipelines

Job description

Google Cloud AI Architect

Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success, we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail and supply chain.

We are currently looking to hire a Google Cloud AI Architect. This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.

Job Responsibilities

The Google Cloud AI Architect is responsible for designing and leading end‑to‑end solutions on Google Cloud Platform (GCP), from cloud foundation and security to data and AI services (for example, Gemini / Vertex AI), ensuring they are scalable, secure, and cost‑efficient. This role provides technical leadership to full‑stack engineers and partners with product and business stakeholders to deliver production‑grade AI solutions.

Key responsibilities

• Own overall GCP architecture including projects, networking, IAM, security, monitoring, and cost management.
• Design end‑to‑end AI solutions using Google services (for example, Vertex AI / Gemini, BigQuery, Document AI, Pub/Sub, Cloud Storage).
• Translate business and product requirements into technical roadmaps, reference architectures, and solution designs.
• Define standards and best practices for cloud, data, and AI workloads, including reliability, observability, and performance.
• Guide full‑stack engineers on implementation, integration patterns, and non‑functional requirements. Establish DevOps / MLOps practices: CI/CD, infrastructure as code, model deployment strategies, and environment management.
• Ensure compliance with security, privacy, and regulatory requirements, including data residency and access control.
• Review designs and code, perform architecture reviews, and provide mentorship to engineering team members.

Required qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
• 7+ years of experience in software or cloud engineering, including at least 3–4 years hands‑on with GCP.
• Strong experience designing cloud‑native architectures (microservices, APIs, event‑driven systems) on GCP.
• Hands‑on experience with AI/ML workloads on Google Cloud (for example, Gemini / Vertex AI, custom models, vector search, or document/vision/language APIs).
• Solid understanding of GCP networking, IAM, security, VPC design, and enterprise integration patterns.
• Experience with infrastructure as code (Terraform, Deployment Manager, etc.) and CI/CD pipelines.
• Excellent communication skills and ability to work with both technical and non‑technical stakeholders.

Preferred qualifications

• Google Cloud Professional Cloud Architect and/or Professional Machine Learning Engineer certifications.
• Experience leading multi‑project or multi‑tenant GCP environments in Production.
• Experience setting up or governing data platforms on GCP (BigQuery, Dataflow, Dataproc, Pub/Sub).

To submit your details, please apply online or send your updated CV at [e-mail].

CONSULTANT DETAILS

• Consultant Name: Khalid Farooq
• Avensys Consulting Pte Ltd
• EA Licence 12C5759
• Privacy Statement: Data collected will be used for recruitment purposes only. Personal data provided will be used strictly in accordance with the relevant data protection law and Avensys' personal information and privacy policy