Google Cloud AI Architect

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 endtoend 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 costefficient. This role provides technical leadership to fullstack engineers and partners with product and business stakeholders to deliver productiongrade AI solutions.

Key responsibilities:

Own overall GCP architecture including projects, networking, IAM, security, monitoring, and cost

endtoend 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

fullstack engineers on implementation, integration patterns, and nonfunctional 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

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 handson with GCP.

Strong experience designing cloudnative architectures (microservices, APIs, eventdriven systems) on GCP.

Handson 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 nontechnical stakeholders.

Preferred Google Cloud Professional Cloud Architect and/or Professional Machine Learning Engineer certifications.

Experience leading multiproject or multitenant 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 [Confidential Information].

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