Platform Architecture & Engineering (AI & OSS)

Menara Maxis; Kampung Paya; On-site; MYR 120,000 - 160,000; Full time

Job summary

MAXIS Malaysia is seeking a highly skilled AI & Digital Platform Engineer to join our dynamic technology team. This role involves architecting and deploying sophisticated AI solutions, including managing vector databases and implementing machine learning models for predictive analytics.

Qualified candidates should have strong proficiency in Python, experience with leading AI ecosystems, full-stack development skills using Java and React, and an understanding of microservices architecture. An exciting opportunity in Kuala Lumpur awaits.

Qualifications

• Strong proficiency in Python.
• Hands-on experience with Google Gemini AI and AWS AI/ML platforms.
• Experience with LLM frameworks like LangChain and building knowledge graphs.

Responsibilities

• Architect and deploy AI solutions using Google BigQuery.
• Develop machine learning models for anomaly detection.
• Lead the development of user interfaces using React.

Skills

Python

AI ecosystems

LLM frameworks

full-stack development

location-based services

microservices architecture

SQL

NoSQL

Linux

Tools

Google BigQuery

Java (Spring Boot)

React

Amazon Bedrock

Job description

Role Overview

We are looking for a highly skilled AI & Digital Platform Engineer to join our dynamic technology team.

Responsibilities

• Architect and deploy sophisticated agentic AI solutions using Google BigQuery, Agent Development Kits and modern LLM frameworks.
• Build and manage vector databases and knowledge graphs to power context‑aware AI agents.
• Develop and implement machine learning models for anomaly detection and predictive analytics.
• Leverage managed cloud AI services (e.g., AWS/GCP APIs) and in‑database tools like BigQuery ML to deliver practical, scalable insights without heavy MLOps infrastructure.
• Lead the development of highly responsive user interfaces using React, including integration of location‑based services and geospatial data.
• Engineer robust, high‑performance back‑end microservices using Java (Spring Boot).
• Design and implement secure RESTful APIs or GraphQL for seamless system integration.
• Architect and optimise data storage solutions using relational, cloud‑native and graph databases.
• Manage and scale platforms including Oracle, MySQL, Google BigQuery and graph database technologies such as Neo4j and Amazon Neptune.
• Configure and maintain Linux environments.
• Collaborate with IT security teams to define application firewall requirements.
• Manage application traffic securely with load balancers and proxy servers.
• Champion high standards of code quality and version control using GitHub, secure coding practices and peer code reviews.
• Work closely with stakeholders to understand business requirements and assist in provisioning cloud infrastructure (AWS, GCP, Azure) to host applications securely.

Qualifications

• Strong proficiency in Python.
• Hands‑on experience with leading enterprise AI ecosystems such as Google Gemini AI and AWS AI/ML platforms (e.g., Amazon Bedrock).
• Experience with LLM frameworks (LangChain, LlamaIndex), building vector databases/knowledge graphs, and integrating managed ML services or in‑database ML.
• Deep expertise in full‑stack development using Java (Spring Boot) and React.
• Proven experience building applications with location‑based services using the Google Maps Platform.
• Strong understanding of microservices architecture and API design.
• Extensive experience with SQL, NoSQL and graph databases.
• Proficiency with Oracle, MySQL, Google BigQuery and familiarity with graph technologies such as Neo4j.
• Strong proficiency in Linux administration.
• Solid understanding of corporate firewall requirements, load balancing architectures, proxy servers and general network security protocols.
• Solid understanding of application security (e.g., OWASP Top 10) and experience implementing identity and access management protocols such as OAuth2.0, OpenIDConnect and JWT.

Preferred Qualifications

• Experience with general cloud infrastructure on AWS, GCP or Azure.
• Familiarity with containerisation (Docker, Kubernetes), Infrastructure as Code (Terraform) and building CI/CD pipelines (GitHub Actions).
• Ability to elicit business requirements, define project scopes and apply Agile/Scrum methodologies to drive technical initiatives.
• Solid understanding of telecommunication networks, including mobile 4G/5G and fibre optic technologies.
• Familiarity with telecommunications or enterprise OSS, including network management, fault monitoring, performance management and service provisioning.

Personal Attributes

• Excellent analytical and problem‑solving skills.
• Strong communication skills, capable of translating complex technical concepts to non‑technical stakeholders.
• A collaborative team player who fully embraces Agile Ways of Working (WoW) to deliver iterative, high‑quality results.
• A continuous learner who stays updated with the latest advancements in AI, software engineering and infrastructure security.

Equal Employment Opportunity Statement

Maxis values diverse voices & people. We hire and reward our employees based on capability & performance—regardless of ethnicity, gender, age, education, religion, nationality or physical ability.