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Location
In office (Malaysia)
Seniority
Architect
Employment
Full-Time
Overview
Company
Impact
Profile match
Maxis is one of Malaysia's largest mobile operators and a major provider of fibre broadband and enterprise connectivity. It sells converged consumer packages alongside cloud, internet of things and managed ICT services for business. The company is listed on Bursa Malaysia and operates a nationwide network.

Are you ready to get ahead in your career?

  • We want to empower you to turn your ambitions into achievements.
  • We thrive in inclusiveness, diversity and embrace close collaborations for you to create impact for yourself and others.
  • Together, we aim to bring the best of technology to help people, businesses and the nation to be ahead in a changing world.
  • To realise our vision to become Malaysia’s leading converged solutions company, we are looking for a new talent to innovate and grow with us in a culture that values commitment, performance and possibilities.

Why does this job exist and why is it critical?

We are looking for an experienced Solution Architect to join our Enterprise Practice to lead the design, positioning and adoption of Enterprise AI solutions.

The role is responsible for driving complex AI opportunities from customer engagement through solution design, architecture, proposal development and technical leadership.

  • Drive AI business transformation, not just technology implementation.
  • Evangelize AI adoption with customers and internal teams.
  • Build industry-specific AI use cases (financial services, healthcare, manufacturing, public sector, etc.).
  • Position AI platforms commercially alongside cloud infrastructure.
  • Understand AI economics, including GPU sizing, token consumption, inference costs, and ROI/TCO analysis.
  • Work with both proprietary models (Gemini, GPT, Claude) and open-weight models (Llama, Qwen, Mistral, DeepSeek), selecting the right model based on business, cost, sovereignty, and performance requirements.

This role requires a strong understanding of Enterprise AI architecture including Agentic AI, Generative AI, Large Language Models (LLMs), AI Platforms, GPU-as-a-Service (GPUaaS), Model Serving, Tokenization, Retrieval Augmented Generation (RAG), AI Security and Google Cloud Platform (GCP).

The candidate should be comfortable in conducting AI discovery workshops, building business use cases and leading enterprise AI transformation initiatives.

Responsibilities

  • Design enterprise-grade AI solution architectures for customers across multiple industries.
  • Translate business challenges into practical AI use cases and implementation roadmaps.
  • Design scalable AI platforms supporting GenAI, Agentic AI and enterprise AI workloads.
  • Architect AI solutions utilizing LLMs, RAG, vector databases, orchestration frameworks, Model Context Protocol (MCP), AI Agents and enterprise integrations.
  • Design hybrid AI architectures combining on-premise infrastructure, private cloud and public cloud.
  • Lead AI discovery workshops with enterprise customers.
  • Identify high-value AI opportunities and prioritize business use cases.
  • Conduct AI maturity assessments and AI strategy sessions.
  • Develop solution proposals, architecture documents, presentations and technical responses for RFP/RFQ/Tender submissions.
  • Present AI solution architecture to executive management, technical teams and business stakeholders.
  • Demonstrate AI solutions, proof-of-concepts (PoC) and minimum viable products (MVPs).
  • Design solutions involving:
  • Enterprise and Public Cloud AI Platforms
  • GPU-as-a-Service (GPUaaS)
  • AI Model Serving Platforms
  • Kubernetes and Container platforms
  • AI observability and monitoring
  • Understand model governance and AI compliance.
  • Architect tokenization and sensitive data protection strategies.
  • Recommend AI guardrails and Responsible AI practices.
  • Understand prompt security, data leakage prevention and AI risk management.
  • Evaluate new AI vendors, models and platforms.
  • Work closely with Public Cloud and AI ecosystem partners.
  • Contribute to internal AI best practices, reusable architectures and solution accelerators

What’s next?

  • Once you’ve applied online, our team will carefully review your application. Due to a high volume of applications, we appreciate your patience to allow for a fair and timely review process.
  • Should you be shortlisted for the role, we will send you an invitation via email for a digital interview. You can also check on your application status by logging into your candidate account.

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.

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