AI Workforce Automation, AI Forecasting and AI Chatbots designs tailor-made AI applications and infrastructure that help businesses achieve measurable results and competitive advantage. The team of AI specialists delivers bespoke solutions across domains such as machine learning, data analytics, digital transformation, and AI-driven business applications. MindHive’s work spans optimizing operations, improving customer experiences, and enabling organizations to harness data for strategic decision-making. As active thought leaders, the company regularly shares insights on emerging AI trends, keeping clients informed and prepared for the future of work.
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You have 7+ years of software engineering experience: At least 3 years building production AI systems. Not prototypes - systems that handle real traffic at scale.
You’ve shipped production AI: Not notebooks. Not demos. Systems that handle real traffic, break in unexpected ways, and teach you things papers didn't mention.
You operate across paradigms: You are comfortable with SQL and with prompt engineering. You pick the right tool, not your favourite tool.
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Create the AI Strategy - Figure out where AI can help the most. Translate company AI roadmap into actionable initiatives across short, medium, and long-term horizons.
Focus on high-value automation use cases (e.g. HR ops, finance ops, supply chain) that replace external spend and deliver immediate ROI.
Drive AI adoption in alignment with the overall digital transformation roadmap, working collaboratively with the Head of Digital Transformation.
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MAXIS Malaysia is seeking a seasoned Solution Architect to lead the design and adoption of Enterprise AI solutions across multiple industries in Malaysia. You will drive AI opportunities from discovery through architecture, proposals and technical leadership, aligning business goals with AI platforms and deployment models.
You will evangelize AI adoption, build use cases, and oversee governance, security and cost considerations.
Model & Prompt Engineering: Design, test, and iterate prompts that improve reasoning, factuality, and user experience.
Agentic AI Frameworks: Build, manage and orchestrate agentic workflows involving tool calling, reasoning loops, memory management, skills orchestration, and multi-step task execution.
AI Safety & Reliability: Implement guardrails, monitoring, and validation mechanisms to ensure AI systems remain safe, reliable, and ethically grounded.
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To perform AI solution assessment, and prepare Infra build-sheet, architecture submission, testing, pentest, performance test. SDLC documentation/approval and sign off.
To lead end to end environment setup (Non PROD/ PROD/ DR) with liaising within IT team and GIO team Work closely with PMO and business analyst to ensure business requirement was aligned Work closely with data engineering teams to ensure data quality and availability.
Work closely with other tech SME lead to ensure the system integration across other system (e.g. portal, data platforms and, others) Ensure robustness, scalability, and performance of deployed system.
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Lead and deliver innovative undergraduate and postgraduate courses in Artificial Intelligence and Cybersecurity.
Develop and supervise research projects in emerging areas such as Machine Learning, Deep Learning, Ethical AI, Cyber Defence, Threat Intelligence, and Cyber Resilience.
Conduct high-quality research and publish in reputable international journals and conferences.
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