AI & Software Manager

Team leadership & growth Lead, coach and evaluate a multidisciplinary team of AI engineers and software developers, running regular 1:1s and structured feedback cycles to raise capability. Allocate work, set clear performance goals and mentor engineers on design, testing and deployment best practices. Recruit and develop talent by defining role expectations, interviewing candidates and creating training plans for technical growth. Champion inclusive team culture and cross-functional collaboration to keep delivery moving and knowledge shared. Delivery, architecture & quality Own end-to-end delivery from requirements and architecture to testing, release and post-release support for enterprise software. Define and enforce coding standards, API contracts, automated testing and CI/CD so releases are reliable and repeatable. Design and review scalable application architectures, data pipelines and integration points for mixed cloud and on-prem deployments. Manage project schedules, technical risks and resource allocation while reporting clear, measurable milestones to stakeholders. AI integration & operational resilience Lead AI and ML efforts including model selection, evaluation, integration and production monitoring for NLP, ML and Generative AI use cases. Establish observability, model performance checks and alerting to maintain reliable inference in production. Ensure secure development practices, access controls and data handling that align with Malaysian data protection expectations. Run proofs of concept with customers and vendors, then move validated solutions into production with clear rollback and support plans. Qualifications & Experience Minimum 10 years of relevant industry experience across software development, data analytics or AI engineering. At least 3 years of direct technical team leadership with responsibility for mentoring, work allocation and delivery outcomes. Proven track record delivering commercial or enterprise software into production; be ready to explain your role and project outcomes. Bachelor's degree in Computer Science, AI, Software Engineering, Data Science, IT or a related discipline. Fluent in English and Bahasa Malaysia, spoken and written. Hard Skills & Knowledge Programming: strong hands-on Python, working knowledge of JavaScript or TypeScript and familiarity with Java or C++. AI & data stack: Machine Learning, NLP, LLMs and Generative AI with experience in PyTorch or TensorFlow, Hugging Face, scikit-learn, Pandas and NumPy. Application & infra: REST APIs, backend frameworks such as FastAPI or Flask, familiarity with React or Next.js, SQL and PostgreSQL, plus exposure to Supabase or Firebase. Engineering tools & deployment: Git, Linux, Docker, automated testing and CI/CD practices, with practical experience releasing and monitoring in cloud, on-premises or hybrid environments. Soft Skills & Qualities Strong software architecture, troubleshooting, estimation and project coordination skills for enterprise contexts. Clear stakeholder communication ability to translate business needs into technical specs and measurable roadmaps. Practical, customer-focused mindset with experience running proofs of concept and representing engineering progress to management. Familiarity with secure coding, API security and data governance practices relevant to Malaysian personal data protection requirements. Added advantages Experience with MLOps, RAG, vector databases, AI agents, LLM fine-tuning or model serving and GPU inference optimisation. Hands-on with AWS, Azure or Google Cloud, Kubernetes, Kubernetes-based deployments, Computer Vision or OpenCV, and embedded systems or IoT integration. Prior delivery of AI, cybersecurity or enterprise solutions for Malaysian public sector or large enterprise customers.