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Jora Malaysia is seeking a Senior AI Developer to lead design, development, and deployment of AI-powered systems, including knowledge platforms and chatbots. You will guide cross-functional teams and architect scalable AI solutions aligned with business goals.
You will coordinate with PMO, data engineering, and IT teams to ensure data quality, system integration, and robust performance across enterprise environments, while upholding security and regulatory standards.
Jora Malaysia will close on 9th September 2026. Thank you for being with us, we are cheering you on as you continue your career journey.
We are seeking a highly skilled Senior AI Developer to drive the design, development, and deployment of AI-powered systems, including intelligent knowledge platforms and conversational agents (e.g., chatbots). This role will be responsible for leading cross-functional teams, architecting scalable AI solutions, ensuring smooth integration across enterprise systems, and aligning technology with business goals.
Key responsibilitiesPerform AI solution assessment, and prepare Infra build-sheet, architecture submission, testing, pentest, performance test, SDLC documentation/approval and sign off
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
Compliance and regulatory documentation such as RAI from AI council
About youBachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or related field
Minimum 5 years of experience in software engineering, with at least 3+ years in AI/ML systems or enterprise-scale solution architecture
Strong understanding of cloud platforms (Azure, AWS, or GCP) and containerized environments (Kubernetes, Docker)
Experience with data pipelines, APIs, and integration with enterprise systems
Knowledge of MLOps practices including model deployment, monitoring, and retraining
Familiarity with security, compliance, and regulatory frameworks for AI systems
Strong leadership, communication, and stakeholder management skills
Ability to balance strategic vision with hands-on technical execution