Responsibilities:
Agile Project Leadership

Act as Scrum Master: Facilitate Agile ceremonies, manage backlogs, and ensure delivery using Jira/Confluence
Lead cross-functional teams, manage risks, and ensure timely delivery

Intelligent Technology Development

Design and implement scalable systems such as automation, predictive analytics, and cloud pipelines using open-source tools (e.g., Kubernetes, Dify, n8n)
Ensure system security, compliance, and governance across the development lifecycle

Vendor & Procurement Leadership

Lead vendor selection and procurement: develop business cases, conduct ROI analysis, and manage RFP processes
Collaborate with stakeholders to align technical solutions with business objectives

BAU Support & Compliance Management

Provide ongoing system support, troubleshoot issues, and implement enhancements
PEnsure compliance with internal policies and regulatory standards

Innovation & Continuous Learning

Research emerging technology trends (e.g., generative AI, LLMs, Agentic AI); pilot new tools and frameworks
Promote a culture of learning through workshops, documentation, and knowledge sharing

Project Strategy Presentation

Present project strategies, roadmaps, and progress updates to senior stakeholders and business partners
Translate technical insights into strategic narratives that support business transformation goals

Cross-Functional Execution

PTake on responsibilities across Project Management, Business Analysis, Development, and QA
Lead full-cycle delivery from ideation to production

Requirements:
Experience:
1+ year of experience in intelligent systems or AI-related technologies (for Engineer role).

10+ years of experience in technical development, system architecture, and troubleshooting (for Technical Lead role)

Technical Skills:
Proficient in Python, cloud platforms (AWS/Azure/GCP), containerization (Kubernetes), and CI/CD pipelines

Experience with MLOps, data pipelines, and scalable infrastructure design

Knowledge of open-source automation tools (e.g., Dify, n8n, Airflow) is advantageous

Mindset & Soft Skills:
Self-driven learner with adaptability to evolving technology trends

Strong communication and stakeholder engagement skills, including the ability to present and articulate project strategies

Resilient and collaborative in fast-paced, iterative environments

Education/Certifications:
Bachelor’s degree in Computer Science, Engineering, or related field

Agile (CSM/PSM), cloud, or AI/ML certifications preferred

Language:
Fluency in English and Cantonese

Mandarin is a plus