Technology Excellence Engineer (AI)

Responsibilities:

1. Agile Project Execution & Support

·       Support Agile ceremonies (daily stand-ups, sprints, retrospectives) alongside the Scrum Master, manage Jira/Confluence artifacts (backlogs, task trackers, documentation), and ensure adherence to Agile delivery principles.

·       Collaborate with cross-functional teams to track task progress, identify and escalate risks/blockers, and contribute to the timely delivery of project milestones.

2. Intelligent Technology Development & Implementation

·       Design and implement scalable systems (automation workflows, predictive analytics modules, cloud pipelines) using open-source tools (e.g., Kubernetes, Dify, n8n), leveraging best practices for performance and scalability.

·       Ensure system security, compliance, and governance throughout the development lifecycle, adhering to internal protocols and industry standards.

3. Vendor & Procurement Coordination

·       Support vendor selection and procurement processes: contribute to business case development, conduct ROI analysis, and assist in managing RFP documentation and vendor engagements.

·       Collaborate closely with stakeholders to align technical solutions with business objectives, providing technical input and support throughout the vendor partnership lifecycle.

4. BAU Support & Compliance Management

·       Provide ongoing system support, troubleshoot complex technical issues, and lead the implementation of minor to moderate enhancements to improve system performance.

·       Oversee adherence to internal policies and regulatory standards, integrating compliance checks into daily technical operations.

5. Innovation & Continuous Learning

·       Research emerging technology trends (e.g., generative AI, LLMs, Agentic AI), pilot new tools and frameworks, and propose adoption strategies to enhance technical capabilities.

·       Promote a culture of learning by leading workshops, documenting technical processes, and facilitating team knowledge-sharing activities.

6. Project Communication & Stakeholder Alignment

·       Prepare and present project progress updates, technical roadmaps, and insights to stakeholders and business partners, ensuring clarity on technical outcomes.

·       Translate complex technical insights into actionable narratives that support business transformation goals and align stakeholders on technical direction.

7. Cross-Functional Collaboration & Execution

·       Collaborate with Project Management, Business Analysis, Development, and QA teams to contribute to end-to-end project delivery, spanning ideation to production.

·       Take ownership of technical tasks across the project lifecycle, ensuring alignment with team objectives and delivering high-quality results.

Requirements:

·       Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.

·       1+ year of experience in intelligent systems, AI-related technologies, technical development, or system implementation.

·       Hands-on experience with Agile project delivery and familiarity with Jira/Confluence is highly desirable.

·       Exposure to cloud-native technologies, automation tools, or data pipelines is an advantage.

·       Proficient in Python programming language and experienced with at least one major cloud platform (AWS/Azure/GCP).

·       Familiarity with containerization (Kubernetes) and CI/CD pipelines, with the ability to design and implement scalable infrastructure.

·       Experience with MLOps, data pipelines, and open-source automation tools (e.g., Dify, n8n, Airflow) is advantageous.

·       Strong understanding of system security, compliance, and governance best practices in technical development.

·       Self-driven learner with adaptability to evolving technology trends and a passion for innovation.

·       Strong communication and stakeholder engagement skills, with the ability to present technical concepts and strategies clearly.

·       Resilient and collaborative, thriving in fast-paced, iterative environments while maintaining attention to detail.

·       Proactive in identifying issues and proposing solutions, with a focus on delivering high-quality technical outcomes.

·       Agile (CSM/PSM), cloud, or AI/ML certifications are preferred but not required.

·       Fluency in English (written and spoken) and able to communicate technical information clearly to stakeholders.

·       Fluency in Cantonese is required.

·       Mandarin proficiency is a plus.

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***Permanent Hong Kong Resident is preferred. Expected Salary in CV is needed for consideration***

All information provided will be treated in strict confidence and used solely for recruitment purposes. The resume will be retained for a period of two years for future recruitment purposes within our group and clients.