(Senior) System Analyst, AI Transformation

HKT

Hong Kong

On-site

HKD 1,200,000 - 1,800,000

Full time

2 days ago
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Job summary

HKT is seeking an experienced AI-enabled software leader to guide offshore teams in designing high-performance, secure solutions for business applications.

You will define AI strategies, mentor engineers, promote vibe coding, and integrate DevSecOps across the SDLC while collaborating with stakeholders to deliver iterative AI projects.

Qualifications

  • Bachelor’s degree or above in a relevant field.
  • 4+ years of hands-on experience in system design and AI integration.
  • Proficiency in Python, NodeJS and React with knowledge of Java Spring Boot and Spring Cloud.

Responsibilities

  • Lead offshore development teams (2-3 per team) on AI-enabled software projects.
  • Collaborate with stakeholders to define AI strategies and best prompt engineering practices.
  • Promote vibe coding and AI-assisted development methodologies across projects.
  • Mentor teams in secure development practices and ensure alignment with organizational objectives.
  • Drive Agile adoption for AI-focused initiatives and oversee iterative delivery.
  • Ensure security is integrated throughout the SDLC from requirements to deployment.
  • Oversee functional tests (vulnerability, load, stress, performance) with tools like k6.
  • Balance hands-on delivery with leadership to meet deadlines.

Skills

Python
NodeJS
React
Java Spring Boot
Spring Cloud
Prompt engineering
AI integration
Agile
Leadership
DevSecOps

Education

Bachelor’s degree

Tools

RooCode
Cline
Cursor
WindSurf
GitHub Copilot
k6

Job description

  • Lead and work with offshore development team (2-3 per team) in developing and deploying AI-enhanced software solutions, ensuring high performance, reliability, and security on business-oriented solution and system design.
  • Collaborate with stakeholders to define AI strategies and implement prompt engineering best practices for optimizing AI model outputs.
  • Foster a culture of innovation through vibe coding and other AI-assisted development methodologies.
  • Mentor and guide teams in adopting new AI technologies and secure development practices, ensuring alignment with organizational objectives.
  • Drive the adoption of Agile methodologies for AI-focused projects, ensuring iterative delivery and continuous improvement.
  • Ensure security is integrated throughout the SDLC, from requirements gathering to deployment and maintenance.
  • Handle and understand all functional test arrangements: such as vulnerability test, load test, stress test, performance test with k6 or similar approach
  • Take an active, hands-on role in project delivery, balancing strategic oversight with technical contributions to overcome challenges and meet deadlines.
To Succeed in this Role
  • Bachelor’s degree or above
  • 4+ years of hands-on experience in system design and architecture, with a focus on AI integration and agentic solutions.
  • Proficiency in Python, NodeJS and React, with experience in building AI-driven applications, knowledge of Java Spring Boot, and Spring Cloud will also be considered
  • Expertise in prompt engineering to optimize AI model performance and ensure accurate, contextually relevant outputs.
  • Familiarity with AI tools and frameworks, such as Model Context Protocol (MCP), Agentic Frameworks, AI Safety Framework, to ensure responsible AI deployment would be an advantage.
  • Experience with vibe coding practices in both frontend and backend knowledge, utilizing AI assistants (e.g., RooCode, Cline, Cursor, WindSurf, GitHub Copilot) for rapid prototyping and development on full SDLC.
  • Strong understanding of cloud platforms (AWS, Azure, GCP) for scalable solution deployment.
  • Deep knowledge and hands-on SDLC processes, with a particular emphasis on integrating security throughout the lifecycle (DevSecOps).
  • Ability to lead projects with a hands-on approach, balancing managerial responsibilities with technical contributions to ensure successful delivery.
  • Knowledge of security standards and best practices, such as OWASP, ISO 27001, or ISO 42001, and experience applying them in software development.
  • Team leadership skills to manage and mentor diverse team members in adopting new AI technologies and secure practices.
  • Strong communication skills to articulate technical concepts, AI strategies, and security requirements to both technical and non-technical stakeholders.
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