Agentic AI Specialist (Fintech)

• Drive enterprise adoption of GitHub Copilot, Copilot Chat, and next-gen agentic AI tools that support refactoring, documentation, code review, and complex workflows
• Define best practices for agent orchestration-covering prompting standards, goal assignment, validation, and fallback strategies
• Establish AI usage policies, secure defaults, and governance frameworks, particularly for semi- or fully autonomous agents in development environments
• Collaborate with security and governance teams to identify and mitigate risks around agentic behavior, data sensitivity, and unauthorized actions
• Design and maintain an AI Integration Framework to embed AI across developer workflows (GitHub, Jira, IDEs, testing, CI/CD pipelines)
• Partner with DevOps/DevSecOps to enable AI in CI/CD-e.g., automated test generation, impact analysis, and change intelligence
• Ensure safe agent operation in toolchains via version control, sandboxing, human-in-the-loop approvals, and monitoring mechanisms
• Assess AI's impact on productivity and code quality using telemetry, surveys, and developer feedback
• Track KPIs such as PR cycle time, AI code reuse, adoption vs. rejection of suggestions, and post-release error rates
• Enhance code consistency and coverage with AI-driven linters, analyzers, and automated refactoring
• Develop onboarding guides, playbooks, and live workshops to help developers collaborate effectively with agentic tools
• Build a practice community around AI-enabled development, fostering champions, feedback loops, and knowledge sharing
• Work with DevRel and HR to frame AI adoption as an opportunity for upskilling rather than replacement
• Define AI usage guidelines for both modern (TypeScript, Python, Java, Go) and legacy stacks (Java 8, .NET Framework, COBOL)
• Recommend AI-assisted approaches for documentation, test generation, code search, and migration in older systems
• Implement feedback loops and retraining to continuously improve agent performance
• Maintain transparency by logging agent actions for auditing, reproducibility, and incident response
• Align adoption with ethical AI principles, governance models, and responsible use standards
• Coordinate with platform and compliance teams on data residency, PII handling, and model control in agent-enabled environments

• A degree in Computer Science, Data Science, or a related field.
• Min. 5 years of experience in software engineering, platform engineering, or developer productivity enablement
• Hands-on experience with GitHub Copilot and at least one agentic AI platform or intelligent coding assistant
• Proficient with modern IDEs, CI/CD pipelines, Jira/testing platforms, and DevSecOps tools
• Solid knowledge of secure development practices, the software development lifecycle (SDLC), and enterprise compliance environments
• Strong interest in human-AI collaboration, developer productivity, and responsible AI adoption

• Familiarity with agent orchestration frameworks such as AutoGen, CrewAI, or LangChain
• Certifications in AI/ML or Responsible AI practices
• Experience using developer analytics platforms (e.g., LinearB, DXPR, GitHub Insights)
• Knowledge of advanced prompting methods and prompt engineering frameworks

• Competitive salary ranging from MYR 180000 to MYR 216000 annually
• Opportunities to work on cutting-edge AI projects in the financial services sector
• Collaborative and technology-driven work environment in Kuala Lumpur
• Potential for career growth within a large organization

Michael Page