AI Native Software Engineer: Scale AI & Enable Change

Aflac Northern Ireland; Belfast City District; On-site; GBP 90,000 - 130,000; Full time

Job summary

Aflac Northern Ireland is seeking an AI Native Software Engineer to help define how AI is used across the organisation. You will work across product, engineering and architecture to design, build and deploy software at pace, engineering the context and steering that enables AI models to deliver secure, scalable applications.

This role focuses on AI facilitation, responsible usage, and enabling engineering teams to adopt AI powered workflows.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering or related field.
• 5+ years of software engineering or application development experience.
• Experience with AI driven engineering tools (e.g., Kiro, GitHub Copilot, Claude Code, Cursor).
• Experience with agentic AI workflows and steering techniques for reliable automation.
• Strong OOP skills (e.g. Java, Python, C#).
• Experience with CI/CD pipelines and DevOps practices.
• Knowledge of cloud platforms (AWS, Azure or GCP).
• Candidates must be based in Northern Ireland with the relevant Right to Work visa.

Responsibilities

• Define how Aflac uses AI across the entire organisation.
• Lead AI facilitation and methodology development with engineering teams.
• Collaborate across product, engineering and architecture to deploy AI powered solutions.
• Build scalable, secure AI native software and platforms on AWS.
• Drive adoption and educate stakeholders on AI best practices.

Skills

OOP programming

CI/CD

Cloud platforms

AI tools

Communication skills

Education

Bachelor's degree in CS/SE or related field

Tools

Docker

Kubernetes

GitHub Copilot

Kiro (Amazon Q Developer)

Job description

Aflac Northern Ireland is seeking an AI Native Software Engineer to help define how AI is used across the organisation. You will work across product, engineering and architecture to design, build and deploy software at pace, engineering the context and steering that enables AI models to deliver secure, scalable applications.

This role focuses on AI facilitation, responsible usage, and enabling engineering teams to adopt AI powered workflows.