AI Engineer building scalable applications using AI tools and guiding teams to adopt AI effectively. Innovating engineering culture and workflows in an established Fortune 500 company.
Responsibilities
Act as an internal influencer, creative problem solver, and AI advocate helping teams to maximise the value they derive from AI development tools from early exploration through to scalable deployment.
Partner with engineering and business teams to help them understand and use AI tools effectively.
Develop, evolve, and maintain Aflac’s AI usage methodology, including best practices, processes, and repeatable frameworks.
Translate emerging AI capabilities into practical, accessible guidance that teams can put into action.
Provide hands-on guidance in prompt design, workflow structuring, and AI supported engineering practices.
Bring ideas to life in a scalable, enterprise-ready manner that is user-focused.
Champion the responsible use of AI tools and practices across engineering teams.
Lead internal workshops, demos, and training sessions to build AI fluency and confidence.
Influence engineering culture by promoting responsible, efficient, and innovative AI usage.
Use AI to generate, refine, and optimize high quality code, across front-end, back-end, data and middleware layers.
Prompt AI to generate comprehensive test suites (unit, integration, end-to-end).
Configure and manage CI/CD pipelines using AI-generated scripts and infrastructure-as-code.
Generate accurate and complete documentation (API references, system diagrams, feature guides) by prompting AI to analyse codebases and architecture.
Define scalable, secure, and resilient architectures using AI-generated infrastructure templates and security policies.
Ensure compliance with enterprise standards and regulatory requirements.
Leverage AI-powered monitoring and diagnostics to detect, troubleshoot, and resolve production issues.
Requirements
Bachelor's degree in computer science, Software Engineering, or related field, or previous commercial experience
6 + years of industry experience in software engineering or application development
Experience with AI driven engineering tools and techniques e.g. Kiro (Amazon Q developer), Github Copilot, Claude Code, Cursor, Compound Engineering
Experience with agentic AI workflows and steering techniques for reliable automation
Ensure alignment with architectural patterns, coding standards, and performance
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