Copilot & Viva AI Engineer at the Federal Reserve Bank designing and implementing IT engineering solutions. Collaborating with teams to deploy Microsoft Copilot and manage AI initiatives.
About the role
- 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
- Strong Object-Oriented Programming skills (e.g., Java, Python, C#)
- Experience with CI/CD pipelines and DevOps practices
- Knowledge of cloud platforms (AWS, Azure, or GCP)
- Strong problem-solving skills
- Excellent communication skills
- Candidates must be based in Northern Ireland with the relevant Right to Work Visa
- AWS certification or equivalent in cloud services (desirable)
- Familiarity with RAG architectures, embeddings, and context management strategies (desirable)
- Experience with containerization and orchestration (Docker, Kubernetes) (desirable)
- Proven experience with full-stack development (front-end, back-end, APIs, databases) (desirable)
- Familiarity with security best practices and compliance standards (desirable)
- Familiarity with automated testing frameworks and QA processes (desirable)
Benefits
- Aflac is an equal opportunities employer
Job title
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