AI Platform Engineer

Aflac is investing in a new generation of technology capability that will transform customer and employee experiences, scale the secure and responsible use of AI across the enterprise, and reshape how software is designed, built, tested and delivered. These roles will work across strategic product transformation, cloud and data platforms, enterprise AI services, context and knowledge engineering, quality, experience design and AI-enabled developer tooling. This is more than an opportunity to join an individual project: it is a chance to help build the platforms, practices and specialist capabilities that will turn AI into measurable business value at enterprise scale.

The Team

The AI Services team helps Aflac turn priority AI ideas into working products. The team tests what works, packages useful patterns, and helps other teams build on them.

You will work closely with Context Engineering, Solution Architects, Enterprise Architecture, Security, QA and Application Support.

The Role

As an AI Platform Engineer, you will help build the secure AWS-based platform that other Aflac teams use for AI products. You will take ideas from design into production and make sure the platform is reliable, easy to use and practical for real business work.

This is a hands-on engineering role. You will build services, improve quality, support teams that use the platform, and feed what you learn back into the roadmap.

This is an opportunity to:

• Build the platform other Aflac teams use for AI products
• Shape important engineering decisions while the capability is still being built
• Work hands on with modern AWS AI services in real delivery work
• Solve practical problems around reliability, quality and cost
• Create patterns other engineers can reuse
• Build something new and leave a lasting impact
• This role will help create the reusable platforms, engineering patterns and specialist services that enable teams across Aflac to build and scale AI solutions responsibly.

What you’ll be doing

The work falls into four areas: building the platform, making it reliable, applying it to real use cases and supporting it in production.

Below is an overview of the skills and experience we are looking for, but remember, don’t rule yourself out if you don’t have everything on the list. It’s your intellect and your attitude we are really after., * Bachelor’s degree in Computer Science, Software Engineering or a related field, or previous commercial experience

• 4+ years of industry experience in software engineering or application development
• Significant experience in a microservice driven Java role, with n-tier, database and client server design and development
• Strong understanding of AWS and experience building and deploying large scale, high traffic software solutions, including services such as ECS/Fargate, Lambda, API Gateway, Step Functions, CloudFormation and CloudWatch
• Experience with AWS AI services, particularly Amazon Bedrock
• Experience with Infrastructure as Code, CI/CD pipelines and DevOps as part of Agile software development
• Experience with AI driven engineering tools and techniques e.g. Kiro (Amazon Q Developer), GitHub Copilot, Claude Code, Cursor
• Ability to ensure alignment with architectural patterns, coding standards and performance
• Demonstrated ability to partner effectively with other teams including QA, Product, Architecture and Production Support
• Strong problem solving skills, with the judgement to know when a solution should become a platform capability
• Applicants must be permanently Northern Ireland and hold the relevant right to work status. We are unable to offer sponsorship

Desirable Criteria

• AWS certification or equivalent, including AI and machine learning certifications or Bedrock specific training
• Hands on experience with LLM applications, agent frameworks or orchestration tooling, e.g. Bedrock AgentCore, Strands, LangGraph or MCP
• Experience building or contributing to an internal developer platform or shared enterprise capability
• Experience with event driven architecture and messaging platforms (e.g. Kafka, AWS MSK)
• Familiarity with Python or TypeScript for services, scripting and automation
• Familiarity with security best practices and compliance standards in a regulated industry
• Experience working with US companies, building relationships with teams in other locations and delivering across time zones