AI Engineer
CR2
Dublin, D, IE
Hybrid
2026-07-04
Estimated salary
~ €52,100 - €83,500
iampro estimate — the employer published no figure
Job description
**Job Purpose**
CR2 is a leading provider of Internet, Mobile, ATM and card payment solutions to the global financial services industry. We are looking for an AI Engineer to help identify, design, build and validate high\-value AI use cases that demonstrate measurable business benefit and can be safely transitioned into production where appropriate.
The role will work closely with Technology, Product, QA, Architecture, Business Analysts, Operations and other business stakeholders to turn practical business problems into working AI solutions. The successful candidate will combine strong software engineering capability with applied AI, data engineering, cloud, security and product thinking, ensuring that PoCs are not simply technical experiments but are assessed against clear success criteria, business value, operational feasibility and production\-readiness.
The role will report into the Technology organisation and will work closely with the AI Innovation \& Use Case Group, Engineering, Architecture, Product, QA and relevant business stakeholders.
Our Hybrid Working Model requires employees to be on\-site three days per week in Dublin Office.
**Key Responsibilities**
* Work with business and technology stakeholders to identify, shape and prioritise AI use cases with clear business value, measurable outcomes and appropriate success criteria.
* Design, build and iterate AI proof of concept solutions using modern AI, machine learning, generative AI, automation and data engineering techniques.
* Assist the Governance team assess the feasibility, value, risks and limitations of AI PoCs, including data availability, model suitability, integration complexity, operational impact, cost and scalability.
* Develop AI prototypes that demonstrate practical value, including requirements extraction, knowledge retrieval, software engineering assistance, test generation, process automation, analytics or other relevant business use cases.
* Translate PoC learning