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Tech Stack
Tools & technologiesCloudJavaPythonSQL
About the role
Key responsibilities & impact- Work with business and technology stakeholders to identify, shape and prioritise AI use cases with clear business value
- 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
- Develop AI prototypes that demonstrate practical value
- Translate PoC learnings into clear recommendations for the Governance team
- Design solutions with production-readiness in mind
- Build AI-enabled services, APIs, workflows, prompts, retrieval pipelines
- Apply responsible AI practices
- Collaborate with architects and engineering teams to align PoC designs with CR2’s target architecture
- Work with Product Management, Business Analysts and Subject Matter Experts
- Document technical designs, assumptions, dependencies, evaluation results, risks and productionisation recommendations
- Monitor developments in AI tools, frameworks, models and cloud services
- Support knowledge sharing and enablement across teams
Requirements
What you’ll need- Honours Degree or Diploma in Computer Science, Software Engineering, Data Science, Artificial Intelligence, Machine Learning or a related discipline, or equivalent practical experience
- Strong software engineering background with experience designing, developing, testing and maintaining production-quality applications or services
- Practical experience building AI, machine learning, generative AI, automation or data-driven solutions in a commercial environment
- Strong programming capability, preferably in Python and/or Java
- Experience using multiple AI platforms, APIs, cloud AI services, vector search, retrieval augmented generation, prompt engineering, model evaluation and/or AI orchestration frameworks
- Good understanding of data preparation, data quality, data security, metadata, embeddings, search, classification, summarisation and information extraction techniques
- Ability to define measurable PoC success criteria and evaluate outcomes against business value, accuracy, quality, cost, performance and operational feasibility
- Understanding of secure software development practices, data protection, access control, auditability and responsible AI principles
- Experience working with APIs, JSON, SQL, Git, CI/CD tooling and modern development practices
- Ability to work effectively across technical and non-technical teams, translating business problems into practical AI solution designs
- Excellent communication skills
- High level of attention to detail, strong analytical ability and a practical, delivery-focused approach to solving problems.
Benefits
Comp & perks- Hybrid Working Model requires to be on-site three days per week in Dublin Office
- Collaboration with cross-functional teams
- Opportunities for knowledge sharing and enablement across teams
ATS Keywords
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Hard Skills & Tools
AIMachine LearningGenerative AIAutomationData EngineeringSoftware EngineeringProduction-Quality ApplicationsProgrammingData QualityData Security
Soft Skills
Excellent CommunicationAnalytical AbilityAttention to DetailProblem SolvingCollaboration
Certifications
Honours DegreeDiploma in Computer ScienceDiploma in Software EngineeringDiploma in Data ScienceDiploma in Artificial IntelligenceDiploma in Machine Learning