AI Engineer

• 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

• 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.

Core Competencies

Demonstrates expertise in designing and developing AI solutions, including machine learning and generative AI, while ensuring production-readiness and adherence to responsible AI practices. Capable of collaborating across teams to translate business needs into effective AI prototypes and solutions.

Highest-signal resume keywords

• AI Solution Design
• Machine Learning Development
• Python Programming
• API Development
• Data Preparation Techniques

ATS Optimization Keywords

Hard Skills

• AI
• Machine Learning
• Generative AI
• Automation
• Data Engineering
• Software Engineering
• Production-Quality Applications
• Programming
• Data Quality
• Data Security

Soft Skills

• Excellent Communication
• Analytical Ability
• Attention to Detail
• Problem Solving
• Collaboration

Certifications & Qualifications

• Honours Degree
• Diploma in Computer Science
• Diploma in Software Engineering
• Diploma in Data Science
• Diploma in Artificial Intelligence
• Diploma in Machine Learning

Industry Keywords

• Proof of Concept
• Production-Readiness
• Responsible AI
• Data Protection
• Access Control

Tools & Technologies

• AI Platforms
• Cloud AI Services
• APIs
• JSON
• SQL
• Git
• CI/CD Tooling

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