AI Developer - #1127911

Overview

The AI Programmer is responsible for developing, implementing, and maintaining AI-driven solutions that support organisational innovation and digital transformation. This role includes consulting with stakeholders to understand business needs, translating them into AI solutions, and providing expert training in AI and technology-related domains. The AI Programmer combines hands-on technical development with advisory work, solution design, and capability-building across the organisation.

Key Responsibilities

AI Solution Development & Programming

·         Design, develop, and deploy AI models, algorithms, and machine learning pipelines.

·         Build software applications, automation workflows, and APIs that integrate AI capabilities.

·         Write clean, efficient, and scalable code in relevant languages such as Python, JavaScript, C++, or Java.

·         Conduct testing, validation, and optimisation of AI models to ensure reliability and performance.

·         Develop data processing and feature engineering workflows to support model training.

AI Consulting & Business Needs Translation

·         Engage with clients or internal stakeholders to understand business challenges and objectives.

·         Translate business requirements into functional AI use cases, system designs, and technical specifications.

·         Conduct feasibility studies and recommend viable AI approaches, frameworks, and technologies.

·         Present complex AI concepts in simple, business-friendly terms to decision-makers.

·         Provide advisory support for adoption, implementation planning, and change management.

Training Program Development & Delivery

·         Design and develop AI- and technology-related training programs, workshops, and learning materials.

·         Create online, blended, and in-person learning content tailored to different user groups.

·         Deliver training sessions, technical demonstrations, and capability-development workshops.

·         Evaluate training effectiveness and update programs to reflect evolving technology trends.

·         Support organisational upskilling initiatives in AI, data, automation, and digital tools.

System Integration & Deployment

·         Integrate AI solutions into existing software systems, cloud infrastructures, or enterprise architectures.

·         Work closely with software engineers, data engineers, and product teams to support end-to-end deployment.

·         Develop documentation for architecture, processes, codebases, and user workflows.

·         Ensure solutions comply with security, data protection, and ethical AI standards.

Research, Innovation & Continuous Improvement

·         Keep abreast of the latest advancements in AI, generative AI, machine learning, and automation technologies.

·         Conduct research, prototyping, and experimentation to explore new AI opportunities.

·         Continuously refine and optimise existing AI solutions for improved accuracy and performance.

Support & Maintenance

·         Monitor model performance and maintain retraining cycles and updates.

·         Troubleshoot issues, provide technical assistance, and enhance system reliability.

·         Contribute to internal knowledge-sharing and best practice development.

Qualifications & Requirements

·         Bachelor’s degree in Artificial Intelligence, Computer Science, Data Science, Software Engineering, or equivalent.

·         Strong proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.

·         Experience with cloud environments (AWS, Azure, GCP) and API development.

·         Proven ability to translate business needs into actionable AI solutions.

·         Experience developing and delivering technical training programs or workshops.

·         Strong communication, presentation, and stakeholder management skills.

·         Experience in consulting, solution architecture, or client-facing roles is an advantage.

·         Ability to explain complex technical concepts to non-technical audiences.