• Design and implement enterprise AI and Generative AI solutions to support the organisation's AI-enabled Internal Audit strategy.
• Develop AI-powered capabilities across the audit lifecycle, including dynamic risk assessment, audit planning, fieldwork, quality assurance, and reporting.
• Design intelligent AI agent workflows and enterprise automation solutions using Generative AI technologies.
• Apply prompt engineering techniques to optimise AI model performance and business outcomes.
• Develop and integrate machine learning, Generative AI, and Large Language Model (LLM) solutions into enterprise audit processes.
• Collaborate with business, audit, risk, governance, and technology stakeholders to gather requirements and deliver AI-driven solutions.
• Design and implement secure AI solutions within Microsoft Azure AI Foundry, Microsoft Fabric, and the broader enterprise data ecosystem.
• Develop and maintain robust data engineering pipelines to support AI models and analytics initiatives.
• Perform data quality assessments and implement processes that improve data integrity and AI model performance.
• Develop analytics, dashboards, and risk scoring models to support audit decision-making and executive reporting.
• Integrate AI solutions with enterprise platforms and APIs while ensuring secure software delivery practices.
• Support AI governance by implementing Responsible AI principles, model risk management, privacy controls, and information security standards.
• Coordinate user acceptance testing (UAT), solution validation, and production readiness activities.
• Produce high-quality solution designs, technical documentation, testing artefacts, operational handover documentation, and training material.
• Support stakeholder enablement, knowledge transfer, and business adoption of AI capabilities.
• Contribute to the continuous improvement of AI delivery standards, governance frameworks, and enterprise best practices.

What we are looking for:

• Relevant tertiary qualification in Computer Science, Information Technology, Data Science, Artificial Intelligence, Engineering, or a related discipline.
• Minimum of 5 years' experience delivering analytics or AI solutions, with at least 2 years' hands-on experience implementing Generative AI, Large Language Models (LLMs), or Agentic AI solutions.
• Demonstrated experience delivering enterprise AI solutions within a regulated financial services or banking environment.
• Proven experience with AI solution architecture, machine learning, data engineering, and enterprise AI implementation.
• Experience designing AI-powered workflows, intelligent automation solutions, and enterprise-scale analytics platforms.
• Strong understanding of AI governance, Responsible AI, model risk management, privacy, and information security controls.
• Experience supporting AI testing, business adoption, and governance throughout the solution lifecycle.
• Knowledge of internal audit, risk management, assurance processes, or control testing is highly advantageous.
• Experience facilitating business requirements, coordinating UAT, and managing stakeholder engagement.
• Strong analytical, problem-solving, communication, and documentation skills.
• Ability to work independently while collaborating effectively with business, data, technology, audit, and governance teams.

Please note that if you do not hear from us within 3 weeks, consider your application unsuccessful.

Please note that most of our positions are remote; however, candidates should reside within travelling distance of the client site, as the working arrangements may change depending on business requirements.

Follow for the Latest Vacancies
Join Psybergate Careers Channel here: Psybergate Careers