Intern AI & Digital Solutions
Skills
About This Role
About The Role
This internship sits within the Data Audit, AI & Digital Assurance Solutions (DADAS) team in Group Internal Audit.
The intern will focus on exploring, prototyping, and deploying AI-driven solutions that enhance audit delivery and efficiency.
The role involves hands-on work with large language models, AI agents, and automation tools helping the team push the boundaries of how AI is applied within an internal audit function.
Ideal for someone passionate about applied AI who wants to work on real enterprise use cases.
Job Responsibilities
- Assist in exploring and prototyping AI use cases to automate or augment audit processes
- Build and test AI agents and automated workflows using LLMs and AI assistant platforms to support audit planning, fieldwork, and reporting
- Support prompt engineering efforts designing, testing, and refining prompts to improve the quality and reliability of GenAI outputs
- Help evaluate and integrate AI-powered tools into existing audit workflows, ensuring outputs meet quality, governance, and confidentiality standards
- Contribute to the development and documentation of the AI governance framework, including guardrails for responsible AI use within internal audit
- Support the team in benchmarking emerging AI tools, techniques, and platforms, identifying opportunities for adoption
- Assist in building proof-of-concept solutions that combine AI capabilities with data analytics to deliver predictive risk insights
Preferred Education & Experience
- Currently pursuing or recently completed a Bachelor's or Master's degree in Artificial Intelligence, Computer Science, Data Science, Software Engineering, or a related field
- Practical experience using AI assistants and large language models (e.g., ChatGPT, Claude, Copilot) for real tasks beyond casual use
- Experience building AI agents or automated workflows using frameworks such as LangChain, AutoGen, CrewAI, or similar orchestration tools is a strong plus
- Understanding of prompt engineering principles and techniques
- Working knowledge of Python (required) - familiarity with APIs, SDKs, and integration patterns
- Exposure to cloud platforms (Azure, AWS, GCP) or AI deployment environments is desirable
- Basic understanding of data governance, responsible AI, or AI risk concepts is an advantage
- Strong problem-solving mindset, curious about emerging technology, and comfortable experimenting
- Good communication skills - able to explain technical AI concepts clearly to a non-technical audience
- Self-motivated, proactive, and comfortable working with ambiguity
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