Assistant Manager - Senior AI Engineer

The KPMG Audit Technology team is dedicated to building cutting-edge solutions in close collaboration with the Audit function. We blend audit expertise with the latest technology, enabling us to understand the challenges our customers face daily and develop indispensable products that simplify their lives while promoting Audit Quality.

As a crucial member of the team, you will collaborate with a talented mix of Cloud & DevOps Engineers, Product Owners/Managers, Solution Architects, Data Engineers, Business Analysts, and Testing Specialists. Together, we build, deliver, and manage a portfolio of truly exciting products. In recent years, our products’ size and scale have rapidly expanded, leading to significant growth in our technology capability. There’s never been a better time to join us. With our ambitious growth plans, your future here is something to get excited about.

As a Senior AI Engineer, you will contribute to the design, build, and deployment of scalable AI and Generative AI solutions within core audit platforms. You will support delivery of AI engineering initiatives, ensuring high-quality, maintainable, and production-ready solutions. Work closely with cross-functional teams to integrate AI capabilities into products and services, and support capability development within the team by sharing knowledge and contributing to best practices in AI engineering and AI-native development.

Summary of role purpose:

• Contribute to the design, build, and deployment of scalable AI and Generative AI solutions within core audit platforms.
• Support delivery of AI engineering initiatives, ensuring high-quality, maintainable, and production-ready solutions.
• Work closely with cross-functional teams to integrate AI capabilities into products and services.
• Support capability development within the team by sharing knowledge and contributing to best practices in AI engineering and AI-native development.

Description of the role:

• Scalable AI Development: Design, develop, and deploy AI systems for audit use cases, producing clean, efficient, and scalable code aligned to software engineering principles, LLMOps practices, and cloud-native development.
• AI-Powered Delivery: Support the implementation of AI pipelines, APIs, and data integration workflows, leveraging an AI-Native Engineering approach and tools such as Claude Code and GitHub Copilot.
• Operational Excellence: Follow established development patterns and standards, contributing to LLMOps practices including version control, monitoring, evaluation, and performance optimisation of AI solutions.
• Cross-Disciplinary Collaboration: Work closely with product managers, engineers, and QA teams to deliver integrated AI solutions aligned to requirements and timelines.
• Knowledge Sharing: Contribute to team capability through knowledge sharing, supporting peers, and promoting the use of reusable components and best practices.

Experience and knowledge requirements:

• Experience delivering AI/ML solutions, including experience deploying solutions in production environments, with a focus on quality and scalability.
• Solid foundation in AI engineering, including AI/ML lifecycle concepts, generative AI applications, and system design.
• Experience delivering rapid prototypes and proof-of-value solutions, translating ideas into working solutions under tight timelines.
• Strong Python expertise with hands-on experience in modern AI/ML frameworks and libraries (e.g. LangChain, LangGraph, Microsoft Agent Framework, Pydantic, PyTorch, Spark).
• Familiarity with modern engineering practices, including Git and version control, with an understanding of branching strategies, code reviews, and collaborative development workflows.
• Exposure to LLMOps practices, including prompt and model versioning, evaluation frameworks, monitoring, and performance optimisation.
• Experience with cloud and data platforms, such as Azure, Databricks, or similar.
• Experience in regulated or enterprise environments (e.g. financial services, audit, public sector).
• Experience working with AI development tools (e.g. GitHub Copilot, Claude Code, or similar).

Behavioural Attributes and Skills:

• Strong problem-solving skills with attention to detail.
• Collaborative and team-oriented mindset.
• Eager to learn and adapt in a fast-evolving AI landscape.
• Ability to communicate technical concepts clearly to a range of stakeholders.
• Delivery-focused with a pragmatic approach to engineering challenges.

Qualifications:

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Statistics, or related field.
• Master’s or PhD in a relevant discipline.
• Advanced certifications in AI, Machine Learning, Cloud (e.g., Azure), or Data Engineering.

We are open to talk to talent across the country but our core Tech hubs for this role are: Glasgow, Leeds, London, Canary Wharf, Manchester. With 20 sites across the UK, we can potentially facilitate office work, working from home, flexible hours, and part-time options. If you have a need for flexibility, please register and discuss this with our team.

We’re committed to creating an inclusive environment where all colleagues thrive and reach their full potential, whatever their identity or background. We’re a member of the Business Disability Forum so please get in touch if you’d like to discuss any adjustments that you might need in the application process - and if you are successful beyond this.

Audit is the largest of our UK practices. Some of the world’s biggest companies rely on us to provide independent insight, challenge and expertise, so the work we undertake affects investment decisions, inspires confidence in public sector expenditure and supports our economic growth. Today, more than ever in disruptive times, audit is a function needed by society, and in the future, we can capitalise, and grow.

If you share our commitment to achieving excellence and working to the highest audit standards, are a natural collaborator who values different perspectives and relishes the opportunity to develop and progress - then KPMG could be the place where you can thrive.