Senior Generative AI Engineer
Location: Aberdeen, Birmingham & Other locations
Capability: Advisory
Job details
Location: Aberdeen, Birmingham, Bristol, Cambridge, Cardiff, Edinburgh, Gatwick, Gibraltar, Glasgow, Leeds, Liverpool, London, Manchester, Milton Keynes, Newcastle upon Tyne, Norwich, Nottingham, Plymouth, Reading, South Coast - Southampton, Watford
Capability: Advisory
Experience Level: Manager
Type: Full Time or Part Time
Service Line: Technology & Data
Contract type: Permanent
Job description
Senior Generative AI Engineer (C grade)
There has never been a been a better time to join the Data & AI team at KPMG. Our clients and communities we act in embrace the opportunities provided by AI, and are looking for help deploying GenAI in a fair, ethical and impactful way. The KPMG Data & AI team helps clients on their AI transformation journeys by leveraging advanced analytical techniques and industrial-scale AI platforms. Our projects span industries such as Financial Services, Retail, Public Sector, Healthcare, Energy, and Utilities, with a focus on extracting data insights, building AI models, and delivering value through engaging, data-driven stories. Our approach is multi-disciplinary, so we are able to answer our clients’ most complex issues and have significant impact on their business results.
Role Overview:
KPMG UK is seeking a Senior GenAI Engineer to join our Data & AI team. In this role, you will contribute to the development and deployment of generative AI models, support client project delivery, and work collaboratively to drive impactful AI solutions. You will play an integral role in designing AI systems, managing teams, and ensuring that AI models are effectively integrated into client environments, all while adhering to data governance and security standards.
Key Responsibilities:
- AI Solution Development:
- Contribute to the design, development, and implementation of generative AI models to address client business challenges.
- Collaborate with senior AI engineers and data scientists to build AI solutions that align with business goals.
- Participate in the creation of Proof of Concepts (PoCs), Minimal Viable Products (MVPs), and fully developed AI projects that drive business impact.
- Client Project Delivery & Team Management:
- Support the delivery of AI solutions for client projects, ensuring successful outcomes and timely execution.
- Manage and mentor a team of AI engineers and data scientists, providing guidance and support throughout the project lifecycle.
- Collaborate with cross-functional teams to gather client requirements, translate them into technical solutions, and ensure seamless implementation of AI models.
- Coding & Implementation:
- Develop and optimize generative AI models, ensuring high-quality code that meets production standards.
- Work with tools like TensorFlow, PyTorch, Databricks, and Snowflake to implement and deploy AI models in cloud environments.
- Ensure the integration of AI models into existing systems, managing version control and collaborating on continuous integration/continuous delivery (CI/CD) processes.
- Data Management & Integration:
- Work closely with data engineering teams to ensure smooth data flow, integration, and management for AI model development.
- Ensure AI models are well-integrated into existing data pipelines, with an emphasis on data quality and consistency.
- Adhere to best practices for data governance, security, and privacy, particularly in relation to sensitive client data.
- Business Development & Practice Building:
- Assist in identifying opportunities for AI solutions that meet client needs, supporting feasibility studies and the development of tailored data strategies.
- Contribute to business development efforts by supporting RFP responses, proposals, and client demos, highlighting the value of AI-driven solutions.
- Help expand KPMG's AI practice by bringing innovative ideas and solutions to clients and assisting in the growth of AI capabilities.
- Ethical and Secure AI deployment
- Ensure AI models and data processing are compliant with KPMG’s data governance policies and industry regulations.
- Implement best practices in data privacy, security, and ethical AI, particularly when working with sensitive or regulated data.
- Contribute to the development of guidelines and frameworks for the secure handling of data in AI projects.
Qualifications & Experience:
- Educational Background:
- We are keen to hear from people with the right skills and mindset. We think that this means you will likely have a degree in a related field (such as Computer Science, Statistics or a related field) – but that is not a must.
- If you have a degree in a different field, or no degree at all but significant professional experience in a related field, please consider applying
- Advanced certifications in AI/ML or course work are a bonus.
(We want to continue to build out our team with the best and brightest minds in the industry, and if you feel you can contribute to our strategic goals and our clients, we would love to hear from you)
- Work Experience:
- 5+ years of experience in AI/ML, with a focus on developing and deploying generative AI solutions.
- Proven experience working with Large Language Models (LLMs) like GPT, BERT, or similar technologies.
- Strong expertise in AI frameworks such as TensorFlow, PyTorch, and cloud platforms like Databricks and Snowflake.
- Skills:
- Proficient in designing and coding generative AI models, including prompt engineering for LLMs like GPT and BERT.
- Strong understanding of AI/ML algorithms, model optimization, and deployment in scalable cloud environments.
- Experience with version control (e.g., Git), Docker, and data engineering tools such as Hadoop, Spark, and Elasticsearch.
- Excellent team collaboration, leadership, and communication skills, with the ability to manage and mentor junior team members.
Why KPMG?
- Work with the most exciting clients: We help organisations across industries, from Financial Services, to Retailers, Public Sector and third sector. Both in the UK, and globally.
- Work on the most exciting projects: We help our clients solve their biggest problems. We spend time getting to know their organisations and we work in multi-disciplinary team developing complete solutions that drive impact.
- Spend time with brilliant, collaborative colleagues: We are often described as one of the most collaborative team clients (and colleagues) come across. Working for KPMG means that you will work alongside some of the most brilliant, and collegiate minds in the industry.
- Be part of a world leading innovator: KPMG Data & Technology regularly features as a leader or winner in the most prestigious analyst league tables. Get involved in some of the most innovative projects delivered collaboratively with our clients.
- Take charge of your career: With world leading training and development programmes, a culture of exploring your personal interest and opportunities across sectors, functions and areas of expertise, you will have ample opportunity to shape your career with KPMG.
- Feel a sense of achievement: Our approach to working with clients means that we make a real difference.
About KPMG
With offices across the UK, we are part of a global network of firms providing Audit, Tax & Law, Consulting, Deal Advisory and Technology Services to diverse clients.
About KPMGOur Values
They provide us with a strong sense of identity, ensuring we can grow stronger. They bind us together, across our different backgrounds and cultures, and are common to each of us. Explore more about why Our Values matter.
Read moreAgile working
From role sharing and flexible start and finish times to home working, we'll try and support the flexible work patterns that best suit you.
Read moreCommitted to inclusion
We want you to bring your full self to work - to make this a place where people from every background thrive.
Read moreSupporting work returners
We welcome applications from people who have taken a career break.
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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.
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We don't accept speculative CVs from agencies - you can see our policy on agencies here:
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