Lead Generative AI Engineer

Generative AI Engineer (D 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 looking for a Generative AI Engineer to join our Data & AI team. In this role, you will be involved in the development and deployment of generative AI models and solutions, supporting client projects, and driving impactful AI initiatives. You’ll work closely with senior AI professionals and contribute to designing and implementing AI solutions that deliver real business value.

Key Responsibilities:

1. AI Solution Development:
   • Assist in the design and development of generative AI models and solutions for clients across various industries.
   • Work with senior engineers to implement AI models into business processes, ensuring the solutions align with client needs and objectives.
   • Participate in the creation of Proof of Concepts (PoCs) and Minimal Viable Products (MVPs) to demonstrate AI capabilities.
2. Client Project Delivery:
   • Support the delivery of AI solutions for client projects, ensuring timely execution and high-quality outcomes.
   • Collaborate with cross-functional teams to understand client requirements, translate them into technical specifications, and help drive the successful implementation of AI models.
   • Contribute to client presentations and demos, showcasing AI capabilities and how they address specific business challenges.
3. Coding & Implementation:
   • Write, optimize, and implement AI code for model development, integrating generative AI models into scalable production environments.
   • Use tools such as TensorFlow, PyTorch, and cloud platforms like Databricks and Snowflake to build and deploy AI solutions.
   • Collaborate with other engineers on coding best practices, version control, and continuous integration/continuous delivery (CI/CD) processes.
4. Data Management & Integration:
   • Work with data engineering teams to ensure smooth data collection, management, and integration for AI model development.
   • Help integrate AI models with existing data pipelines and systems, ensuring data is processed and utilized effectively for AI model training and deployment.
   • Ensure data quality and adhere to best practices for data governance and privacy when handling sensitive information.
5. Business Development & Practise Building
   • Work closely with business teams and clients to demonstrate the potential of AI and assess its feasibility for solving business challenges.
   • Lead feasibility studies, develop data strategies, support RFP responses, and demo to prospective clients.
6. Ethical and Secure AI deployment
   • Ensure compliance with KPMG’s data governance policies and industry regulations regarding AI models and data processing.
   • Implement best practices in data privacy, security, and ethical AI, particularly when handling sensitive data.

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 experience in designing and deploying AI/ML solutions, please consider applying
  • Advanced certifications in AI/ML, cloud computing, or data engineering 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:
  • 3+ years of experience in AI/ML, specifically in the development and deployment of generative AI models.
  • Hands-on experience working with Large Language Models (LLMs) like GPT, BERT, or similar technologies.
  • Familiarity with AI frameworks such as TensorFlow, PyTorch, and cloud platforms like Databricks and Snowflake.
• Skills:
  • Proficient in coding and optimizing generative AI models, particularly in the areas of prompt engineering and LLMs.
  • Familiarity with AI/ML algorithms and model deployment in cloud environments.
  • Experience with version control tools (e.g., Git), and knowledge of Docker and containerization.
  • Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.

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.