This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board. Job description

Senior Generative AI Engineer (C grade)

There has never been a better time to join the Data & AI team at KPMG. Our clients and communities 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 assists clients in 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, focusing on extracting data insights, building AI models, and delivering value through engaging, data-driven stories. Our multi-disciplinary approach enables us to address complex client issues and significantly impact their business results. Role Overview:

KPMG UK is seeking a

Senior GenAI Engineer

to join our

Data & AI team . 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 a key role in designing AI systems, managing teams, and ensuring effective integration of AI models into client environments, while maintaining data governance and security standards. Key Responsibilities:

AI Solution Development:

Design, develop, and implement generative AI models to solve client business challenges. Collaborate with senior AI engineers and data scientists to build solutions aligned with business goals. Create Proof of Concepts (PoCs), Minimal Viable Products (MVPs), and full-scale AI projects that deliver business value.

Client Project Delivery & Team Management:

Support the delivery of AI solutions, ensuring successful and timely project execution. Manage and mentor AI engineers and data scientists, providing guidance throughout project cycles. Gather client requirements, translate into technical solutions, and facilitate seamless AI model implementation.

Coding & Implementation:

Develop and optimize AI models with high-quality, production-ready code. Utilize tools like TensorFlow, PyTorch, Databricks, and Snowflake for deployment in cloud environments. Ensure AI models are integrated into existing systems, managing version control and CI/CD processes.

Data Management & Integration:

Coordinate with data engineering teams for smooth data flow and management. Ensure AI models are integrated into data pipelines with attention to data quality and consistency. Follow best practices for data governance, security, and privacy, especially with sensitive data.

Business Development & Practice Building:

Identify AI opportunities, support feasibility studies, and develop tailored data strategies. Contribute to RFP responses, proposals, and client demos, showcasing AI solutions. Support the growth of KPMG's AI practice through innovative ideas and solutions.

Ethical and Secure AI deployment:

Ensure compliance with data governance policies and regulations. Implement best practices for data privacy, security, and ethical AI. Develop guidelines for secure data handling in AI projects.

Qualifications & Experience:

Educational Background:

Degree in Computer Science, Statistics, or related field preferred but not mandatory. Equivalent professional experience or certifications in AI/ML are advantageous.

We value diverse backgrounds and encourage those with relevant experience to apply. Work Experience:

5+ years in AI/ML, with focus on generative AI solutions. Experience with Large Language Models like GPT, BERT, etc. Proficiency with frameworks such as TensorFlow, PyTorch, and cloud platforms like Databricks and Snowflake.

Skills:

Designing and coding generative AI models, prompt engineering for LLMs. Understanding of AI/ML algorithms, model optimization, deployment in cloud environments. Experience with version control, Docker, and data engineering tools. Strong collaboration, leadership, and communication skills.

Why KPMG?

Work with diverse, exciting clients across industries and globally. Engage in impactful projects solving real-world problems. Collaborate with talented, supportive colleagues. Be part of an innovative leader in data & technology. Opportunities for personal and professional growth. Make a meaningful difference through your work.

#J-18808-Ljbffr