Senior Generative AI Engineer

TN United Kingdom; Watford; On-site; GBP 70,000 - 110,000; Full time

Job description

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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 ethically and impactfully. The KPMG Data & AI team assists clients on their AI transformation journeys by leveraging advanced analytical techniques and large-scale AI platforms. Our projects span industries such as Financial Services, Retail, Public Sector, Healthcare, Energy, and Utilities, focusing on data insights, AI models, and delivering value through data-driven stories. Our multidisciplinary approach enables us to solve complex issues and significantly impact business results.

Role Overview:

KPMG UK seeks a Senior GenAI Engineer to join our Data & AI team. You will contribute to the development and deployment of generative AI models, support client projects, and collaborate on impactful AI solutions. You will design AI systems, manage teams, and ensure effective AI model integration into client environments, adhering to data governance and security standards.

Key Responsibilities:

1. AI Solution Development: Design, develop, and implement generative AI models to solve client challenges. Collaborate with senior engineers and data scientists to align solutions with business goals. Participate in creating PoCs, MVPs, and full AI projects that deliver business impact.
2. Client Project Delivery & Team Management: Support AI solution delivery, ensuring successful and timely outcomes. Manage and mentor AI engineers and data scientists, providing guidance throughout projects. Work with cross-functional teams to gather requirements and ensure seamless AI model implementation.
3. Coding & Implementation: Develop and optimize AI models with high-quality, production-ready code. Use tools like TensorFlow, PyTorch, Databricks, and Snowflake for deployment in cloud environments. Manage AI model integration, version control, and CI/CD processes.
4. Data Management & Integration: Collaborate with data engineering teams to ensure smooth data flow and management for AI development. Maintain data quality, security, and privacy in line with governance policies.
5. Business Development & Practice Building: Identify AI opportunities, support feasibility studies, and develop data strategies. Contribute to proposals, RFP responses, and client demos. Help grow KPMG’s AI practice by introducing innovative solutions.
6. Ethical and Secure AI Deployment: Ensure AI models comply with data governance and industry regulations. Implement best practices for data privacy, security, and ethical AI. Contribute to developing guidelines for secure data handling in AI projects.

Qualifications & Experience:

• Educational Background: Degree in Computer Science, Statistics, or related fields is preferred but not mandatory. Consideration given to relevant professional experience and certifications in AI/ML.
• Work Experience: 5+ years in AI/ML, with experience in developing and deploying generative AI solutions. Proven work with LLMs like GPT, BERT, etc. Strong expertise in frameworks such as TensorFlow, PyTorch, and cloud platforms like Databricks and Snowflake.
• Skills: Proficiency in designing and coding generative AI models, prompt engineering, model optimization, and deployment. Experience with version control, Docker, Hadoop, Spark, Elasticsearch. Excellent collaboration, leadership, and communication skills.

Why KPMG?

• Work with diverse, exciting clients across industries and regions.
• Engage in impactful projects solving major business challenges.
• Collaborate with brilliant, supportive colleagues.
• Participate in innovative projects recognized globally.
• Shape your career with extensive training and development opportunities.
• Make a meaningful difference in clients' success.