KPMG is seeking to implement Automation and AI solutions to enhance Chief Financial Officer (CFO) processes and analytics
Requirements
- Minimum three years of recent experience in AI solutions development
- Proficiency in programming languages such as Python or R, and SQL; experience with machine learning model development, strong data architecture and solution-building skills, and exposure to AI frameworks and advanced financial systems
- Demonstrated experience and understanding with artificial intelligence and machine learning techniques, as well as experience in leading Automation, Agentic AI, and Generative AI technology and process projects offering guidance in design, process decisions, and strategies for system implementations
- Familiarity with the latest developments in the AI marketplace, and ability to adapt the architecture, as well as components accordingly
Responsibilities
- Assist the Manager in implementing Automation and AI solutions, focusing on AI/ML , Automation, and Agentic AI opportunities to enhance Chief Financial Officer (CFO) processes and analytics
- Analyze data patterns to identify AI opportunities; conduct hands-on experimentation with AI platforms and vendors, and document technical specifications
- Collaborate with CFO teams and other stakeholders to ensure AI solutions meet strategic business requirements; support the Manager in project planning and implementation
- Contribute to change management initiatives by designing training sessions, and office hours to increase employee proficiency in AI tools
- Assist in establishing AI architecture aligned with market trends, and organizational standards; regularly update components to reflect ecosystem changes
Other
- Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future
- Bachelor's degree field from an accredited college or university in computer science, statistics, or a related
- Excellent collaboration and communication skills to work effectively with stakeholders, developers, and data scientists; capability to foster hyper-collaboration and enable a culture of continuous learning and skilling
- Strong analytical and problem-solving skills with the capability to design systems that handle complex data sets
