2 days ago
Opole, Poland +6 moreMid Level
Responsibilities
- Design and implement Generative AI, LLM-based workflows, and Agentic AI components for automated and assisted decision-making in financial processes.
- Execute end-to-end testing of AI solutions and agent workflows for accuracy, reliability, and regulatory alignment.
- Design, implement, and optimize data pipelines supporting AI model training, inference, and agent execution.
- Evaluate model and agent performance and identify improvements in accuracy, compliance, explainability, and iterative enhancement.
- Identify reusable GenAI and Agentic AI components and patterns for current and future projects.
- Collaborate with business stakeholders, finance experts, SMEs, and technical teams to deliver AI solutions.
Requirements
- Practical banking or financial-industry experience with Generative AI or Agentic AI, including LLM workflows, prompt engineering, and multi-step AI or agent orchestration.
- Very good Python and SQL skills, with hands-on experience using cloud-based data platforms and databases for end-to-end LLM solutions.
- Good understanding of AWS, Azure, or GCP.
- Degree in Finance, Mathematics, Data Science, or a related quantitative or technical field.
- Strong communication skills and the ability to explain technical and AI concepts to non-technical stakeholders.
- Preferred experience with Terraform, GitHub CI/CD, Kubernetes, or similar infrastructure and automation platforms.
- Preferred familiarity with risk modeling, valuation, forecasting, regulatory reporting, or fraud detection.
- Basic knowledge of architecture design principles across IT and AI systems is preferred.
Benefits
- Yearly financial bonus, private medical care through Medicover, preferential access to additional medical packages, life insurance, and access to the NAIS benefits platform.
- Access to more than 70 training tracks with certification opportunities, plus Education First, TED Talks, and Udemy Business learning materials.
- Hybrid work model after onboarding, with office and home-office work supported by a package including a laptop, monitor, and chair.
- Opportunities to work with current AI, cloud, and data technologies for global enterprise clients.
Categories
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.