GenAI Engineer in Banking/Financial industry

Technologies we use

Expected

• Python
• SQL

Optional

• AWS
• Microsoft Azure
• Google Cloud Platform
• Terraform
• Kubernetes
• GitHub Actions

About the project

Within the Financial Services domain, you will help address business challenges by applying AI solutions to real‑world financial use cases. The role combines Generative and Agentic AI with a strong understanding of financial processes to support automation and decision‑making, delivered in close collaboration with business stakeholders, finance experts and technical teams.

Your responsibilities

• You will contribute to AI initiatives and support the delivery of modern AI solutions across the financial industry. Your responsibilities will include:
• Designing and implementing AI solutions, including Generative AI, LLM based workflows and Agentic AI components, supporting automated and assisted decision making in financial processes.
• Executing end to end testing of AI solutions and AI agent workflows, ensuring accuracy, reliability and alignment with business and regulatory expectations.
• Collaborating with SMEs and technical teams to design, implement and optimize data pipelines for AI model training, inference and agent execution.
• Evaluating model and agent performance, identifying opportunities for continuous improvement with a focus on accuracy, compliance, explainability and iterative enhancement.
• Identifying reusable Gen AI and Agentic AI components and patterns that can be leveraged across ongoing and future projects.

Our requirements

• Practical banking/financial industry experience with Generative AI and/or Agentic AI, including LLM based workflows, prompt engineering and orchestration of multi-step AI or agent workflows.
• Very good Python and SQL skills, with hands on experience in cloud based data platforms and databases, supporting end to end LLM based solutions.
• Good understanding of cloud platforms such as AWS, Azure or GCP.
• Strong communication skills and the ability to explain technical and AI related concepts to non-technical stakeholders.
• Degree in Finance, Mathematics, Data Science or a related quantitative or technical field.

Optional

• Hands on exposure to infrastructure and automation tools such as Terraform, GitHub CI/CD, Kubernetes or similar platforms.
• Familiarity with financial workflows such as risk modeling, valuation, forecasting, regulatory reporting or fraud detection.
• Basic knowledge of architecture design principles across IT and AI systems.

What we offer

• Practical benefits: yearly financial bonus, private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and access to NAIS benefit platform.
• Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, TED Talks and Udemy Business materials and trainings.
• Cutting-Edge Technology: Position yourself at the forefront of IT innovation, working with the latest technologies and platforms. Capgemini partners with top global enterprises, including 145 Fortune 500 companies.
• Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details.

Benefits

• access to courses e.g. Excel, VBA, RPA, Customer Care
• unlimited access to Udemy Business
• free chat/call with a therapist
• sharing the costs of sports activities
• private medical care
• life insurance
• no dress code
• parking space for employees
• extra social benefits
• redeployment package
• employee referral program
• charity initiatives

Recruitment stages

• Interview with the recruiter
• Competency Tests/Language Verification
• Video call with a manager
• Final Decision

Capgemini Polska

Capgemini is the business transformation partner for enterprises in the age of AI. We help organizations imagine and build an intelligent, sustainable future, combining AI, technology and human ingenuity to transform how they operate, innovate and grow. With unique end-to-end capabilities spanning strategy, technology, engineering and intelligent operations, we bring together deep industry expertise and market-leading capabilities in AI, cloud and data to turn ambition into measurable business outcomes at scale. Supported by a robust ecosystem of partners and nearly 60 years of expertise, Capgemini is a responsible and diverse global organization of over 410,000 team members in more than 50 countries. The Group reported 2025 revenues of €22.5 billion.

This is how we work