EU remote
Senior AI Engineer – AI Transformation & Delivery
About this role
CAPCO POLAND * We are looking for Poland based candidate. At Capco Poland, we’re not just another consultancy - we’re the spark behind digital transformation in the financial world. As a global leader in technology and management consulting, we thrive on helping clients tackle the toughest challenges across banking, payments, capital markets, wealth, and asset management. Build secure, scalable AI solutions that turn banking innovation into production-ready capabilities.
The Role As a Senior AI Engineer within our AI Delivery Team, you will provide the technical engineering expertise needed to take high-value banking AI use cases from assessment and experimentation through to working solutions. Working alongside Engagement Managers, AI Consultants and client teams, you will help translate business requirements and use-case dossiers into robust technical designs, prototypes and production-ready AI capabilities.
You will contribute hands-on across solution architecture, engineering, integration, testing and deployment. You will work with modern AI approaches, including Generative AI and Agentic AI where appropriate, while ensuring solutions are engineered with security, privacy, explainability, auditability and human oversight in mind. You will also use approved AI-enabled engineering tools and automation to improve development speed and quality, with appropriate human review and validation.
What You’ll Do Design, build and iterate AI solutions for banking use cases, translating business and functional requirements into robust technical architectures, prototypes and production-ready capabilities. Develop and integrate AI applications, including Generative AI and Agentic AI solutions where appropriate , connecting models with enterprise data, APIs, applications and existing banking technology environments.
Engineer the controls required for responsible and secure AI, including access control, logging, traceability, explainability, auditability, human oversight and reproducibility of AI-supported decisions. Establish effective testing, evaluation and monitoring approaches for AI solutions, assessing performance, quality, reliability, security and appropriate model behaviour before and after deployment. Use approved AI-enabled development tools and automation to accelerate engineering, testing, documentation and troubleshooting while maintaining human review, secure development practices and clear audit trails.