Senior AI Engineer – AI Transformation & Delivery

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.

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.

• →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.

• Demonstrated software or AI engineering experience, with hands-on experience designing, developing, integrating and deploying AI-enabled applications or services.
• Practical experience working with AI technologies, including Generative AI, large language models and related application patterns, with an understanding of Agentic AI approaches.
• Experience integrating AI capabilities with enterprise systems, data sources and APIs, with knowledge of scalable application architecture, cloud environments and modern software engineering practices.
• Understanding of responsible AI and engineering controls relevant to regulated environments, including privacy, cybersecurity, access control, logging, explainability, auditability and human oversight.
• Ability to work collaboratively with business, product, data, risk and technology stakeholders, translating requirements and use-case assessments into practical technical solutions.

• Experience building AI solutions within banking, financial services or another regulated environment.
• Experience with LLM application patterns such as retrieval-augmented generation (RAG), tool use, structured outputs, evaluation frameworks or AI agents.
• Familiarity with AI/ML deployment, monitoring, observability and lifecycle management practices in enterprise environments.
• Knowledge of the EU AI Act and its implications for the design, engineering, documentation and governance of AI systems.
• Curiosity and confidence in experimenting with approved AI engineering tools, automation and emerging AI capabilities while applying appropriate security, governance and human-in-the-loop controls.

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