ai engineer for banking

Capco is a global technology and management consultancy that helps financial services clients address challenges across banking, payments, capital markets, wealth, and asset management.

• Design, build, and iterate AI solutions for banking use cases, translating business and functional requirements into technical architectures, prototypes, and production-ready capabilities
• Develop and integrate AI applications, including Generative AI and Agentic AI solutions, connecting models with enterprise data, APIs, applications, and banking technology environments
• Engineer responsible AI controls, including access control, logging, traceability, explainability, auditability, human oversight, and reproducibility of AI-supported decisions
• Establish testing, evaluation, and monitoring approaches to assess AI solution performance, quality, reliability, security, and model behavior 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 audit trails

• Demonstrated software or AI engineering experience, including hands-on experience designing, developing, integrating, and deploying AI-enabled applications or services
• Practical experience with AI technologies, including Generative AI and large language models, and understanding of Agentic AI approaches
• Experience integrating AI capabilities with enterprise systems, data sources, and APIs
• Knowledge of scalable application architecture, cloud environments, and modern software engineering practices
• Understanding of responsible AI and engineering controls for regulated environments, including privacy, cybersecurity, access control, logging, explainability, auditability, and human oversight
• Ability to collaborate with business, product, data, risk, and technology stakeholders and translate requirements and use-case assessments into practical technical solutions
• Будет плюсом: Experience building AI solutions in 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 enterprise AI/ML deployment, monitoring, observability, and lifecycle management; knowledge of the EU AI Act and its implications for AI system design, engineering, documentation, and governance; 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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