About Capco
Capco is a global technology and management consultancy that helps financial services clients address challenges across banking, payments, capital markets, wealth, and asset management.
Responsibilities
•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
Requirements
•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
Nice to have
•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
Conditions
Not specified in the posting.
