AI Engineer

KBC Bank & Insurance Leuven, Belgium 2023 - Present

Overview

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Building the bank’s first production AI agents — from architecture design to deployment and monitoring. Active participant in architecture design boards, driving technical decisions for enterprise-scale agentic systems.

Key Achievements

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🤖 Production AI Agents

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• First internal AI agents deployed to production using AWS Bedrock and custom AgentCore framework
• Multi-agent orchestration for complex banking workflows (document processing, customer routing, compliance)
• Tool integration with internal banking APIs, document stores, and knowledge bases
• Memory management with session persistence and context windowing

🏗️ Architecture Leadership

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• Active participant in architecture design boards — driving technical decisions for AI infrastructure
• Designed event-driven agent pipelines using EventBridge, SQS, and Lambda
• Established guardrails and safety patterns using Bedrock Guardrails
• Built evaluation frameworks for continuous agent quality monitoring

📚 RAG Systems

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• Enterprise-scale Retrieval-Augmented Generation for internal knowledge management
• Hybrid search combining semantic embeddings with keyword matching
• Chunking strategies optimized for banking documents (contracts, policies, procedures)
• Incremental indexing for real-time updates to knowledge base

📊 AgentOps & Observability

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• Implemented agent tracing and trajectory evaluation for debugging complex agent behavior
• LLM-as-judge evaluation for response quality and hallucination detection
• Cost tracking and optimization for foundation model usage
• Latency monitoring and performance optimization

Technical Stack

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Agent Infrastructure

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AWS Bedrock AWS AgentCore Runtime LangChain LangGraph

Cloud & DevOps

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AWS Lambda EventBridge SQS DynamoDB SageMaker

Evaluation & Monitoring

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AgentOps CloudWatch Custom Evals

Foundation Models

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Claude OpenAI Titan Embeddings

Architecture Highlight

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flowchart LR
    subgraph INPUT["Ingestion"]
        API[API Gateway]
        EB[EventBridge]
    end
    
    subgraph AGENT["Agent Layer"]
        ORCH[Orchestrator Agent]
        DOC[Document Agent]
        KNOW[Knowledge Agent]
    end
    
    subgraph TOOLS["Tools & Data"]
        RAG[RAG System]
        APIS[Banking APIs]
        GUARD[Guardrails]
    end
    
    subgraph OBS["Observability"]
        TRACE[Tracing]
        EVAL[Evaluation]
    end
    
    INPUT --> AGENT
    AGENT --> TOOLS
    AGENT --> OBS

Impact

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• 50%+ reduction in manual document processing time
• Production-grade reliability with <1% error rate on agent tasks
• Scalable architecture handling thousands of daily agent interactions
• Knowledge democratization — internal knowledge accessible via natural language