
AI Engineer
Our Take
Develop and optimize AI Agents using LLMs and RAG for KBC's Credits domain.
What you’ll do
- Design, build, and optimize AI Agents using LLMs and RAG
- Integrate with large-scale big data pipelines and real-time processing
- Develop and maintain infrastructure using Terraform and AWS
- Build solutions deployable via KBC’s Execution Garden platform
- Contribute to security, compliance, and AI governance
What they’re looking for
- Proven experience with AWS cloud services (Lambda, S3, Bedrock)
- Strong knowledge of Terraform and infrastructure-as-code
- Experience with AI solutions, ML, or Generative AI
- Experience developing software solutions in Python
- Knowledge of mainframe environments (COBOL, DB2, CICS, MQ)
Skills & Focus Areas
- AI Agent Development
- AI
- Data-driven solutions
- Mainframe integration
As posted by KBC Group NV
KBC Global Services is the engine behind KBC Group – a leading bank-insurance group with over 41,000 talented employees serving more than 12 million clients across Europe.
Since 2021, we have been supporting the digital transformation of KBC Group providing software development, QA, AI and other IT solutions working on a wide range of projects combining classical IT with digital banking.
Within the domain of Credits, we explore and implement AI Agents that support employees in handling dossiers, analyzing complex files, and executing operational processes. These AI Agents combine information from multiple sources, including modern applications, documentation, and our mainframe environment, to provide contextual support throughout employees' daily activities. This for both Retail – and Business Credits departments.
We work according to the principles of the Scaled Agile Framework (SAFe) ️, where business value is at the center of everything we do, and multidisciplinary teams collaborate to deliver innovative solutions for our customers and employees.
To further strengthen this ambition, we are looking for an AI Agent Engineer who can bridge the gap between business, AI technology, and our existing application landscape.
What does this role involve?
As an AI Engineer, you will be responsible for implementation, delivery, monitoring and optimization of AI Agents that support employees within Credits in their daily activities. You understand both the technical capabilities of AI and the business processes within credits management, and you know how to connect these worlds effectively.
You will work closely with Data scientists (designers and creators of the AI agents), business experts, architects, developers, and operational teams to create AI solutions that deliver tangible value to our employees.
You will work on cutting-edge AI initiatives, including the development of AI agents, integration with our mainframe and deployment of scalable data-driven solutions. This role is ideal for someone who thrives in a collaborative environment and is passionate about AI innovation.
As our AI Engineer, you would have the following responsibilities:
- AI Agent Development: Design, build, and optimize AI Agents using modern AI technologies such as Large Language Models (LLMs), Agentic AI, and Retrieval-Augmented Generation (RAG), MCP operational knowledge;
- Business & Credits Understanding: Develop a solid understanding of Retail and Business Credits processes and translate operational challenges into practical AI solutions that support employees;
- System Integration: Work with large-scale big data pipelines and real-time data processing. Integrate with AWS Bedrock and other LLM-based platforms to build intelligent agents;
- Develop and maintain infrastructure using Terraform and AWS services;
- Deployment & Operations: Build solutions that can be deployed through KBC’s Execution Garden platform, taking into account scalability, monitoring, security, and maintainability;
- Responsible AI: Contribute to security, compliance, privacy, and the proper application of AI governance within KBC;
- Collaboration: Work closely with business stakeholders, architects, platform teams, and fellow engineers to successfully bring innovative AI solutions into production.
Key competences that will help you succeed:
- Proven experience with AWS cloud services (e.g., Lambda, S3, Bedrock);
- Strong knowledge of Terraform and infrastructure-as-code practices;
- Experience with AI solutions, Machine Learning, or Generative AI;
- Knowledge of AI Agent frameworks is a plus;
- Experience developing software solutions in Python;
- Experience integrating APIs and connecting data across various systems;
- Knowledge of mainframe environments (COBOL, DB2, CICS, MQ, etc.) is a strong asset;
- An interest in or experience with claims management and insurance processes;
- Strong analytical skills and the ability to translate complex business challenges into practical AI-driven solutions;
- Excellent communication skills in English;
- A collaborative mindset and enthusiasm for working in multidisciplinary agile teams;
If you find this job opportunity interesting and you recognize yourself in the above, apply via the button with your CV in English.
Join. Create. Innovate with us!
Recruiter Name
Kristina Stoyanova Lapova