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BrusselsHybridHours negotiable>12months
We are looking for a Senior AI Expert with strong hands-on expertise in Generative AI, Large Language Models (LLMs), Responsible AI, and AI Governance to lead enterprise-scale AI initiatives within an organization in the telecom sector.
What you will do.
- Lead the architecture, design and delivery of GenAI and LLM-based solutions across customer support, network operations, sales, fraud detection and automation.
- Design advanced LLM solutions using RAG, agentic workflows, orchestration and tool integration.
- Build and optimize solutions using LangGraph, Python, embeddings, vector databases and prompt engineering.
- Drive LLM fine-tuning, evaluation, safety alignment and performance optimization.
- Establish AI governance, model lifecycle management and approval processes.
- Ensure alignment with the EU AI Act, GDPR and telecom regulatory requirements.
- Implement Responsible AI principles including transparency, explainability, robustness, auditability and human oversight.
- Define controls for high-risk AI systems, including logging, traceability, risk assessments and technical documentation.
- Collaborate with Legal, Compliance, Security, Data Protection, Engineering and Data Science teams.
- Mentor technical teams and contribute to enterprise-wide AI standards.
What they ask
- 10+ years of experience across AI, Machine Learning or Software Engineering.
- Deep expertise in GenAI, LLMs, NLP and Conversational AI.
- Strong hands-on experience with RAG, embeddings, vector databases and prompt engineering.
- Strong proficiency in Python and LangGraph.
- Experience with modern ML frameworks such as PyTorch or TensorFlow.
- Experience with LLMOps/MLOps, CI/CD, monitoring and model lifecycle management.
- Cloud experience with Azure, AWS or GCP.
- Understanding of IAM, encryption, data access controls and secure AI deployment.
- Experience deploying AI solutions within regulated enterprise environments.
Profile
- Strong telecom experience is highly valued, particularly across:
- CRM and OSS/BSS systems
- Telecom customer journeys and digital channels
- Call centres, chatbots, voice bots and self-service platforms
- Telecom datasets including CDRs, network metrics and customer data
- AI-driven CX improvement, AHT reduction, churn prediction and operational automation
- Practical knowledge of the EU AI Act, including AI risk classification, high-risk system controls, human-in-the-loop mechanisms, auditability and documentation.
- Strong understanding of GDPR, data minimisation, consent and data residency.
- Comfortable engaging with senior stakeholders, explaining complex AI risks and opportunities, influencing enterprise AI decisions and mentoring cross-functional engineering and data teams.
- Master’s or PhD in Computer Science, Artificial Intelligence, Data Science, or a related discipline is preferred. Equivalent senior-level enterprise experience will also be considered.
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