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Job Description
Structured overview of role & requirementsAbout This Role
Translate complex business and engineering workflows into autonomous AI agents and multi-agent systems on Airbus’ Engineering Knowledge Framework (EKF) platform.
Design, configure, and fine-tune AI agents including prompt strategies and knowledge bases, ensuring alignment with functional requirements and regulatory risks.
Lead testing (including accuracy and hallucination prevention), documentation, stakeholder engagement, and continuous optimization of AI agent performance in production.
Minimum Requirements
5+ years experience including at least 2 years designing decision support systems, AI agents, or advanced LLM implementations.
Strong understanding of LLM capabilities, agentic design patterns (reflection, planning, tool-use), RAG patterns, semantic data handling, knowledge graphs, and API integrations.
Proven skills in business analysis: requirements elicitation, documentation, user stories, interaction diagrams, process flows.
Work Experience Required: 5+ years total, 2+ years specifically on AI agents or LLM-based systems. Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in large, complex engineering or aerospace domains with exposure to multi-stakeholder environments.
Operates at the intersection of business analysis and AI agent architecture with strong pragmatic problem-solving balancing technical ideals and operational constraints.
Comfortable leading cross-functional teams and liaising between engineering business units and core AI platform developers within Agile/SAFe frameworks.