AI Engineer

Job Description:

Ready to revolutionize intelligent automation and operational efficiency at Airbus? 

We're seeking an innovative AI Agent Designer to join our high-impact Methods and Tools team. You'll be the crucial link, translating intricate business logic and engineering workflows into autonomous, high-performing AI agents and multi-agent systems on our cutting-edge, Engineering Knowledge Framework [EKF] AI platform.

This isn't just about prompt engineering; it's about shaping the future of digital continuity and AI augmented Aircraft Engineering across Airbus. You'll dive deep into dynamic data integration, retrieval-augmented generation (RAG), and agentic workflows—turning complex engineering requirements into seamless, secure, and compliant AI solutions.

If you're a proactive leader, eager to drive AI innovation from concept to deployment in a large, complex engineering ecosystem, this is your opportunity to shine!

Key Responsibilities:

• Agent Architecture & Analysis: Understand complex business and engineering workflows, identify augmentation opportunities, and document detailed functional requirements for AI agent personas, tools, and guardrails.
• Feasibility & Risk Assessment: Proactively evaluate AI automation suitability for use cases. Analyze engineering requirements to determine appropriateness, identifying potential failure modes, data gaps, or regulatory risks before development.
• Hands-on Agent Configuration: Directly design, configure, and fine-tune AI agents, prompting strategies, agent body of knowledge (databases and graphs) within our internal EKF platform.
• Stakeholder Engagement: Act as the primary liaison between engineering business teams and core EKF development teams, managing expectations and ensuring alignment on agent capabilities and limitations.
• Agile Execution: Collaborate closely with EKF development teams to refine, clarify, and prioritize user stories for EKF capabilities, agent tools, APIs, and data pipelines.
• Testing & Evaluation: Develop test plans specifically for AI behavior (including accuracy, hallucination mitigation, and regression testing), lead User Acceptance Testing (UAT), and ensure agents meet rigorous quality and safety standards.
• Documentation & Governance: Create comprehensive documentation (agent specifications, prompt catalogs, configuration guides) and train end-users on interacting with and auditing AI agents.
• Continuous Optimization: Monitor agent performance in production, analyze user feedback loops, and iteratively improve agent reasoning, context retrieval, and efficiency.
  

Experience: 5+ years of progressive experience as a Business Analyst, Systems Designer, or Solution Architect, with a minimum of 2 years explicitly focused on designing decision support systems, AI agents, or advanced LLM implementations. 

Experience in the aerospace engineering field would be a plus.

Required Skills

• Proprietary Tool Mastery: The ability to quickly learn and master internal, proprietary agent-building platforms and orchestration frameworks with provided training.
• AI & Data Literacy: Strong understanding of LLM capabilities, agentic design patterns (e.g., reflection, planning, tool-use), RAG patterns, semantic data handling and LLM as judge.
• Integration Skills: Solid understanding of databases, knowledge graphs, vector embeddings, and API integrations required to grant agents access to external tools.
• Core Business Analysis: Excellent requirements elicitation, analysis, and documentation skills (use cases, user stories, interaction diagrams, and process flows).
• Pragmatic Problem-Solving: Proven ability to balance technical ideals with operational reality. You prioritize reliability, maintainability, and data quality over theoretical AI performance, ensuring agents deliver measurable business value in constrained environments.
• Communication & Alignment: Outstanding communication, presentation, and interpersonal skills; proven ability to translate complex business logic into AI instructions and constraints.,
• Agile Expertise: Well-experienced in Agile/SAFe methodologies and modern project management tools (VersionOne, ALM, Jira, Confluence, etc.).
• Leadership & Autonomy: Autonomous with strong leadership and influence skills to drive collaboration across interfacing technical and Airbus engineering business teams in a fast-paced environment.

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.

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Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.

Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com.

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.