# AI Engineer at Airbus

Airbus is hiring an AI Engineer in Bengaluru, India. Level rates it Builds AI ●●●●; you can [apply on Airbus](https://jobsbylevel.com/go/7f3bccef-c761-45eb-bb6b-a2761c776129?utm_medium=ai-agent).

AI Level 4, AI centrality 83 out of 100. Bangalore Area.

## Details

- Company: [Airbus](https://jobsbylevel.com/companies/airbus)
- AI level: AI Level 4 (score 83 out of 100)
- Location: Bangalore Area
- Posted: October 6, 2026
- Apply: https://jobsbylevel.com/go/7f3bccef-c761-45eb-bb6b-a2761c776129?utm_medium=ai-agent

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/ai-engineer-at-airbus-abad12

## Description

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

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/ai-engineer-at-airbus-abad12

Source: https://jobsbylevel.com/jobs/ai-engineer-at-airbus-abad12

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Level. https://jobsbylevel.com/jobs/ai-engineer-at-airbus-abad12.

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