# SKYWISE AI Automation Developer at Airbus

Airbus is hiring a SKYWISE AI Automation Developer in Waterloo, Canada. Level rates it Little AI ●○○○; you can [apply on Airbus](https://jobsbylevel.com/go/a449d0d6-7bf3-4f8d-969a-61942fc098f7?utm_medium=ai-agent).

AI Level 1, AI centrality 13 out of 100. Waterloo.

## Details

- Company: [Airbus](https://jobsbylevel.com/companies/airbus)
- AI level: AI Level 1 (score 13 out of 100)
- Location: Waterloo
- Posted: October 16, 2026
- Apply: https://jobsbylevel.com/go/a449d0d6-7bf3-4f8d-969a-61942fc098f7?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/skywise-ai-automation-developer-at-airbus-68ccee

## Description

Job Description: Skywise is a leading digital services company, wholly owned by Airbus. We deliver a first-of-its-kind offer that seamlessly integrates Planning & Operations Control, Flight, Technical, and Ground Operations. By providing interoperable digital solutions for end-to-end operations, Skywise combines aircraft manufacturer expertise and digital know-how to transform operational complexity into predictable and profitable performance, ensuring resilient and more sustainable operations. We are looking for a collaborative and technical AI Automation Developer to partner across value streams and business units to identify, design, and deploy AI-enabled automated workflows. In this role, you will evaluate operational models, build robust data-driven solutions across corporate infrastructure, and ensure system performance and productivity impact from inception to maintenance. This role is in the Operational Excellence group reporting to the Head of Enterprise AI and Business Applications. We work closely with the functional units of the business (ie. Human Resources, Legal, Sales, Procurement) to understand their outcomes, streamline their processes and automate for quality and efficiency. Responsibilities: Stakeholder Collaboration: Partner with Value Streams, Process Governance, and the Business Applications group to identify opportunities for automation, including the use of AI to enable automation. Process Analysis: Evaluate the existing operational model and procedures to map business outcomes to recommend technical solutions which will drive a positive impact on productivity. Agent Development: Design, develop, and connect automated AI-enabled workflows across diverse corporate tools and software infrastructure. Optimization: Rigorously validate, roll out, and track system performance to ensure stability, data security, and impact to productivity goals. Train: Produce clear operational documents, cross-train business team members, and hand off operational workflows to process owners for ongoing support and maintenance. Guide: Follow advancements in AI and automation trends to continuously propose innovative enhancements that boost operational productivity. Must Haves: 3+ years of experience designing, developing and deploying business automation with AI-enabled solutions in a business environment. Strong understanding of AI concepts, specifically prompt engineering and how to leverage Large Language Models (LLMs) for business tasks. Experience using AI platforms such as Gemini, Claude, Codex, Copilot, or similar tools. Experience to evaluate where AI adds value and an understanding of risks related to accuracy, data handling, and appropriate use. Experience with tooling to connect business systems (ie. Workday, SAP, Salesforce) and workflows, using technologies like APIs/MCPs or data mesh/lake. Experience with the full lifecycle of supporting solutions from inception to production. Knowledge of scripting languages such as PowerShell, Python, Bash. Strong problem solving skills. Ability to communicate effectively to both non-technical and technical business stakeholders. *Technology You’ll Use: Google Enterprise: Google Cloud AI, Vertex AI Agents, AppSheet, and Google Workspace integrations. Data Platforms: Databricks, Palantir (Foundry/AIP), Enterprise Data Lakes. Languages & Frameworks: Python, PySpark, SQL. Infrastructure: Advanced Google Cloud Platform (GCP) data services, Git. *Nice to Haves: Knowledge of data lake type technologies (ie. Palantir, Databricks) and the challenges and pitfalls during the setup and lifecycle of these technologies. Knowledge of broader cloud infrastructure and security practices. Experience in change management, user adoption, or training internal teams on new tech. Background in Agile project management. What we Offer: Located in the heart of University of Waterloo’s David Johnston Research + Technology Park, Skywise is close to shops, restaurants, gyms, daycare, and many other

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/skywise-ai-automation-developer-at-airbus-68ccee

Source: https://jobsbylevel.com/jobs/skywise-ai-automation-developer-at-airbus-68ccee

## Cite this page

Level. https://jobsbylevel.com/jobs/skywise-ai-automation-developer-at-airbus-68ccee.

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