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Airbus

SKYWISE AI Automation Developer

  • Hybrid
  • 3-6 years

Salary

Not stated

Similar roles pay $95K - 125K a year · our estimate

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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.

Requirements

  • 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.

Benefits

  • 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 amenities, and only 10 minutes away from Hwy 85. As part of our family, you will enjoy:
  • Being part of Airbus Network
  • Flexible hours
  • Hybrid working environment (3 days in office)
  • Free parking
  • Vacation Days (15 - 25)
  • Professional Development Day
  • Christmas shut down
  • Summer core hours
  • Strong work-life balance
  • Casual dress code
  • Competitive group benefits plan
  • Strong focus on mental health support benefits
  • Sick and Personal days
  • RRSP matching program
  • Life Insurance
  • Access to Employee Share Scheme
  • Maternity & Paternity benefits
  • Referral program
  • Rewards and Recognition program
  • Training and Development Support
  • Monthly Lunch and Learns
  • Fitness & Wellness reimbursement
  • An active social committee
  • Organized Volunteer Events
  • Game room, including a flight simulator!
  • Active Inclusion & Diversity Committee
  • And much more
  • AI Disclosure: No artificial intelligence tools are used to screen, assess, or select candidates for this role
  • Selection and Hiring Commitment
  • We thank all applicants for applying. Only selected applicants will be contacted.
  • Skywise is committed to creating an environment and a culture where everyone feels like they belong no matter who they are or where they are from. We are committed to providing equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job. We do not discriminate against any employee or applicant for employment because of race, colour, sex, age, national or ethnic origin, religion, sexual orientation, gender identity or expression, marital status, family status, genetic characteristics, record of offences, and basis of disability or any protected class. Accommodations will be available on request for candidates throughout the entire recruitment and selection process.
  • 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.
  • Company:
  • Skywise Canada Inc.
  • Contract Type:
  • Permanent
  • --
  • Experience Level:
  • Professional
  • Job Family:
  • Digital <JF-IM-DI>
  • By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
  • 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.

Where you’d work

Part of the week in the office

You can work from

  • Canada

About the company

Airbus

  • Industry: Mobility

Offices in Waterloo, Canada, Canada

Also hiring in Lisbon, Portugal, Spain, Montreal, Canada and 21 more places

3 of their 219 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

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  • 2 red flags

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  • Must-haves
Details12 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • SQL
  • Google Cloud
  • LLMs
Type
Full-time
Industry
Mobility
Specialty
Backend
Region
Canada
Pay period
Annual
Show 6 more factsShow less

Role

Category
Development
Specialty
Backend
Experience
3+ years
Tech stack
  • Python
  • SQL
  • Google Cloud
  • LLMs

Location

Work model
Hybrid
Region
Canada
Offices
  • Waterloo, Canada
  • Canada
Remote from
  • Canada

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

Company

Industry
Mobility

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