You will design the blueprints for our AI ecosystem—selecting models, designing RAG pipelines, and ensuring our AI initiatives are scalable and ethical
Job Summary
You will design the blueprints for our AI ecosystem—selecting models, designing RAG pipelines, and ensuring our AI initiatives are scalable and ethical.
At Airbus, we support you to work, connect and collaborate more easily and flexibly, fostering flexible working arrangements to stimulate innovative thinking.
Airbus is committed to achieving workforce diversity and creating an inclusive working environment welcoming all applications irrespective of social and cultural background.
Matching Summary
You will design the blueprints for our AI ecosystem—selecting models, designing RAG pipelines, and ensuring our AI initiatives are scalable and ethical.
Skills & Requirements
Must-have
Generative AI solution architecture
LangChain and VertexAI expertise
Experience with Gemini and Anthropic models
Python development and API frameworks
Cloud and on-prem deployment strategies
Containerization with Docker and Kubernetes
RAG architecture and vector database orchestration
Nice-to-have
Strong communication and presentation skills
Agile and DevOps practices knowledge
Problem-solving and analytical skills
Ethical AI governance and security awareness
Rapid prototyping of AI features
Key Requirements
Bachelor's or Master's degree in Computer Science or related field
3+ years experience as Solution Architect or similar role
Experience with AWS Bedrock and Google Vertex AI
Strong Python skills
Experience with containerization technologies
Awareness of compliance risks and integrity commitment