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.
The role involves architecting end-to-end Generative AI solutions including vector database orchestration and API integration.
Airbus is committed to workforce diversity and creating an inclusive working environment with flexible working arrangements to stimulate innovative thinking.
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 with FastAPI or Flask
AWS Bedrock and Google Vertex AI
Containerization with Docker and Kubernetes
RAG architecture design
Nice-to-have
Strong problem-solving and analytical skills
Excellent communication and presentation skills
Agile and DevOps practices experience
Ethical AI governance and compliance awareness
Rapid prototyping of AI features
Key Requirements
Bachelor's or Master's in Computer Science or related field
3+ years experience as Solution Architect or similar role
Experience with AI/ML frameworks and models
Proficiency in software development lifecycle and Agile