Data & AI Engineer
At a glance
Mid-level AI Engineering role at Avanade. Krakow · full-time.
Pay not stated AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and release AI applications with Azure OpenAI and related Azure AI services
- Connect AI components to enterprise data platforms, pipelines and operational systems
- Work with data engineers to prepare reliable, well-structured inputs for AI workflows
- Test new AI capabilities and turn useful findings into improvements for clients
- Take on pipeline and ETL work when project needs call for data engineering
What you bring
- Hands-on experience with Azure AI services, including OpenAI, AI Foundry or Cognitive Services
- Strong Python ability and a working grasp of prompt engineering
- A solid grounding in ETL and data modeling, plus experience with PyTorch or TensorFlow
- English proficiency at B2 level or above
Who this fits
This mid-level role suits someone who can build with Azure AI and explain AI concepts clearly to technical and non-technical audiences. You’ll work in a hybrid setup in Krakow, Poland.
From the employer
Come join us
We’re seeking a Data & AI Engineer to design and deliver intelligent solutions on Azure using modern data practices. You’ll contribute to cross-industry projects that bring together Azure OpenAI, Azure AI Foundry, and other leading AI capabilities. When required by the project, you’ll also take on Data Engineering work—building data pipelines and implementing ETL processes.
What you’ll do
Build and release AI solutions using Azure OpenAI and related Azure AI services
Connect AI components with enterprise data platforms, pipelines, and operational systems
Partner with data engineers to ensure high-quality, well-structured data feeds AI workflows
Prototype and evaluate emerging AI features, turning them into practical client-facing improvements
Step into a Data Engineering role when a project calls for it
.
Skills and experiences
To succeed in this position, you should have:
Proven experience with the Azure AI stack (OpenAI, AI Foundry, Cognitive Services)
Strong Python skills
Comfort translating AI concepts into clear guidance for both technical and non-technical audiences
Working knowledge of prompt engineering techniques
Solid grasp of data engineering fundamentals (ETL, data modeling)
Experience with ML frameworks such as PyTorch and TensorFlow
Ideally, practical exposure to data engineering platforms and tools such as Databricks, ADF, MS Fabric
English at B2 level (or higher)
.