Data & AI Engineer
Accenture is looking for a Data & AI Engineer to build and deploy AI solutions on Azure OpenAI and other Azure AI services, integrating them with enterprise data platforms and pipelines. The role also involves prototyping emerging AI features and stepping into data engineering tasks such as building ETL pipelines when required.
Skills required
About this role
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)
.
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