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# Advanced AI & Data Architect / Engineer (all genders)

- **Company:** Accenture
- **Location:** Wien, Austria (Remote available)
- **Experience:** Experienced
- **Salary:** €61,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Unit Testing, Microsoft Azure, Big Data, BigQuery, C Sharp (Programming Language), Cloud Computing, Databases, Continuous Integration, Data Architecture, Information Engineering, Data Integration, Data Warehousing, R (Programming Language), Python (Programming Language), PostgreSQL, Microsoft SQL Server, MongoDB, Neo4j, NoSQL, Oracle (Applications), Redis, Release Management, Cloudera, Scala (Programming Language), Simple Object Access Protocol (SOAP), Software Engineering, SQL Databases, Data Streaming, In-Memory Database System, Google Cloud, Pytorch, Large Language Models, Snowflake, Apache Spark, Git, Containerization, Kubernetes, Information Technology, Influxdb, HuggingFace, Apache Kafka, Cosmos DB, Machine Learning Operations, Azure Synapse Analytics, Software Version Control, Docker, Jenkins, Databricks, Web Api, Golang
- **Published:** August 16, 2026
- **Apply:** https://www.adzuna.at/details/5842743668

## About the Role

* Erfolgreicher Abschluss eines relevanten Studiums auf Master- oder PhD-Niveau im IT-Bereich, bevorzugt mit Schwerpunkt KI, Data Engineering, Software-Engineering oder Datenbanken.
 * Mindestens 2-3 Jahre Berufserfahrung in einem einschlägigen Bereich.
 * Fortgeschrittene Kenntnisse in diesen Bereichen setzen wir voraus: Software-Engineering (z.B.: Python, Scala, Java, C#, Go), Version Control System (z.B.: Git, Azure DevOps), Datenmanipulation (z.B.: SQL, R, Spark), SQL-Datenbanken (z.B.: MS SQL Server, Oracle, Postgres), Web APIs (z.B.: REST, SOAP).
 * Zusätzlich erwarten wir uns Expertise in einem der folgenden Kernbereiche:
 - Advanced AI: AI & ML Development (LangChain/Graph, LlamaIndex, PyTorch, MLflow) sowie Erfahrung mit LLM Foundation-/Fine Tuned Models (Open AI, Mistral, Anthropic, Hugging Face) und Vektordatenbanken (Azure AI Search, Chroma DB, PgVector)
 - Data Architecture & Engineering: Data Warehouse/Data Integration (z.B.: Databricks, Snowflake, MS Fabric, BigQuery, Azure Synapse) sowie NoSQL Datenbanken (z.B.: Azure Cosmos DB, MongoDB, InfluxDB)
 * Folgende Kenntnisse in einem oder mehreren dieser Bereiche sind ein Plus: Continuous Integration & Delivery (z.B.: Unit Testing, Jenkins, Release Management), Cloud Architekturen (z.B.: AWS, Azure, GCP - Zertifizierungen erwünscht), Big Data /In-Memory-Datenbanken (z.B.:Cloudera, Redis), Graphdatenbanken (Neo4j, Amazon Neptune, ArangoDB), Streaming Plattformen z.B. (Apache Kafka, Azure Event Hubs), Containerisierung & Orchestrierung (z. B. Docker, Kubernetes).
 * Projektbezogene Mobilität, Kommunikationsstärke auf Deutsch und Englisch sowie eine hohe Kundenorientierung

## Description

* Zugriff auf internationales Wissen und Expertennetzwerke
 * Flexible Arbeitszeitmodelle & Homeoffice
 * Überstundenausgleich
 * Umfangreiche Trainings- und Weiterbildungsmöglichkeiten
 * Zusammenarbeit mit führenden Expert:innen
 * Stetige fachliche und persönliche Weiterentwicklung


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