Senior AI Engineer (Smart Solutions) (all genders)

11 days ago

Vienna, AustriaSenior

Responsibilities

Design and build reliable data products and pipelines integrating production, machine, commercial, enterprise, document, communication, and external market data.
Develop and productionize ML solutions including forecasting, anomaly detection, predictive maintenance, segmentation, propensity, recommendation, and optimization models.
Build LLM applications using retrieval, document processing, search, tool-calling, and agent orchestration, delegation, and supervision.
Design and run systematic evaluation for AI applications and agents, including task success, output quality, regression testing, and production behavior monitoring.
Build an open integration architecture connecting enterprise systems, communications, and external data sources.
Integrate AI applications with SAP, CRM, MES, planning, and maintenance systems using controlled access and human approval gates for operational write-backs.
Take architectural ownership of key solutions and operate production systems after deployment.

Several years of experience building and operating production data and machine-learning systems.
Expert Python, strong SQL, and solid software engineering practices including version control, automated testing, CI/CD, and cloud deployment.
Experience with modern data platforms and distributed data processing; Databricks experience is advantageous.
Depth in commercial and customer data science or industrial and time-series data, such as forecasting, anomaly detection, predictive modeling, recommender systems, entity resolution, NLP, or operational data quality.
Experience building and operating LLM-based applications with real users, including retrieval, extraction, search, tool-calling, or agentic systems.
Experience systematically evaluating AI behavior and output quality.
Strong solution-design judgment balancing technical complexity, security, performance, and model and token efficiency.
Ability to understand commercial and operational problems and communicate with technical and non-technical stakeholders.
Fluent English.
Experience with optimization or operations research, accounting concepts, or practical user-interface and analytical application development is desirable.

Hybrid Vienna work arrangement with up to 50% home office and flexible, trust-based working hours.
Annual public transport pass through Wiener Linien.
Sponsorship of sporting events and access to the Mavie mental and physical health platform.
Company café, daily food allowance for restaurants at Europlaza, and a corporate benefits platform.
Additional global benefits are available.

5,001-10,000 employees