Senior AI Engineer (Smart Solutions) (all genders)

RHI Magnesita N.V.; Wien; Hybrid; EUR 59.000 - 72.000; Vollzeit

Benefits dieser Stelle

50% home office

Annual Vienna transport pass

Health & wellness sponsorship

Cafe & daily meal allowance

Corporate benefits platform

Zusammenfassung

RHI Magnesita N.V. is seeking a Senior AI Engineer to own end-to-end AI portfolio delivery across Europe & CIS. The role focuses on production-grade ML systems and AI applications, including forecasting, anomaly detection, and agentic LLM-based tools.

Hybrid work in Vienna area with flexible hours and strong governance expectations. You will design data products and integrate multiple enterprise systems, maintaining high security and performance while driving business value.

Qualifikationen

• Several years of experience building production ML/data systems.
• Strong Python and SQL proficiency with solid software practices.
• Experience with modern data platforms and distributed processing.
• Expertise in at least one of: commercial data science, industrial time-series, or NLP on business data.
• Experience building and operating LLM-based apps with evaluation of output quality.

Aufgaben

• Architect and scale production-grade AI solutions for operations and sales use cases.
• Design data products and pipelines across multiple systems and data sources.
• Develop ML solutions including forecasting, anomaly detection, and predictive maintenance.
• Build AI applications using LLMs, retrieval, search, and tool-calling with governance.
• Integrate AI apps with SAP, CRM, MES and other platforms with controlled access and gates.

Kenntnisse

Python

SQL

Spark

Databricks

ML modeling

Data pipelines

LLM apps

Azure DevOps

Docker

CI/CD

Tools

Databricks

Delta Lake

MLflow

AI Search

Azure DevOps

Docker

Jobbeschreibung

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Senior AI Engineer (Smart Solutions) (all genders)

Hybrid

Your position

We are looking for a Senior AI Engineer to help build and scale the Smart Solutions AI portfolio, driving end-to-end process coverage across the Europe & CIS region. You will focus on high-impact use cases in one of two business areas:

• Operations:making production, machine, maintenance, and financial data usable for decisions – moving plants from reactive, post-mortem analysis toward predictive operational and financial steering built on machine learning and making cost-optimization opportunities and best practices visible and comparable across the European production network.
• Sales:shifting the sales process away from administrative work toward customer engagement – unified access to customer, commercial, and market intelligence, AI-supported selling under human oversight, and forward-looking pipeline and opportunity management.

As a hands‑on senior engineer, you will take architectural ownership of key solutions, focusing on building and scaling production‑grade systems rather than managing teams or conducting pure research.

• Designing and building reliable data products and pipelines integrating production, machine, commercial, and enterprise data across multiple systems and sites, alongside less structured sources such as operational and service reports, business documents, internal communications, and external market data.
• Developing and productionize ML solutions such as forecasting, anomaly detection, predictive maintenance, segmentation, propensity and recommendation models, and optimization.
• Building AI applications using LLMs, retrieval, document processing, search, and tool-calling, including agentic systems with orchestration, delegation, and supervision of AI agents, where they create clear business value.
• Designing and run systematic evaluation for AI applications and agents – task success, output quality, regression testing, and monitoring of agent behavior in production.
• Building out an open integration architecture connecting enterprise systems, communications, and external data, and integrate AI applications with platforms such as SAP, CRM, MES, planning, and maintenance systems – using controlled, permissioned access that respects existing system boundaries, with human approval gates before any action that writes back to an operational system.

Our technology environment

• Languages and processing : Python, SQL, Spark
• Data and AI: Databricks, Delta Lake, MLflow, AI Search
• Cloud and delivery: Azure, Azure DevOps, Docker, CI/CD

Your profile

• Several years of experience building data and machine learning systems that run in production, including responsibility for their operation after deployment.
• Expert Python and strong SQL, together with solid software engineering practices such as version control, automated testing, CI/CD, and cloud deployment.
• Experience with modern data platforms and distributed data processing; Databricks experience is an advantage.
• Demonstrable depth in at least one of the following areas:
• Commercial and customer data science:customer and product data, entity resolution, propensity or recommender models, forecasting, or NLP on business documents.
• Industrial and time-series data:sensor and process data, forecasting, anomaly detection, predictive modelling, or data-quality challenges in operational environments.
• Experience building and operating LLM-based applications with real users – for example retrieval, extraction, search, or tool-calling systems, and ideally agentic systems involving orchestration, delegation, and supervision of AI agents – together with systematic evaluation of their behavior and output quality.
• Strong judgement in solution design – including choosing the right level of technical complexity for the problem, knowing when a simpler statistical, ML, or workflow-based approach is preferable, and balancing solution quality with security, performance, and efficient model and token usage.
• Ability to understand commercial and operational business problems and communicate effectively with both technical and non-technical stakeholders.

Nice to have:

• Experience with optimization or operations research
• Understanding of cost, performance, or management accounting concepts
• Ability to build practical user interfaces or analytical applications

Our offer

The annual gross salary for this full-time position starts at €65,000.00, with a competitive package based on qualifications, experience, and market values.

Flexibility: Possibility of up to 50% home office and flexible, trust-based working hours

Mobility: Annual public transport pass (Wiener Linien)

Health: Sponsorship of sporting events, platform for mental & physical health (Mavie)

Plus: Our own café and daily food allowance for numerous restaurants (Europlaza), corporate benefits platform

In addition to these local benefits for Vienna, we also offer you many global benefits.

Do you want to take the next step?

At RHI Magnesita, everyone is welcome! We embrace diversity in all forms and evaluate applications solely based on qualifications and experience. If you share our passion for shaping tomorrow’s world, we’d love to hear from you, even if you don’t meet all the requirements. We also actively encourage individuals with disabilities to submit their application.

Do you have more questions?

People Engagement, Employer Branding & DEI Partner

As the global leader in refractories, we supply advanced products, technologies and services essential for high-temperature industrial processes in sectors such as steel, cement, and glass. With around 20,000 employees and production sites across the globe, we are committed to fostering innovation, sustainability, and market leadership. By leading the industry in reducing emissions and supporting our customers' transitions to greener solutions, we are shaping tomorrow’s world.