Consultant – Artificial Intelligence & Technologies; Industrial AI; f​/m​/d

Consultant – Artificial Intelligence & New Technologies (Industrial AI) (f/m/d)

As a Consultant – Artificial Intelligence & New Technologies (Industrial AI) (f/m/d) , you focus on embedding AI directly into operational and production environments.

• Access to Siemens share plans
• 30 days of paid vacation and a variety of flexible work schedules that allow time off for you and your family
• 2 to 3 days of mobile working per week as a global standard
• Flexible training opportunities for both your professional and personal development that you can tailor to your interests

Since each of over 300,000 team members feels that other benefits are particularly important, and we cannot list our entire benefit portfolio here, you can find more information here.

The individual benefits are subject to regulatory, contractual, or corporate conditions.

• Collaborate on cross‑functional projects with consultants, domain experts, and clients, to set the foundational layer for AI transformation and build scalable and reliable AI applications in critical industrial areas such as Predictive Maintenance, Visual Quality Inspection, Process Optimization, Digital Twins, Industrial IoT analytics, and Generative AI for engineering and manufacturing workflows.
• Engage with clients to translate complex operational and business needs into project approaches, technical solutions, and develop advanced AI models for the analysis of large‑scale and high‑dimensional industrial data (e.g., sensor data, machine logs, production parameters).
• Take ownership of software components making them reliable and scalable within OT/IT integrated environments, and help design the overall architecture for industrial AI solutions.
• Communicate results to stakeholders of all seniority levels – from top management to plant operators & end users – ensuring clear understanding of AI's impact on industrial processes.
• Stay current with the latest research and technology trends in Industrial AI, edge computing, and smart manufacturing to build state‑of‑the‑art data‑driven solutions.
• Enjoy project‑related travel and work on exciting challenges at our customer’s sites, often within manufacturing plants, energy facilities, or smart infrastructure projects.

• An excellent university degree (master/diploma/PhD) in computer science, mathematics, physics, or related fields with a strong background in data science, machine learning or data engineering.

• Hands‑on experience with IT‑OT architectures for time series analyses, computer vision and/or recommender systems and cloud‑based AI solutions, with knowledge of industrial standards (e.g., OPC‑UA) and devices as a plus.
• Relevant practical experience through at least two internships in a consultancy, a renowned industrial or tech company, or a start‑up and a proven track record of excellence in consulting with data science, data engineering and cloud architecture, software engineering, industrial AI, or a related field.
• Profound knowledge of core data science & machine learning programming languages (Python), data warehousing & engineering (focus on Snowflake) and cloud platform expertise (focus on Azure).
• A high degree of curiosity, willingness to learn and innovate, social skills and team spirit as well as communication skills in English.
• Hands‑on experience designing, developing, and deploying AI applications in operational or industrial environments (e.g., predictive maintenance, process optimization, IoT analytics).
• Hands‑on experience with AI applied to industrial data (time series, images, sensor data).
• Experience with IT/OT architectures and cloud‑based AI solutions; knowledge of industrial standards is a plus.
• Strong communication skills, curiosity, and fluency in English.

• You enjoy project‑related travel and work on exciting challenges at our customer’s sites, often within manufacturing plants, energy facilities, or smart infrastructure projects.

You are much more than your qualifications, and we believe in the potential of every single candidate. We look forward to getting to know you!

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