Industrial AI Engineer

Siemens seeks an Industrial AI Engineer for onsite work in the Dallas–Fort Worth area to build, deploy, and scale Industrial AI solutions that improve manufacturing performance.

Responsibilities

• Develop and deploy AI models that tackle industrial and manufacturing challenges using data-driven insights and decision-making.
• Design and build AI solutions using time-series shopfloor data and MES/IT data, aligned to real production processes and operational needs.
• Own data preparation, including engineering/feature work, and execute model development that effectively uses contextualized industrial data.
• Deploy AI models into live factory environments and ensure reliable performance under data variability, latency, and operational workflow integration constraints.
• Collaborate with Cybersecurity, Data Architects, System Architects, software developers, and factory teams to keep solutions scalable, reusable, and integrated.
• Work with external partners to support implementation of standardized Industrial AI solutions.
• Continuously validate and refine AI models using production data and feedback to deliver measurable improvements in operational performance and business outcomes.
• Lead scaling efforts across plants by enabling repeatable deployment patterns and supporting organization-wide Industrial AI standardization.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
• 2+ years developing and deploying AI/ML models in production environments, preferably in industrial, manufacturing, or automation contexts.
• 2+ years programming with relevant languages: Python, R, or Java; and using common AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn, including hands-on model building and testing.
• 2+ years experience deploying and validating AI models in industrial or other production environments.
• 2+ years experience working in cross-functional, customer-facing teams and adapting to evolving requirements.
• 2+ years experience working with data-driven systems in operational or industrial environments.
• Ability and willingness to travel up to 20% to support customer teams during critical deployments.
• Authorized to work in the United States without sponsorship now or in the future.

Technologies

• Python, R, Java
• TensorFlow, PyTorch, scikit-learn
• MES/IT, MES, IT
• Senseye, Industrial Edge

Preferred Qualifications

• Strong analytical and problem-solving skills, plus the ability to communicate complex technical concepts as practical Industrial AI applications.
• Experience in production manufacturing environments, including piloting, validating, and refining AI solutions based on operational production feedback.
• Familiarity with Industrial AI platforms and ecosystems, including Siemens solutions such as Senseye and Industrial Edge or comparable AI/IoT platforms, plus exposure to industrial automation and OT/IT integration, including cloud-based AI deployment.
• Knowledge of data preparation, feature engineering, AI model evaluation, and relevant considerations for compliance, safety, and regulatory requirements for AI in industrial environments.
• Experience managing multiple projects and workstreams in deadline-driven settings, supporting continuous improvement through performance monitoring, model drift mitigation, model refinement, and scaling across deployments.
• Track record sharing deployment learnings and collaborating with factory teams to drive continuous improvement and adoption of AI solutions.

Location: Dallas, TX (onsite) • Salary: USD 83,966 - 143,942 per year • Experience: 2+ years