AI Solutions Engineer

The Grid Technologies Switch Gear (GT SG) business unit located in Richland, MS. is seeking an experienced, self-driven AI Solutions Engineer. As a member of the Operations team the AI Solutions Engineer is responsible for designing, building, and implementing AI- and data-driven solutions across the factory, office, and wider operations. The role works closely with Operations, Digitalization, and external partners to turn real business problems into practical AI use cases, develop prototypes, and industrialize successful solutions into daily operations.

A key part of the role is to review and leverage existing Siemens Energy solutions and platforms before developing new ones.

• Work with production and office teams to identify opportunities for AI and advanced analytics (e.g. planning optimization, document automation, quality inspection).
• Analyze processes and data availability to assess feasibility and expected impact of potential use cases.
• Review existing Siemens Energy digital/AI solutions, platforms, and reference use cases and evaluate their applicability before developing new solutions.
• Contribute to the AI initiative pipeline and support building simple business cases (effort vs. benefit).
• Translate business requirements into technical specifications for AI/analytics solutions.
• Collaborate with IT/ Digitalization and engineering teams to integrate AI solutions into production and office environments, existing applications, or dashboards.
• Work with external partners (e.g. software vendors, startups, universities, consulting partners) to evaluate, pilot, and integrate external AI solutions where they add value.
• Work closely with end users to understand requirements, validate prototypes, and refine solutions.
• Prepare and deliver trainings or user guides to help colleagues use AI tools and dashboards effectively.

• Bachelor’s or Master’s degree in Data Science, Computer Science, Industrial Engineering, Applied Mathematics, or related field.
• Approximately 3–5+ years of experience in data analytics, AI/ML, or digitalization, ideally with exposure to manufacturing or operations.
• Hands-on experience with:
• Programming:
  Python (pandas, Num Py, etc.) , SQL and
• Data visualization / dashboarding tools (e.g. Power BI, Tableau, or similar)
• Proven experience delivering AI/analytics solutions from concept or prototype to production or regular business use.
• Solid understanding of manufacturing or operations processes (e.g. production, logistics, planning) and related data preferred.
• Strong written and oral communication skills.
• Ability to work collaboratively in a team environment.