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Siemens

Automation, digitalization, and smart infrastructure provider

Gas Turbine Digitalization Solutions Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeGurugram, Haryana, IndiaNo salary listed

About the Job

Requirements

  • A bachelor's or master's degree in Computer Science, Data Science, Information Technology, Electrical, Electronic, Mechatronic, or Mechanical Engineering.
  • At least 5 years of professional experience in software development, data engineering, or data/AI solutions in an industrial, energy, or engineering environment.
  • Strong programming skills in Python and SQL.
  • Hands-on experience with cloud data platforms and relational databases, including data modeling and performance optimization.
  • Proven experience delivering AI/ML or generative AI solutions to production, including large language models, prompt engineering, retrieval-augmented generation, or AI agents.
  • Experience with Microsoft 365 and Power Platform, including Copilot Studio, Power Automate, Power BI, and SharePoint, as well as Excel/VBA automation.
  • Experience developing applications with Mendix.
  • Experience with AI-assisted development using Visual Studio Code or Cortex Desktop.
  • Knowledge of software engineering practices, including object-oriented design, Git, continuous integration/continuous delivery, automated testing, and Agile/Scrum.
  • Excellent written and spoken English is required.
  • Willingness to work with partial time-zone overlap with Europe and the Americas.

Responsibilities

  • Design, develop, and maintain digital solutions for Service Engineering, including fleet monitoring and analysis tools such as the Fleet Monitoring Tool, Service Response Intelligence, SEDOP, and Snowflake-based solutions and agents.
  • Build and maintain data pipelines, data models, and analytics in Snowflake and relational databases such as Oracle and SQL, integrating maintenance and service records, outage reports, and sensor data.
  • Develop AI and generative AI solutions, including agents, knowledge search/retrieval-augmented generation, and large-language-model-based document and report analysis, using platforms such as Snowflake Cortex, Microsoft Copilot Studio, and Azure OpenAI.
  • Automate engineering workflows using Python, Excel/VBA, and Power Automate.
  • Translate engineering requirements into technical designs and act as technical lead alongside the Product Owner, contributing to backlog refinement, estimation, and delivery planning.
  • Drive data quality, governance, and data-access topics with data owners and IT, ensuring solutions are secure, compliant, and maintainable.
  • Mentor and technically guide engineers through code reviews, best practices, and knowledge sharing.
  • Create documentation, training material, and demonstrations, and support user adoption and stakeholder communication, including leadership updates.

Desired Qualifications

  • Experience with Java, C#, or JavaScript.
  • Knowledge of Alteryx.
  • Knowledge of power-generation equipment such as gas turbines or of service/maintenance data.

About the Company

Siemens

Automation, digitalization, and smart infrastructure provider

Siemens is a global engineering and technology company focused on automation, digitalization, smart infrastructure, and mobility. Its products and solutions span industrial automation systems, electrical equipment, energy management, and digital services that help industries run more efficiently. The company’s core technology comes from its history of electrical generation and distribution, including the dynamo-electric principle, and it now sells hardware, software, and services that connect factories, buildings, grids, and transportation networks. Siemens differentiates itself through scale, a broad portfolio across the value chain, and a long track record of large-scale, multi-country projects in infrastructure and industry. Its goal is to enable smarter, more sustainable industrial processes and urban systems by integrating hardware, software, and digital services to improve productivity, energy efficiency, and mobility.

Company size
10,001+
Company stage
IPO
Headquarters
Munich, Germany
Founded
1847

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