Gas Turbine Digitalization Solutions Engineer

Siemens AG; Gurugram District; On-site; INR 2,000,000 - 4,000,000; Full time

Job summary

Siemens Energy India Limited is seeking a Gas Turbine Digitalization Solutions Engineer to design and scale AI-driven solutions for service engineering. You will own end-to-end delivery from engineering requirements to production-ready tools, collaborating across teams in India, Europe, and the US.

You will develop data pipelines, implement AI models, and automate workflows using Python, Power Platform, and Mendix. Strong English communication and ownership are essential.

Qualifications

• Bachelor's or Master's degree in a relevant engineering/IT field.
• 5+ years of professional experience in software/data/AI in industrial, energy, or engineering contexts.
• Hands-on experience with cloud data platforms (Snowflake preferred) and relational databases (Oracle preferred).
• Experience delivering AI/ML/GenAI solutions to production environments.

Responsibilities

• Design, build, and scale data- and AI-driven solutions for service engineers.
• Develop data pipelines and analytics in Snowflake and relational databases.
• Create AI agents, RAG, and LLM-based analysis with platforms like Snowflake Cortex and Azure OpenAI.
• Automate engineering workflows using Python, Excel/VBA, and Power Automate.
• Lead technical design discussions, backlog refinement, and delivery planning.
• Ensure data quality, governance, security, and maintainability.

Skills

Python

SQL

AI/ML

Data engineering

English communication

Git/CI-CD

Education

Bachelor's/Master's in CS/IT/EE

Tools

Snowflake

Oracle SQL

Power BI

Power Automate

Copilot Studio

Azure OpenAI

Cortex

VS Code

Mendix

Excel VBA

Job description

Gas Turbine Digitalization Solutions Engineer

525555

19-Oct-2026

Research & Development

SIEMENS ENERGY INDIA LIMITED

A Snapshot of Your Day

As a Gas Turbine Digitalization Solutions Engineer . This position provides an exciting opportunity to work in a fast-paced, dynamic, global service Engineering environment.

As an experienced Digitalization & AI Engineer, you will be a key member of our global Service Engineering digitalization team. You will design, build, and scale data- and AI-driven solutions that help service engineers monitor the fleet, respond faster to service events, and make better decisions. You will own solutions end to end, from understanding engineering requirements to delivering production-ready tools used across organizations – while working closely with colleagues in Mexico, Europe, and the US.

How You'll Make an Impact

• Design, develop, and maintain digital solutions for Service Engineering, including fleet monitoring and analysis tools such as the Fleet Monitoring Tool, Service Response Intelligence (SRI), SEDOP, and Snowflake-based solutions and agents.
• Build and maintain data pipelines, data models, and analytics in Snowflake and relational databases (Oracle / SQL), integrating sources such as maintenance and service records (PCM), outage reports, and sensor data.
• Develop AI and GenAI solutions – agents, knowledge search / RAG, and LLM-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 together 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 demos, and support user adoption and stakeholder communication, including updates for leadership.

What You Bring

• Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, or Electrical / Electronic / Mechatronic / Mechanical Engineering.
• 5+ years of professional experience in software development, data engineering, or data / AI solutions in an Industrial, energy, or engineering environment.
• Hands‑on experience with cloud data platforms (Snowflake preferred) and relational databases (Oracle preferred), including data modeling and performance optimization.
• Proven experience delivering AI / ML or GenAI solutions to production (LLMs, prompt engineering, RAG, AI agents).
• Experience with Microsoft 365 and Power Platform (Copilot Studio, Power Automate, Power BI, SharePoint) and Excel / VBA automation.
• Experience developing applications with Mendix (low-code platform).
• Experience with AI-assisted (vibe coding) development using VS Code or Cortex Desktop.
• Knowledge of Alteryx is desirable.
• Solid software engineering practices: object-oriented design, Git, CI/CD, automated testing, and Agile / Scrum.
• Knowledge of power generation equipment (e.g., gas turbines) or service / maintenance data is a strong plus.
• High ownership and ability to work independently, with excellent communication skills for both technical and non-technical stakeholders.
• Excellent written and spoken English is a must.
• Willingness to work with partial time-zone overlap with Europe and the Americas.

About the Team (Power Generation)

In the large steam and gas turbine domain, we offer services and solutions for gas turbines, large steam turbines, large generators, and associated control technology. Our portfolio serves customers such as power utilities, Independent Power Producers (IPPs), Engineering Procurement and Construction (EPC) firms, and industrial clients. We provide a comprehensive range of offerings including maintenance, operation, digital services, modernization and upgradation, plant flexibilization, as well as control and digitalization solutions (digital control systems, field instruments, and equipment) and professional consulting.

Our power generation portfolio also includes industrial steam turbines (ranging from 10 kW to 250 MW), condensers, and service offerings designed to extend the lifespan and efficiency of industrial steam turbines through heat recovery solutions. We cater to a wide range of process industries—including oil and gas, chemicals, petrochemicals, paper & pulp, sugar & ethanol, and marine—helping customers reduce energy consumption and greenhouse gas emissions. A key focus area is delivering integrated industrial decarbonization solutions built on electrification, automation, and digitalization, while supporting sustainability through carbon-optimized energy systems and hydrogen generation.

Who is Siemens Energy India?

Siemens Energy India Limited (SEIL) has been a strategic partner in India for more than 100 years and is focused on being the most-valued energy technology company. Our large footprint spread across the entire region (India, Sri Lanka, Bhutan, Nepal, Maldives) with state-of-the-art facilities and customers installations positively impacts the lives of hundreds of millions of people, helping the countries navigate their energy transition and achieve its net zero targets.

SEIL is a pure play energy technology company, offering a comprehensive portfolio of products, solutions, and services designed to support our customers along the entire energy value chain to go through their energy transition journey and achieve their net zero targets. Our portfolio offering includes low to zero emissions power generation, power transmission and storage, and decarbonization of the industry. More information on: www.siemens-energy-india.com

Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo

Our Commitment to Diversity

Lucky for us, we are not all the same. Through diversity, we generate power. We run on inclusion and our combined creative energy is fueled by #TeamPurpleIndia. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.