A Snapshot of your day

Your day involves designing, building, and operating intelligent systems that monitor, diagnose, and optimize enterprise data pipelines, with a focus on energy operations and power plant environments such as Combined Cycle Power Plants (CCPPs). You leverage AI engineering expertise and a reliability mindset to ensure high-quality, trusted data at scale while using GenAI technologies to enhance productivity, documentation quality, and knowledge accessibility across various teams, all while maintaining safety, compliance, and engineering integrity.

How You'll Make An Impact

Design, build, and operate AI-driven systems for data monitoring, diagnostics, root cause analysis, and automated remediation, ensuring data reliability and quality at scale.
Develop and integrate AI agents with ETL pipelines, data platforms, and enterprise systems, while collaborating with data engineering, platform, and operations teams.
Ensure compliance with Siemens Energy's responsible AI policies, prioritizing safety, ethics, cybersecurity, and regulatory standards.
Educate stakeholders on AI limitations, such as hallucinations, contextual uncertainty, and appropriate use in engineering processes.
Apply domain knowledge of Combined Cycle Power Plant (CCPP) operations, including gas turbines, steam turbines, HRSG processes, and operational risk management.
Enable AI-supported knowledge access and analysis across diverse documentation sources, enhancing information retrieval, summarization, and cross-document insights.

What You Bring

Education & Technical Expertise: Advanced degree in computer science, data engineering, or related field with extensive experience in AI/ML engineering, multi-agent frameworks, LLM-based systems, Python, SQL, ETL pipelines, data warehouses, and cloud platforms.
AI & Data Engineering: Proficient in agentic AI frameworks, LLM orchestration, prompt engineering, data reliability, observability tools, anomaly detection, and automation of data pipelines.
Industry Experience: Strong background in energy, utilities, or industrial environments, with exposure to power plant operations (preferably CCPP) and enterprise documentation systems like CMMS, DMS, and technical repositories.
Preferred Qualifications: Experience with reliability engineering, DataOps, MLOps, diagnostic AI systems, and industrial data environments, with a focus on digital transformation, AI enablement, and automation.
Domain Knowledge & Quality Focus: Deep understanding of asset-intensive operational processes, CCPP operations, and documentation practices, combined with a strong safety, quality, and compliance mindset.
Communication & Consulting Skills: Excellent communication, coaching, and stakeholder enablement skills, with a structured, analytical, and service-oriented working style.

About The Team

Our Gas Services division offers Low-emission power generation through service and decarbonization. Zero or low emission power generation and all gas turbines under one roof, steam turbines and generators. Decarbonization opportunities through service offerings, modernization, and digitalization of the fleet.

Who is Siemens Energy

At Siemens Energy, we are more than just an energy technology company. With 100,000 dedicated employees in more than 90 countries, we develop energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.

Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.

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 over 130 nationalities. 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.

Rewards/Benefits

Opportunities to work with a global team
Opportunities to work on and lead a variety of innovative projects
Medical benefits
Access to a variety of employee resource groups
Competitive Salary Package

https://jobs.siemens-energy.com/jobs

Midlevel AI & Data Engineer

AI & Data Engineer

Lead AI Engineer - Data Reliability