Siemens Energy

Senior Solution Architect - AI

Join Siemens Energy as a Senior Solution Architect - AI in Portugal, India, or Romania. Lead design and deployment of scalable Generative AI solutions, mentor teams, and work in a flexible, inclusive environment with growth opportunities.
Siemens Energy
Siemens Energy
Hybrid Full time UTC+00:00 – UTC+05:30

Siemens Energy

Company Overview

Name

Siemens Energy AG

Headquarters

Munich, Germany

Founded

2020

Size

Approximately 96,000 employees worldwide (source: siemens-energy.com). Revenue of 31 billion euros in fiscal year 2023 (source: siemens-energy.com).

What They Do

Siemens Energy focuses on energy technology across the entire value chain, including power generation, transmission, and storage. Core areas include gas turbines, steam turbines, hybrid power plants with hydrogen, power generators, transformers, and renewable technologies led by Siemens Gamesa Renewable Energy (SGRE). This positioning makes the company a global leader in wind energy, with technologies estimated to support about one-sixth of the world's electricity generation (source: siemens-energy.com). The products and services include both conventional and renewable energy solutions, such as onshore and offshore wind turbines from SGRE, grid infrastructure, and hydrogen electrolysis systems that help customers reduce carbon emissions and enhance efficiency through integrated systems for resilient energy grids (source: energydigital.com).

Projects & Track Record

Notable completed projects include the first power plant in South Africa, built in 1895 by Siemens' predecessors, as well as the introduction of high-voltage direct current systems in 1903. Modern achievements include the manufacturing of critical components for regional energy centers and supporting one-sixth of global electricity through its technologies (source: energydigital.com). Current major projects include a 280-megawatt electrolysis system being delivered to the utility EWE in Germany, expected to produce up to 23,000 tons of green hydrogen annually. Additionally, there are localization efforts such as the Siemens Energy Dammam Hub in Saudi Arabia for component manufacturing to strengthen resilient energy sectors (source: energydigital.com).

Recent Developments

In the past two years, Siemens Energy reported strong results for fiscal year 2023 with a revenue of 31 billion euros, despite challenges in the wind business. The company achieved all annual targets and set goals for 2028, aiming for a profit margin of 14-16% before special items and annual revenue growth in the low double digits (source: siemens-energy.com). Recent announcements include securing an investment-grade rating from Moody’s and agreements to accelerate wind order growth. By the end of 2025, 85% of revenue for fiscal year 2026 and 60% for 2027 had already been secured (source: siemens-energy.com).

Working There

Siemens Energy offers positions in engineering, project management, manufacturing, sales, research and development, as well as leadership roles. Departments include Gas Services, Grid Technologies, Siemens Gamesa (Wind), Hydrogen, and corporate areas for finance, execution, and innovation. The corporate culture emphasizes a decentralized approach that has been maintained since the spin-off, with CEO Christian Bruch highlighting the passion of "Team Purple" for energy challenges and innovation in Berlin (source: siemens-energy.com). Hiring occurs at key locations in Germany, including Berlin, Erlangen, and Mülheim, as well as at global expansion sites to meet the high demand for electrification and wind remediation roles (source: siemens.com).


Last updated on Jul 28, 2026 | Report an issue

Job Description

You will work as a hands-on technical leader driving the design, development, and deployment of production-grade Generative AI solutions across enterprise and industrial domains. You will collaborate closely with product managers, data scientists, engineers, and business stakeholders to translate complex business needs into scalable, secure, and reusable AI architectures on cloud platforms. Your day will involve architectural decision-making, technical mentorship, solution design reviews, and guiding teams from proof-of-concept to production.

How You'll Make an Impact

  • Lead the end-to-end architecture and implementation of Generative AI solutions, from ideation to production deployment.
  • Design scalable, reusable cloud-based architectures for AI and GenAI workloads.
  • Build and evolve advanced Retrieval-Augmented Generation (RAG) frameworks and multi-agent systems.
  • Provide technical leadership and mentorship to engineering teams.
  • Collaborate with product managers and stakeholders to define requirements and delivery milestones.
  • Ensure solutions meet enterprise standards for security, reliability, and performance.
  • Identify and mitigate technical risks to enable smooth production releases.
  • Drive adoption of MLOps best practices for model lifecycle management.

What You Bring

  • Master's degree in Computer Science, Engineering, or a related technical field.
  • 8+ years of experience in software engineering, data science, with minimum 4+ years' experience in AI-related roles.
  • Proven experience delivering production-grade Generative AI solutions using LLMs.
  • Strong expertise in Python and modern AI/ML frameworks.
  • Hands-on experience with RAG, multi-agent, and graph-based AI architectures.
  • Experience with Azure OpenAI, AWS SageMaker is must.
  • Strong background in MLOps platforms such as MLflow and Kubeflow.
  • DevOps experience in OpenShift will be a major advantage.
  • Experience with API design using FastAPI.
  • Knowledge of SQL, NoSQL, and vector databases.
  • Excellent communication and stakeholder management skills.

About the Team

Our Transformation of Industry division is decarbonizing the industrial sector. Increasing electrification and efficiency are key, and demand for green hydrogen and derivative fuels will rise. We enable the decarbonization of the industrial sector and the transition to sustainable processes by building on a strong industrial customer base, a global network, diverse technologies, and integrated execution capabilities.

The Data & Artificial Intelligence team develops and operates digital and AI solutions that support business transformation. The team brings together AI engineering, data, cloud, architecture, and software development capabilities to convert business requirements into secure, scalable, and operational solutions.

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

  • Flexible and hybrid working environment
  • Opportunities for continuous professional and personal development
  • Collaborative and inclusive international work environment
  • Access to learning, training, and knowledge-sharing opportunities
  • Competitive local benefits
  • Opportunities to work with innovative technologies and contribute to impactful projects

Apply now

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About the role

August 27, 2026

August 27, 2026

Full time

Hybrid

Company

Hydrogen

Siemens Energy

siemens-energy.com

  •  Amadora, Portugal
  •  Pune, India
  •  Lisbon, Portugal
  •  Bucharest, Romania

Professional / Experienced

UTC+00:00 – UTC+05:30