Software Architect

Job description

Siemens Digital Industries Software - Where today meets tomorrow.

Siemens Digital Industries (DI) is an innovation leader in automation and digitalization. Closely, collaborating with partners and customers, we care about the digital transformation in the process and discrete industries. With our Digital Enterprise portfolio, we provide and encourage companies of all sizes with an end-to-end set of products, solutions and services to integrate and digitalize the entire value chain. Meaningful optimization for the specific needs of each industry, our outstanding portfolio supports customers to achieve greater efficiency and flexibility. We are constantly adding innovations to its portfolio to integrate groundbreaking future technologies. We have our global headquarters in Nuremberg, Germany, and have around 75,000 employees internationally.

We're seeking a dynamic and seasoned engineer to join our technology and innovation team. This individual will have a pivotal role in designing and creating new technologies by working closely with data scientists, developers, and domain experts. Responsibilities will involve refining problem statements, validating AI solutions, and ensuring they align with the organization's objectives.

Responsibilities

• Collaborate with Data Scientists and Engineers within the team to design and implement AI/ML pipelines, models, and components, which will form the foundation of Siemens' next-generation AI-powered products and services.
• Work closely with peers and partners, including software engineers, product managers, and domain experts, to ensure that AI innovations are swiftly transitioned into production while adhering to all Siemens Industrial Grade requirements.
• Take the lead in architecting and developing innovative AI/ML solutions.
• Develop systems architecture, technical roadmaps, and prototypes.
• Create, test, and deploy AI models into production using AWS/Azure services.
• Serve as an expert in Generative AI and Machine Learning.
• Provide coaching and mentorship to junior data scientists and analysts.
• Continuously explore new AI techniques and methodologies to foster innovation.

Qualifications

• BSc, MSc, or PhD degree in computer science, computer engineering, or a related field, with a focus on Machine Learning and/or Artificial Intelligence.
• +7 years of industry experience, applying AI/ML techniques, including model and pipeline development, within the product/service/solution development lifecycle.
• +3 years of hands-on experience in web application development.
• Proficient in Python and PyTorch (or TensorFlow), with familiarity in model training recipes and pipelines.
• Familiarity with Generative AI technologies such as OpenAI, Azure OpenAI, and open-source Large Language Models is highly desirable.
• Experience with Azure Machine Learning (or AWS SageMaker) and other cloud-based solutions integral to an AI ecosystem.
• Experience with MLOps / LLMOps pipelines and strong engineering practices throughout all phases of AI/ML development.
• Demonstrate strong written and oral communication skills, effective presentation abilities, and a proficient command of English.

Why us?

Working at Siemens Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

At Siemens, we are always challenging ourselves to build a better future. We need the most innovative and diverse Digital Minds to develop tomorrow‘s reality.

Siemens Industry Software is an equal opportunities employer and does not discriminate unlawfully on the grounds of age, disability, gender assignment, marriage, and civil partnership, pregnancy and maternity, race, religion or belief, sex, sexual orientation, or trade union membership.

If you want to make a difference – make it with us!