AI Integration & Deployment Engineer
SiemensTurkey8 hours ago
Full-timeRemote FriendlyResearch
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Siemens Gebze factory is the lead factory for Air Insulated Switchgear production in Siemens World and exporting to more than 80 countries worldwide! We are searching for a “AI Integration & Deployment Engineer”. You will join an exciting team and develop world-class solutions in a manufacturing facility. A great opportunity to experiment the harmony of code and real life!
The successful candidate will be responsible for integrating AI-driven solutions and large language models (LLMs) into existing digital platforms, ensuring secure, scalable, and efficient deployment within an industrial environment.
This position requires strong technical expertise in backend development, AI service integration, and deployment orchestration. The ideal candidate will play a key role in bridging artificial intelligence capabilities with enterprise-level systems to accelerate digitalization and automation initiatives.
Additionally, the role involves designing AI-driven data understanding layers — tagging, classifying, and enriching existing database records to enable semantic search and complex natural language queries across structured and unstructured data sources.
The engineer will help establish intelligent data pipelines that transform conventional SQL-based repositories into AI-accessible knowledge layers, supporting context-aware query generation and advanced analytics.
Responsibilities
“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.
As Siemens we believe physical barriers are not related to potential. Only the potential matters to us. Therefore, we look forward to receiving applications from candidates with physical barriers and chronic illnesses. We support healthy relationships between candidates with barriers and their colleagues because we believe we can create differences together.
Siemens is dedicated to quality, equality, and valuating diversity and we welcome applications that reflect the diversity of the communities within which we work.
We are looking forward to receiving your online application. Please ensure you complete all areas of the application form to the best of your ability as we will use the data to review your suitability for the role.
Please find more information from our web site:
https://new.siemens.com/tr/tr.html
The successful candidate will be responsible for integrating AI-driven solutions and large language models (LLMs) into existing digital platforms, ensuring secure, scalable, and efficient deployment within an industrial environment.
This position requires strong technical expertise in backend development, AI service integration, and deployment orchestration. The ideal candidate will play a key role in bridging artificial intelligence capabilities with enterprise-level systems to accelerate digitalization and automation initiatives.
Additionally, the role involves designing AI-driven data understanding layers — tagging, classifying, and enriching existing database records to enable semantic search and complex natural language queries across structured and unstructured data sources.
The engineer will help establish intelligent data pipelines that transform conventional SQL-based repositories into AI-accessible knowledge layers, supporting context-aware query generation and advanced analytics.
Responsibilities
- Design, implement, and maintain AI-powered integrations within enterprise digital platforms
- Develop RESTful APIs and backend microservices for connecting internal systems with AI services
- Manage the deployment lifecycle of AI components using Docker, Kubernetes, and CI/CD pipelines
- Build AI orchestration pipelines including prompt processing, intent mapping, and data retrieval mechanisms
- Ensure adherence to corporate standards on data privacy, access control, and cybersecurity
- Conduct functional and performance testing of deployed AI services
- Monitor and continuously optimize AI workloads in production environments
- Design data labeling and embedding strategies to make enterprise datasets searchable through AI.
- Bachelor’s or Master’s degree in Computer Engineering, Software Engineering, Electrical-Electronics, or Artificial Intelligence
- (Must have)Proven experience in delivering AI-driven integration or deployment projects in a production or enterprise environment, demonstrating measurable results or operational impact
- Proficiency in modern programming languages and frameworks commonly used for API and backend development (e.g., Python, JavaScript, or similar technologies)
- Hands-on experience with OpenAI, Azure OpenAI, Anthropic, or Hugging Face APIs
- Working knowledge of relational or analytical databases (e.g., MySQL, Snowflake)
- Understanding of vector databases (e.g., Pinecone, Weaviate, FAISS) and semantic search principles
- Experience working in secure, large-scale enterprise software environments
- Familiarity with prompt engineering and model tuning concepts
- Experience in transforming tabular and textual datasets into knowledge graphs or AI-queryable structures
- Speaking up Culture
- Respectful Workplace
- Being part of a global work environment
- Attractive remuneration package
- Excellent recognition tools providing spot awards
- Learning & Development opportunities for both personal and professional growth
- Leave days for parents and a variety of flexible working models that allow time off for yourself and your family
- Creche allowance for mothers
- Share matching programs to become a shareholder of Siemens AG
- Remote working and remote living flexibility only for relevant positions
- Find more benefits here
“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.
As Siemens we believe physical barriers are not related to potential. Only the potential matters to us. Therefore, we look forward to receiving applications from candidates with physical barriers and chronic illnesses. We support healthy relationships between candidates with barriers and their colleagues because we believe we can create differences together.
Siemens is dedicated to quality, equality, and valuating diversity and we welcome applications that reflect the diversity of the communities within which we work.
We are looking forward to receiving your online application. Please ensure you complete all areas of the application form to the best of your ability as we will use the data to review your suitability for the role.
Please find more information from our web site:
https://new.siemens.com/tr/tr.html
Key Skills
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