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Job Summary:

We are seeking an experienced AI Developer with expertise in Large Language Models (LLMs), ontologies, and knowledge graphs to join our team. This role will focus on developing AI-driven solutions that leverage LLMs, ontologies, and semantic knowledge representation to improve knowledge discovery, question-answering, and information retrieval. The ideal candidate is skilled in building scalable and intelligent systems and is passionate about semantic technologies and AI innovation.

Responsibilities:

Design, develop, and deploy AI applications that leverage LLMs for tasks such as natural language understanding, question-answering, and contextual content generation.
Build and maintain knowledge graphs and ontologies to structure and semantically integrate domain-specific knowledge, enhancing data interoperability.
Collaborate with data scientists, subject matter experts, and engineers to define, model, and implement ontologies that align with business requirements.
Develop tools and pipelines to ingest, transform, and link data from diverse sources into a unified knowledge graph.
Use LLMs to augment the knowledge graph, improve data retrieval, and enhance user interactions with the system.
Implement and optimize NLP models, algorithms, and processing pipelines to ensure efficient, scalable, and accurate performance.
Research and apply the latest advancements in knowledge representation, LLMs, and semantic search technologies to enhance the applications capabilities.
Document development processes, architecture, and APIs to ensure maintainability and knowledge sharing.

Education:

Bachelor’s or Master’s degree (Preferred) in Computer Science, Data Science, Artificial Intelligence, or a related field.

Qualifications:

6-10+ years of professional experience in the related fields including Software Development Life Cycle (SDLC)
3 - 5 years of proven experience in developing AI application with large language models (e.g., OpenAI, BERT, GPT-3/4) and natural language processing techniques.
Strong background in knowledge representation and semantic technologies, including ontologies, RDF, OWL, and SPARQL.
Proficiency in programming languages like Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
Excellent analytical and problem-solving skills, with a keen attention to detail.
Strong communication skills and the ability to work collaboratively in a cross-functional team environment.

Preferred Skills:

Experience with retrieval-augmented generation (RAG) frameworks or applications.
Experience with graph databases (e.g., Neo4j, AWS Neptune) and knowledge graph construction.
Familiarity with data integration, data cleaning, and linking methodologies.
Knowledge of MLOps practices, cloud platforms (AWS, Azure, GCP), and deployment of AI models in production.
Familiarity with knowledge base management, content indexing, and search optimization techniques.
Understanding of data governance, privacy, and security practices in the context of knowledge graphs and AI.

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 youd expect from a world leader in industrial software.

A collection of over 377,000 minds building the future, one day at a time in over 200 countries. Were dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow!

Siemens Software. Transform the Everyday

The salary range for this position is $126,100 to $227,000 and this role is eligible to earn incentive compensation. The actual compensation offered is based on the successful candidate’s work location as well as additional factors, including job-related skills, experience, and relevant education/training. Siemens offers a variety of health and wellness benefits to employees. Details regarding our benefits can be found here: www.benefitsquickstart.com. In addition, this position is eligible for time off in accordance with Company policies, including paid sick leave, paid parental leave, PTO (for non-exempt employees) or non-accrued flexible vacation (for exempt employees).

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Equal Employment Opportunity Statement
Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.

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