GHX
Healthcare
SrSoftwareEngineer-KnowledgeRepresentation(OntologyandMLEngineer)
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr Software Engineer - Knowledge Representation (Ontology and ML Engineer) at GHX. Skills: Knowledge Representation, Ontology, Graph Databases, Machine Learning. Collaborate with stakeholders. Understand needs and challenges”
Industry & Context.
Modular problem decomposition; Multiple solution integration
What They're Looking For.
Must Have
8 years software engineer or data scientist, 6 years with Master's degree, Expertise with SPARQL, Cypher, or Gremlin, Expertise with Python & SQL, Experience with AWS cloud resources, Experience with Docker or container services, Specification and creation of APIs, Specification and creation of microservices
Nice to Have
Computer Science or hard sciences Bachelors degree, Experience with Generative AI solutions
What You'll Do.
Collaborate with stakeholders
Understand needs and challenges
Translate needs into solutions
Design scalable structures
Develop scalable structures
Capture structured data
Store structured data
Query structured data
Capture semi-structured data
Store semi-structured data
Query semi-structured data
Capture unstructured data
Store unstructured data
Query unstructured data
Represent complex relationships
Represent complex entities
Mentor junior engineers
Integrate graph solutions
Leverage rules engines
Handle multimodal data
Incorporate text data
Incorporate image data
Incorporate video data
Incorporate table data
Incorporate graph data
Incorporate rule data
Explore new techniques
Drive adoption of solutions
Develop software tools
Maintain software tools
Implement evaluation tools
Implement monitoring tools
Invent novel solutions
Deploy novel solutions
Create maintainable APIs
Adhere to software engineering practices
How You'll Work.
Team & Collaboration
Internal and external stakeholders; Users; Developers; Product managers; Leadership
Process & Methodology
SDLC
Full Job Description
The Sr Software Engineer focusing on Knowledge Representation will play a key role in maintaining GHX’s position at the forefront of AI solutions in Healthcare. This role will be responsible for applying modern methods for knowledge representation including ontology creation that interact with intelligent systems to meet the challenges GHX faces in assuring affordable quality healthcare for all. This Engineer will define, design and curate the key ontological structures needed in the Health Care Supply Chain using data driven, ML and agentic approaches. They will leverage graph, table, document and vector store capabilities that interact with AI solutions and make sense of diverse internal and external data. This is a key strategic role in GHX’s AI strategy, assuring correct and complete information while supporting explainability and transparency. The role will primarily be focused on the design and implementation of ontology and graphical structures that interact with other data stores as well as AI solutions including generative and rule based. They will join a team that is tasked with leading GHX through a transformational change and solidifying its role as the leader in AI in the Healthcare Supply Chain. Essential Duties: Collaborate with internal and external stakeholders including users, developers, product managers, leadership, etc., to understand needs and challenges and translate these into solutions. Lead, design & develop scalable structures and databases to capture, store and query structured, semi-structured and unstructured data. Lead, design and maintain ontologies and data architectures to represent complex relationships and entities. Mentor junior engineers. Integrate graph solutions with other data stores and technologies. Leverage LLMs/GenAI and rules engines for data I/O and data curation. Multimodal data handling: incorporate text, images, videos, tables, graphs, rules, etc., into the knowledge representation system. Proactively explore new tec
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