Senior Software Engineer - Knowledge Graph

Location : Hybrid Louisville, CO 1x per week.

The Senior Software Engineer will focus on Knowledge Representation and 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 that interact with intelligent systems to meet the challenges GHX faces in assuring affordable quality healthcare for all.

Reporting to the Director, Data Science, the position will design and build classical and modern 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 be focused on the design and implementation of graphical structures that interact with other data stores and AI solutions including generative and rule based.

The position is part of 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.
• Design & develop scalable graph structures and databases to capture, store and query structured, semi-structured and unstructured data.
• Design and maintain ontologies and data architectures to represent complex relationships and entities.
• Integrate graph solutions with other data stores and technologies.
• Leverage LLMs / GenAI and rules engines for data I / O and data curation.
• Handle multimodal data to incorporate text, images, videos, tables, graphs, rules, etc., into the knowledge representation system.
• Proactively explore new techniques and emerging trends to drive adoption of new solutions.
• Develop and maintain software tools to support knowledge representation needs.
• Implement tools for evaluating and monitoring solution performance.
• Invent and deploy novel solutions with maintainable APIs to suit stakeholder needs.
• Adhere to sound software engineering practices.

Competencies :

• Solid foundational understanding and application of Computer Science principles.
• Proficiency in knowledge graph technologies (e.g., RDF, LPG, SPARQL, Cypher)
• Understanding of data modeling, ontology design, data architecture
• Familiar with LLMs and other machine learning solutions.
• Familiar with all steps of SDLC and software development best practices.
• Excellent software engineering skills including unit testing, modular problem decomposition, multiple solution integration, etc.
• Fluent with scripting and query languages.
• Requires minimal to no supervision.

Required Qualifications and Skills :

• Computer Science or hard sciences bachelor’s degree.
• Greater than 3 years working as a software engineer or data scientist.
• High level of expertise with one or more Graph query languages (SPARQL, Cypher, Gremlin) and the associated Graph Databases.
• Experience with Tabular (SQL), Document (NoSQL), and Vector / Semantic databases and their interactions with Graph DBs.
• Expertise with Python & SQL.
• Experience with AWS cloud resources (S3, EC2, ECS, Lambda).
• Experience with Docker or other container services.
• Specification and creation of APIs and microservices.

Preferred Qualifications and Skills :

• Passion to stay on the cutting edge in knowledge representation solutions.
• Experience with Generative AI solutions.
• Sense of humor.

Estimated Salary Range for this position : $127,000 to $164,500

The base salary range represents the anticipated low and high end of the GHX’s salary range for this position. The base salary is one component of GHX’s total compensation package for employees.

Other rewards and benefits include : health, vision, and dental insurance, accident and life insurance, 401k matching, paid-time off, and education reimbursement, to name a few.