Role 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 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, MCP servers, to suit stakeholder needs. - Adhere to sound software engineering practices. Qualifications - 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 and agentic 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. Requirements - Minimum 8 years working as a software engineer or data scientist, 6 years with a Master’s degree. - 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 - Computer Science or hard sciences Bachelors degree. - Passion to stay on the cutting edge in knowledge representation solutions. - Experience with Generative AI solutions. - Sense of humor. Benefits - Estimated salary range for this position: $114,000 - $152,000. Company Description Global Healthcare Exchange (GHX) enables better patient care and billions in savings for the healthcare community by maximizing automation, efficiency and accuracy of business processes. GHX is a healthcare business and data automation company, empowering healthcare organizations to enable better patient care and maximize industry savings using our world class cloud-based supply chain technology exchange platform, solutions, analytics and services. We bring together healthcare providers and manufacturers and distributors in North America and Europe - who rely on smart, secure healthcare-focused technology and comprehensive data to automate their business processes and make more informed decisions. It is our passion and vision for a more operationally efficient healthcare supply chain, helping organizations reduce - not shift - the cost of doing business, paving the way to delivering patient care more effectively. Together we take more than a billion dollars out of the cost of delivering healthcare every year. GHX is privately owned, operates in the United States, Canada and Europe, and employs more than 1000 people worldwide. Our corporate headquarters is in Colorado, with additional offices in Europe.

• Desenvolvimento de soluções de TI • Desenvolvimento de aplicativos Android, utilizando Android SDK • Integração com API RESTFUL e WEB SERVICES SOAP • Desenvolvimento HÍBRIDO (HTML5, CSS e Javascript)

• Compor o time de desenvolvimento, assumindo itens de trabalho para desenvolvimento a cada Sprint. • Realizar as atividades inerentes ao desenvolvimento – ênfase em programação - tais como análise e design, testes e programação e requisitos. • Gerir seu próprio trabalho sinalizando prontamente para a equipe sobre eventuais atrasos ou outros impedimentos.

• Develop, maintain, and optimize stored procedures used in analytical processes and data integrations for BI environments. • Create high-performance SQL queries to support reports, metrics, and management dashboards. • Implement and maintain ETL processes and data load routines. • Collaborate with BI teams and business stakeholders to gather requirements, analyze scenarios, and define technical solutions. • Analyze, diagnose, and resolve issues related to query and database process performance. • Ensure the quality, integrity, and consistency of data provided in analytical environments. • Support maintenance, evolution, incident resolution, and continuous improvement of database processes. • Contribute to optimizing data structures and improving the organization’s analytical routines.