We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Data Engineer III at JPMorgan Chase within the Technology and Data Management team, you will have an exciting and rewarding opportunity to take your software engineering career to the next level. You will be part of a dynamic team, applying your expertise in ontologies and generative AI to design and implement complex AI-promote solutions. This role offers the chance to collaborate with cross-functional teams, conduct research on the latest advancements, and provide technical leadership and mentorship, all while contributing to the organization's knowledge management initiatives.

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Develop and maintain ontologies to support the organization's knowledge management initiatives.
• Design and implement scalable knowledge bases using knowledge graph technologies.
• Apply generative AI techniques to enhance the organization's data processing and information retrieval capabilities.
• Collaborate with cross-functional teams to integrate AI-driven solutions into existing systems and workflows.
• Conduct research and stay updated on the latest advancements in ontologies, knowledge graphs, and generative AI.
• Provide technical leadership and mentorship to junior team members in the areas of ontologies and AI.
• Evaluate and select appropriate tools and technologies for building and maintaining knowledge graphs.
• Ensure the quality, accuracy, and consistency of the knowledge base and its associated ontologies.

Required qualifications, capabilities, and skills

• Formal training or certification on ontologies concepts and 3+ years applied experience
• Expertise in generative AI techniques and their application in real-world scenarios.
• Strong programming skills in languages such as Python, Java, or similar.
• Familiarity with tools and frameworks like RDF, OWL, SPARQL, and graph databases(Neo4j, Tiger Grpah etc)
• Excellent problem-solving skills and the ability to work independently and collaboratively.
• Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders.

Preferred qualifications, capabilities and skills:

• Experience with machine learning frameworks and libraries.
  Knowledge of natural language processing (NLP) and its integration with knowledge graphs.