Software Developer - Knowledge Graphs
Introduction
At IBM, we're reimagining how networks think, reason, and heal themselves. Our Network Intelligence (INI) product brings AI-driven reasoning and automation to enterprise and telecom operations-combining time-series foundation models, agentic frameworks, and domain-aware knowledge graphs.
We're looking for a Knowledge graph developer / engineer to help build the semantic core of this product.
You'll balance the precision of a knowledge engineer with the pragmatism of a distributed-systems developer-turning ontologies into production-ready components that power real-world reasoning, correlation, and automation.
Your role and responsibilities
1. Build semantic foundations for AI reasoning
- Design and deliver domain-independent ontologies and knowledge graphs using a structured ontology pipelines (vocabulary → metadata → taxonomy → ontology → graph).
- Capture relationships, causal links, and operational context across network and service data.
- Ensure the resulting semantic models can support deterministic reasoning, explainable AI, and automated decision-making.
2. Engineer for scale and integration
- Develop and maintain APIs, pipelines, and microservices that operationalize ontologies and knowledge graphs in distributed AI environments.
- Integrate graph-driven reasoning into INI's agentic and LLM-based frameworks.
- Apply sound software-engineering practices-versioning, testing, CI/CD-to semantic components.
3. Collaborate across disciplines
- Work with network subject-matter experts to capture key operational relationships.
- Partner with data scientists to align graph structures with event, metric, and time-series data.
- Co-design reasoning workflows with AI engineers integrating large language models, retrieval, and inference components.
- Operate in a fast-shipping product team where ontologies evolve alongside feature releases.
4. Govern, validate, and iterate
- Implement ontology governance, quality metrics, and performance validation.
- Measure semantic accuracy, reasoning precision, and end-to-end impact on automation outcomes.
- Balance conceptual rigor with product agility-building systems that work, not just models that theorize.
Your Impact on IBM Network Intelligence
You'll define how AI understands networks-how it infers, reasons, and explains decisions in a transparent, traceable way.Your work will form the semantic trust layer for AI-driven network operations, helping enterprises and telecoms move from reactive monitoring to proactive, autonomous intelligence.
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You'll collaborate with some of IBM's most talented AI researchers, data scientists, and network engineers, in an environment where ideas move rapidly from design to deployment.
Why Join Us
- Work on a pioneering AI product shaping the future of network autonomy.
- Collaborate with global experts across AI, networking, and semantic systems.
- Ship meaningful, high-impact features that reach live enterprise and telecom environments.
- Build your career in a team that values engineering excellence, scientific rigor, and creative experimentation.
Required education
Bachelor's Degree
Preferred education
Master's Degree
Required technical and professional expertise
- Strong experience in knowledge engineering (ontologies, taxonomies, semantic modeling).
- Proven software engineering background, preferably in distributed or data-intensive systems.
- Proficiency in at least one programming language (Python, Java, Go, etc.) and comfort with modern development toolchains.
- Experience building or consuming knowledge graphs or graph-based data systems.
- Strong systems-thinking and problem-solving ability-able to translate abstract relationships into production logic.
- Excellent communication and collaboration skills in multi-disciplinary environments.
Preferred technical and professional experience
- Familiarity with enterprise or telecom network operations, data models, or monitoring systems.
- Experience integrating semantic or graph systems with AI/ML pipelines or reasoning agents.
- Understanding of event-driven or time-series data representation.
- Curiosity to learn new technical domains and distill them into structured intelligence.
- Balance between rigor and pragmatism-able to build, test, and iterate quickly without losing semantic integrity.
ABOUT BUSINESS UNIT
IBM Software infuses core business operations with intelligence-from machine learning to generative AI-to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. IBM's AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. IBM's hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments-a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business.
YOUR LIFE @ IBM
In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.
Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.
Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.
Are you ready to be an IBMer?
ABOUT IBM
IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.
Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.
At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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