AWS Agentic Frameworks (LangGraph) Developer

• IBM Watson orchestrate agentic development
• Langraph agentic development
• Stardog ontology
• Apache zena ontology creation
• Big query db design

Sr. Software Engineer – AWS Agentic Frameworks (LangGraph)

Responsible for designing, developing, and implementing agentic solutions using IBM Watson Orchestrate and LangGraph on cloud-native architectures. The role involves building scalable digital applications, integrating ontologies with Stardog and Apache Zena, and designing efficient data models on BigQuery to support intelligent, data-driven systems. 

Key Responsibilities

- Design and develop agentic workflows and solutions using IBM Watson Orchestrate.
- Implement and maintain LangGraph-based agentic frameworks for complex digital applications.
- Collaborate with cross-functional teams to integrate agentic capabilities into existing and new cloud solutions.
- Design and develop Stardog ontology models to support knowledge representation and reasoning.
- Create and manage ontologies using Apache Zena for semantic data modeling and integration.
- Design, optimize, and maintain BigQuery database schemas to support analytics and agentic workflows.
- Ensure scalability, performance, and reliability of cloud-based agentic applications on AWS.
- Implement best practices for cloud-native development, including CI/CD, monitoring, and observability for agentic services.
- Perform code reviews, provide technical guidance, and support continuous improvement of engineering practices.

Skills

- Proven experience in Digital Application & Cloud Engineering.
- Hands-on experience with AWS and cloud-native architectures.
- Strong experience with AWS - Agentic Frameworks - LangGraph (Technical).
- Experience with IBM Watson Orchestrate agentic development.
- Experience with LangGraph agentic development for building intelligent workflows.
- Experience in Stardog ontology modeling and management.
- Experience in Apache Zena ontology creation and semantic modeling.
- Strong expertise in BigQuery database design and optimization.
- Proficiency in at least one modern programming language commonly used in cloud and agentic solutions (such as Python, Java, or Node.js).
- Experience with CI/CD pipelines, version control, and automated testing in a cloud environment.
- Knowledge of data modeling, knowledge graphs, and semantic technologies is highly desirable.