Senior Agentic AI Engineer (IBM Watson Orchestrate & 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. Candidate must have relevant experience of 7 to 10 Years.

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.
- Work closely with architects and product owners to translate business requirements into technical designs.
- Perform code reviews, provide technical guidance, and support continuous improvement of engineering practices.
- Troubleshoot and resolve complex issues related to agentic workflows, ontologies, and data integration.
- Document technical designs, workflows, ontologies, and data models for maintainability and knowledge sharing.

Other Capabilities

- Strong understanding of digital application development and cloud engineering principles.
- Ability to work in an agile environment and collaborate effectively with globally distributed teams.
- Strong problem-solving skills with a focus on scalability, performance, and reliability.
- Excellent communication skills to explain complex technical concepts to non-technical stakeholders.
- Ability to mentor junior engineers and contribute to technical decision-making.
- Adaptability to learn and apply emerging tools and frameworks in agentic and ontology-driven development.

Qualifications and Skills

- Bachelor s or Master s degree in Computer Science, Information Technology, or a related field.
- 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).
- Familiarity with RESTful APIs, microservices, and event-driven architectures.
- 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.