IT - Technology Architect | Big Data - NoSQL | Graph Databases

Role Overview: Senior Agentic Platform Engineer to act as the lead architect and hands-on contributor for the Intelligence Layer. The role focuses on building production-ready agentic AI systems, integrating multi-agent orchestration with enterprise knowledge graphs and trusted data platforms., Design and implement multi-agent architectures using LangGraph, including stateful workflows and Human-in-the-Loop checkpoints. Develop ontology-to-schema pipelines mapping enterprise ontologies (OWL / SKOS) into TigerGraph. Build and optimise graph-based intelligence using TigerGraph and GSQL. Materialise trusted data products in Snowflake using dbt, including Data Quality and trust-score automation. Develop internal and external AI agents supporting Data Operations and governed insights. Support CI/CD pipelines and production deployment for agentic AI systems. Key Skill Set (Filtering Criteria) Python (FastAPI, async programming) Mandatory.

LangGraph / LangChain for agent orchestration. TigerGraph and GSQL development. Snowflake and dbt (Data Quality, analytics engineering). Enterprise knowledge modelling (OWL / SKOS / RDF). Strong communication and ability to work independently. Preferred (Nice to Have) Experience with vector databases or RAG architectures. Exposure to metadata management tools such as DataHub. Familiarity with B2B/B2C sales data and CRM systems (e.g., Salesforce). Knowledge of data governance and security frameworks. Contractor Expectations Work autonomously with minimal supervision and deliver production-ready solutions. Act as a senior technical reference for the team. Focus on stability, scalability, observability, and long-term platform health., Project Code :BPR code for RuchiPurna and Megha FY26

Abbott + Austin, TX + $86,700-173,300 per year Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with lea…