Senior Agentic Platform architect (Contract) Tower / Track: Data & Reporting Role: Senior Agentic Platform architect Location: Austin / SCV Experience Required: 10+ Years 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. Key Responsibilities • 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. • Advanced SQL - 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.