Senior Agentic Platform architect Austin / SCV W2

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.