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

- **Company:** Amazon.com, Inc.
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Salary:** $86,700.0 - $173,300.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Computer Programming, Data Governance, Graph Database, Python (Programming Language), Meta-Data Management, NoSQL, DataOps, Salesforce.Com, Software Deployment, Snowflake, Multi-Agent Systems, Fastapi, Data Management
- **Published:** July 3, 2026
- **Apply:** https://www.careerjet.com/jobad/us026ba071b3c73337789bf3147ecc8c0d

## About the Role

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

## Description

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.


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