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# Senior ERP Specialist

- **Company:** HCL Technologies
- **Location:** Tampa, FL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Big Data, BigQuery, Cloud Computing, Relational Databases, Python (Programming Language), SQL Databases, Systems Architecture, Google Cloud, Data Ingestion, Retrieval-Augmented Generation, Multi-Agent Systems, Generative AI, Fastapi, Data Management, Google Gemini, Restful APIs, Data Pipelines
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-erp-specialist-tampa-fl--2d9c6cb6-d780-4cf0-a54c-86b308502694

## About the Role

ERP (Enterprise Resource Planning), ERP (Enterprise Resource Planning), Artificial Intelligence (AI), Data Management, Relational Databases (RDBMS), Ecosystems, Application Programming Interface (API), REST (Representational State Transfer), Cloud Computing, System Architecture

## Description

Role OverviewWe are seeking a Senior AI Engineer with extensive experience in Generative AI, Retrieval-Augmented Generation (RAG) frameworks, and agent-based system architectures within the Google Cloud ecosystem.Technical QualificationsGenerative AI & LLMs: Demonstrated track record of deploying Google Gemini models in production using Vertex AI and the Agent Development Kit (ADK).RAG Architecture: Proven expertise in designing RAG systems.Backend & Cloud Infrastructure: Strong proficiency in Python (FastAPI), Google Cloud Run, and large-scale data retrieval strategies.Data Structures & Storage: Experience of relational database architecture and enterprise data schema management.Key ResponsibilitiesArchitect and deliver a stateful, multi-agent AI framework leveraging the Google Agent Development Kit (ADK), establishing an orchestration layer to route user intent to specialized sub-agents.Develop and maintain secure RAG pipelines, including automated data ingestion from source (via
Python/FastAPI), data sanitization, and vector/SQL-based retrieval to ensure accurate, context-driven, hallucination-free outputs.Fine-tune and optimize large language model performanceData Pipeline & Tooling: Construct data pipelines utilizing BigQuery and REST APIs.