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# GCP Architect

- **Company:** American IT Systems
- **Location:** Dallas, TX, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, IBM System I, BigQuery, Data Infrastructure, Extract Transform Load (ETL), Data Masking, Data Flow Control, Information Model, Python (Programming Language), Mainframes, Search Technologies, SQL Databases, Systems Architecture, User-Centered Design, Cloud Platform System, Retrieval-Augmented Generation, Large Language Models, Model Validation, Pyspark, Deployment Automation, Google Cloud Functions, Performance Monitor, Machine Learning Operations, Terraform, Splunk, Data Pipelines
- **Published:** June 2, 2026
- **Apply:** https://www.careerjet.com/jobad/us2b377563b44da975f2a700de8ffba0fe

## About the Role

Cloud Platform: Expert-level proficiency in GCP (Vertex AI, BigQuery, Dataflow, Pub/Sub, Cloud Run, Cloud Functions).
GenAI & RAG: Deep practical experience with RAG architectures, embedding models, and vector database management (specifically within the BigQuery ecosystem).
Legacy Integration: Strong background in connecting legacy enterprise infrastructure (Mainframe/AS400) to modern cloud data pipelines.
Engineering Practices: Proficiency in Python/SQL, PYSPARK and infrastructure-as-code (Terraform) for reproducible, automated deployment.
Communication: Ability to serve as a technical bridge, explaining complex AI trade-offs to stakeholders while providing clear guidance to engineering teams.

## Description

System Architecture: Architect the end-to-end design of a scalable, GenAI-powered remediation platform on GCP. Design ingestion patterns to normalize data from Mainframe (z/OS), AS400, and Splunk into a Common Information Model (CIM).
BigQuery Data Foundation: Establish BigQuery as the centralized source of truth. Design and implement efficient ELT/ETL pipelines and utilize BigQuery Vector Search for RAG (Retrieval-Augmented Generation) workloads.
Human-in-the-Loop (HITL) Workflow: Engineer the critical workflow for "Low Confidence" incident handling. Ensure seamless integration between AI-generated hypotheses and expert analyst resolution, creating closed-loop feedback mechanisms that improve model accuracy over time.
Governance & Compliance: Implement row-level security (RLS) and data masking to meet Healthcare regulatory requirements while providing LLMs the context needed for inference.
Model Lifecycle & MLOps: Oversee the LLM and MLOps lifecycle, managing retraining triggers based on verified analyst resolutions, model evaluation, and performance monitoring., Job Description: Responsibilities Brasfield & Gorrie has an exciting opportunity for Project Managers to support our construction projects in Dallas. Develop project business …

 + 1 month ago, Responsibilities: Brasfield & Gorrie has an exciting opportunity for Project Managers to support our construction projects in Dallas. Develop project business plan. Work with f…
 + 1 month ago


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