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GCP Architect

Yantran LLC

Dallas, TX

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JOB DETAILS
SKILLS
Analysis Skills, Artificial Intelligence (AI), CIM (Common Information Model), Cloud Computing, Data Management, Database Administration, Database Design, Database Extract Transform and Load (ETL), Ecosystems, GCP (Good Clinical Practices), Healthcare, IBM AS-400 Server, IBM z-OS Operating System, Incident Response, Mainframe Computer, Performance Analysis, Performance Modeling, Regulatory Requirements, Splunk
LOCATION
Dallas, TX
POSTED
21 days ago
GCP Architect
Location: Dallas, Texas - Hybrid - 3 Days a week Better to look for Local Candidates
Job 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.
Technical Qualifications
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.

About the Company

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Yantran LLC

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