GCP Architect

GCP Architect

Location: Dallas, Texas - Hybrid - 3 Days a week – Better to look for Local Candidates Rate: ***/hr The pay range for this role is ***K Max per annum including any bonuses or variable pay. *** also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). The exact offer terms will depend on the skill level, educational qualifications, experience and location of the candidate.

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.

*** is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. All applicants will be evaluated solely based on their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodation also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at ***.