GCP Architect – GenAI

Job Title: GCP Architect – GenAI & Enterprise AI Platforms Location: Dallas, TX (Hybrid) GCP Architect – GenAI & Enterprise Data Platforms Job Summary We are looking for a highly experienced GCP Architect to design and architect enterprise-scale GenAI and RAG-based remediation platforms on Google Cloud. The ideal candidate will define end-to-end cloud architecture, establish BigQuery as the enterprise data foundation, and architect secure, scalable AI workflows integrating legacy systems, modern data platforms, and healthcare-compliant governance frameworks. This role requires deep expertise in enterprise architecture, AI platform strategy, MLOps, and cloud-native modernization. Key Responsibilities • Architect end-to-end GenAI remediation platforms leveraging Vertex AI, BigQuery, and GCP-native services. • Define enterprise data architecture and establish BigQuery as the centralized source of truth. • Design scalable ingestion and normalization frameworks for Mainframe (z/OS), AS400, Splunk, and distributed enterprise systems. • Architect RAG pipelines using embedding models, vector search, and BigQuery Vector Search capabilities. • Design Human-in-the-Loop (HITL) frameworks integrating analyst feedback into AI model retraining pipelines. • Define secure healthcare-compliant AI architectures with row-level security, data masking, encryption, and governance controls. • Lead MLOps strategy including model lifecycle management, evaluation, observability, retraining triggers, and performance monitoring. • Create reusable cloud architecture standards, deployment patterns, and Terraform-based automation frameworks. • Provide architectural leadership across engineering, AI, infrastructure, security, and business teams. • Present technical roadmaps, architecture decisions, and AI trade-offs to executive leadership and stakeholders. Required Skills • 12+ years of enterprise architecture and cloud engineering experience. • Expert-level knowledge of GCP services including: • Vertex AI • BigQuery • Dataflow • Pub/Sub • Cloud Run • Cloud Functions • Deep expertise in GenAI, RAG architectures, embeddings, vector databases, and LLM integration. • Strong experience designing enterprise-scale data platforms and modernization programs. • Experience integrating legacy Mainframe (z/OS), AS400, and enterprise operational systems into cloud ecosystems. • Strong expertise in Python, SQL, PySpark, and Terraform. • Experience implementing MLOps and AI governance frameworks. • Strong leadership, communication, and stakeholder engagement capabilities.