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# Senior GCP Architect Data & AI/GenAI Platform Engineering

- **Company:** Artech
- **Location:** Irving, TX, United States
- **Experience:** Expert
- **Salary:** $108,160.0 - $114,400.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Microsoft Azure, BigQuery, Cloud Computing, Cloud Storage, Information Systems, Continuous Integration, Linux, Data Flow Control, Python (Programming Language), Node.Js, Tensorflow, Gemini Enterprise (Agent Platform), Scripting, Google Cloud, Pytorch, Retrieval-Augmented Generation, Large Language Models, Git, Containerization, Information Technology, Drift Detection, Artificial Intelligence Governance, Terraform, Looker Analytics, Serverless Computing, Microservices
- **Published:** October 29, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-gcp-architect-data-ai-genai-platform-engineering-irving-tx--83037b25-7c73-4f03-9669-74e5fd5ebac4

## About the Role

GCP (Good Clinical Practices), Artificial Intelligence (AI), Information Technology & Information Systems, GCP (Good Clinical Practices), Cloud Computing, Python Programming/Scripting Language, Leadership, Looker, Cloud Storage, Data Analysis, * At least 15 years of total IT experience with over 5 years as Architect.

 * Must have 7+ years of experience in Google Cloud (GCP).
 * Must have 7+ years of experience in Python.
 * Must have 7+ years of experience in Terraform.
 * Must have 7+ years of experience in GCP Program Leadership.
 * Ability to lead the design, delivery, and governance of new enterprise data and analytics platforms, leveraging services including BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Composer (Airflow), Dataform, and Looker.
 * Strong experience and understanding of building using serverless, microservices, and containerization on GCP/AWS/Azure.
 * Deep understanding of LLMs, Gemini Enterprise, and designing workflows for Vertex AI and RAG, tool calling, vector databases, and multi-step agentic systems.
 * Experience with CI/CD for models and prompts, model registries, drift detection, and production monitoring.
 * Development expertise in Python, Java, Node.js, Git, Linux/CLI utilities, and standard AI frameworks such as PyTorch or TensorFlow.
 * Should have knowledge and experience in token management and AI guardrails.
 * Translate executive goals into technical roadmaps.
 * Lead engineering teams, manage stakeholder expectations, and outline non-functional requirements.