Senior GCP Architect Data & AI/GenAI Platform Engineering
Artech
Irving, TX, United States
2 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$108,160.0 - $114,400.0
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
Artificial Intelligence
Airflow
Amazon Web Services
Data Analysis
Microsoft Azure
BigQuery
Cloud Computing
Cloud Storage
Information Systems
Continuous Integration
Linux
+19 more
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
Requirements
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.
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