GCP Architect

Tekgence Inc; Irving (TX); Presencial; USD 140.000 - 240.000; Jornada completa

Descripción de la vacante

Tekgence Inc. is seeking an senior IT Architect to lead the design and governance of enterprise data and analytics platforms. You will drive architecture across Google Cloud, AWS, and Azure, focusing on scalable data pipelines, ML model governance, and AI tooling.

You will oversee CI/CD for models, monitor drift, and ensure production readiness, while leveraging Looker, BigQuery, Dataflow, and Vertex AI workflows. Strong leadership and 15+ years of IT experience required.

Formación

• Total IT experience of 15+ years with at least 5 years as Architect.
• Lead design, delivery, and governance of enterprise data/analytics platforms.
• Build and deploy using serverless, microservices, and containerization on GCP/AWS/Azure.
• Deep understanding of LLMs (Gemini Enterprise), Vertex AI workflows, RAG, tool calling, vector databases, and multi-step agents.
• CI/CD for models/prompts, model registries, drift detection, and production monitoring.

Responsabilidades

• Lead the design, delivery, and governance of enterprise data/analytics platforms.
• Architect solutions across GCP/AWS/Azure, including CI/CD for models.
• Design workflows for Vertex AI, LLMs, RAG, and multi-step agent systems.
• Ensure robust monitoring, drift detection, and production readiness of AI systems.

Conocimientos

Python

Google Cloud

Terraform

Java

Node.js

Git

Linux/CLI

PyTorch

TensorFlow

BigQuery

Herramientas

Looker

BigQuery

Dataflow

Pub/Sub

Dataform

Cloud Composer (Airflow)

Vertex AI

Descripción del empleo

Skills: Digital : Python~Digital : Google Cloud~Digital: Terraform

Experience Required: 8-10 Years

Role Description-

At least 15 years of total IT experience with over 5 years as Architect.

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 Build using serverless, microservices, and containerization on GCP/AWS/Azure.

Deep Understanding of LLMs Gemini Enterprise, Design workflows for Vertex AI and RAG, tool calling, vector databases, and multi-step agentic.

Experience on CI/CD for models and prompts, model registries, drift detection, and production monitoring.

• Development expertise on Python, Java, Nodejs, Git, Linux/CLI utilities, and standard AI frameworks such as PyTorch or TensorFlow.