Principal Cloud & AI Systems Engineer

CBRE; Dallas (TX); On-site; USD 210,000 - 320,000; Full time

Job summary

CBRE is seeking a Systems Engineer Principal for Cloud & AI Engineering in Dallas. You will architect and operate large-scale data pipelines, lakehouse solutions, and AI-enabled cloud services across AWS, Azure, and GCP.

Lead ML lifecycle and generative AI integration with platform tooling and governance, partnering with cloud architects and engineers. You will design modular data components, ensure data quality, and build scalable cloud-native microservices and automation to support cost,

Qualifications

• Bachelor's degree preferred with 10-15 years of experience or equivalent.
• Strong data engineering experience in large-scale pipelines and data lakehouses.
• Hands-on AI/ML engineering with production model delivery.
• Experience with multi-cloud data and AI service architectures.

Responsibilities

• Design, build, and operate large-scale data pipelines across AWS, Azure, and GCP.
• Architect data lakehouse solutions with ACID compliance for analytics and AI.
• Develop ML models and ML lifecycle pipelines for production use.
• Build REST APIs and microservices exposing data and AI capabilities.
• Implement data quality, governance, and observability across platforms.

Skills

Data engineering

AI/ML

Cloud platforms

Spark/Databricks

MLOps

Python

LLM integration

Tools

dbt

Apache Airflow

Azure Data Factory

Delta Lake

Iceberg

Spark

Kubernetes

Terraform

Bicep

MLflow

Job description

CBRE is seeking a Systems Engineer Principal for Cloud & AI Engineering in Dallas. You will architect and operate large-scale data pipelines, lakehouse solutions, and AI-enabled cloud services across AWS, Azure, and GCP.

Lead ML lifecycle and generative AI integration with platform tooling and governance, partnering with cloud architects and engineers. You will design modular data components, ensure data quality, and build scalable cloud-native microservices and automation to support cost,