Principal Systems Engineer - Cloud & AI Engineering

CBRE; Richardson (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

CBRE Group, Inc. is seeking a Principal Systems Engineer - Cloud & AI Engineering to lead design and deployment of enterprise-scale cloud data platforms, AI/ML solutions, and cloud-native services across AWS, Azure, and GCP.

You will drive innovation, set technical standards, and mentor engineers within Cloud Platform Services. The role focuses on modernizing platforms, building data pipelines, and delivering AI-powered solutions while ensuring governance, security, and reliability across

Qualifications

• Bachelor's Degree preferred with 8 years of experience in cloud, software, data, or platform engineering.
• Proven experience building, deploying, and supporting production AI/ML solutions, including MLOps practices.
• Hands-on experience delivering Generative AI and LLM solutions with tools such as Azure OpenAI, Bedrock, Gemini, or LangChain.
• Strong Python skills and experience building APIs and cloud-native applications.
• Expertise in at least one major cloud platform (Azure, AWS, or GCP), including its data and AI services.
• Experience building data pipelines (ETL/ELT), with strong SQL skills and familiarity with Spark and lakehouse architectures.
• Experience with Infrastructure-as-Code, CI/CD, Docker, and Kubernetes.
• Working knowledge of data governance, security, and observability.
• Clear communicator who influences technical direction and mentor's others.

Responsibilities

• Design, build, and deploy production AI/ML solutions, including predictive analytics, anomaly detection, and intelligent automation.
• Build Generative AI and LLM-powered solutions, including RAG architectures, AI assistants, and agentic workflows.
• Own the machine learning lifecycle from data preparation through deployment, monitoring, and continuous improvement.
• Build the data pipelines and lakehouse platforms that feed analytics, AI, and FinOps use cases.
• Modernize cloud platforms across Azure, AWS, and GCP using native data, AI, and engineering services.
• Develop cloud-native applications, APIs, and automation that extend platform capabilities.
• Automate deployment and platform operations with Infrastructure-as-Code (Terraform, Bicep) and CI/CD.
• Support containerized and Kubernetes-based workloads for data and AI solutions.
• Set standards for data quality, governance, security, and reliability.
• Partner with cloud engineers, architects, and business stakeholders to shape platform strategy.
• Mentor engineers, influence technical direction across Cloud Platform Services.
• Lead by example and model behaviors that are consistent with CBRE RISE values.

Skills

Python

Cloud platforms

Data pipelines

AI/ML

Terraform

Kubernetes

CI/CD

Spark

Education

Bachelor's degree

Tools

Azure OpenAI

Bedrock

Gemini

LangChain

Job description

About the Role:

As a CBRE Principal Systems Engineer - Cloud & AI Engineering, you will serve as one of the most senior technical individual contributors within Cloud Platform Services. You will lead the design, development, and optimization of enterprise-scale cloud data platforms, AI/ML solutions, and cloud-native services that enable intelligent decision-making, automation, and cost optimization across AWS, Azure, and GCP environments. This role combines deep expertise in data engineering, artificial intelligence, machine learning, and software engineering to solve complex cloud platform challenges, drive innovation, and establish technical standards across the organization. This job is part of the Software Engineering job function. They are responsible for successfully executing and monitoring software design requirements and improvements to increase efficiency.

What You'll Do:

• Design, build, and deploy production AI/ML solutions, including predictive analytics, anomaly detection, and intelligent automation.
• Build Generative AI and LLM-powered solutions, including RAG architectures, AI assistants, and agentic workflows.
• Own the machine learning lifecycle from data preparation through deployment, monitoring, and continuous improvement.
• Build the data pipelines and lakehouse platforms that feed analytics, AI, and FinOps use cases.
• Modernize cloud platforms across Azure, AWS, and GCP using native data, AI, and engineering services.
• Develop cloud-native applications, APIs, and automation that extend platform capabilities.
• Automate deployment and platform operations with Infrastructure-as-Code (Terraform, Bicep) and CI/CD.
• Support containerized and Kubernetes-based workloads for data and AI solutions.
• Set standards for data quality, governance, security, and reliability.
• Partner with cloud engineers, architects, and business stakeholders to shape platform strategy.
• Mentor engineers, influence technical direction across Cloud Platform Services.
• Lead by example and model behaviors that are consistent with CBRE RISE values.

What You'll Need:

• To perform this job successfully, an individual will need to perform each crucial duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
• Bachelor's Degree preferred with 8 years of experience in cloud, software, data, or platform engineering. In lieu of a degree, a combination experience and education will be considered.
• Proven experience building, deploying, and supporting production AI/ML solutions, including MLOps practices.
• Hands-on experience delivering Generative AI and LLM solutions with tools such as Azure OpenAI, Bedrock, Gemini, or LangChain.
• Strong Python skills and experience building APIs and cloud-native applications.
• Expertise in at least one major cloud platform (Azure, AWS, or GCP), including its data and AI services.
• Experience building data pipelines (ETL/ELT), with strong SQL skills and familiarity with Spark and lakehouse architectures.
• Experience with Infrastructure-as-Code, CI/CD, Docker, and Kubernetes.
• Working knowledge of data governance, security, and observability.
• Clear communicator who influences technical direction and mentor's others.

Why CBRE:

When you join CBRE, you become part of the global leader in commercial real estate services and investment that helps businesses and people thrive. We are dynamic problem solvers and forward-thinking professionals who create significant impact. Our collaborative culture is built on our shared values — respect, integrity, service and excellence — and we value the diverse perspectives, backgrounds and skillsets of our people. At CBRE, you have the opportunity to chart your own course and realize your potential. We welcome all applicants.

Our Values in Hiring:

At CBRE, we are committed to fostering a culture where everyone feels they belong. We value diverse perspectives and experiences, and we welcome all applications.

Applicant AI Use Disclosure:

We value human interaction to understand each candidate's unique experience, skills and aspirations. We do not use artificial intelligence (AI) tools to make hiring decisions, and we ask that candidates disclose any use of AI in the application and interview process.

About CBRE Group, Inc.

CBRE Group, Inc. (NYSE:CBRE), a Fortune 500 and S&P 500 company headquartered in Dallas, is the world’s largest commercial real estate services and investment firm (based on 2024 revenue). The company has more than 140,000 employees (including Turner & Townsend employees) serving clients in more than 100 countries. CBRE serves clients through four business segments: Advisory (leasing, sales, debt origination, mortgage serving, valuations); Building Operations & Experience (facilities management, property management, flex space & experience); Project Management (program management, project management, cost consulting); Real Estate Investments (investment management, development). Please visit our website at www.cbre.com.