Senior AI/ML Platform Architect & Tech Lead

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

Job summary

CBRE is seeking a senior leader to head AI and data transformation for its Advisory business unit. You will architect and evolve complex software and data platforms, set technical direction, and guide teams to deliver strategic outcomes with strong operational discipline.

You will work with clients and stakeholders to align technology with business goals, drive platform modernization, and ensure robust production operations across enterprise-scale systems.

Qualifications

• Bachelor’s degree preferred; 10–15 years of relevant experience or equivalent.
• At least six years in software or data engineering, full-stack enterprise development, modern frameworks, relational databases, and RESTful APIs or microservices.
• Two+ years architecting AI/ML-powered platforms and strong technical leadership skills.

Responsibilities

• Lead AI and data transformation strategy for the CBRE Advisory business unit.
• Architect and evolve complex software and data platforms with a focus on delivery quality and operational excellence.
• Set technical direction, guide teams, allocate resources, and resolve critical production issues.
• Collaborate with business stakeholders, clients, and partners to drive strategic outcomes.

Skills

AI & ML

Data engineering

Software engineering

Full-stack development

Enterprise application development

Cloud computing

RESTful APIs

Microservices

Relational databases

Platform architecture

Advanced analytics

Data strategy

Technical leadership

Team leadership

Stakeholder collaboration

Production issue resolution

Education

Bachelor’s degree (preferred)

Job description

CBRE is seeking a senior leader to head AI and data transformation for its Advisory business unit. You will architect and evolve complex software and data platforms, set technical direction, and guide teams to deliver strategic outcomes with strong operational discipline.

You will work with clients and stakeholders to align technology with business goals, drive platform modernization, and ensure robust production operations across enterprise-scale systems.