Senior Enterprise Architect - AI​/ML

Senior Enterprise Architect - AI/ML

Job
231504
Posted
30-Jul-2025

Service line
Corporate Segment

Role type
Full-time

Areas of Interest
Digital & Technology/Information Technology

Location(s)
Dallas - Texas - United States of America, Richardson - Texas - United States of America

About Us

CBRE is the world’s leading commercial real estate services firm with offices located around the globe. The real estate market is undergoing significant and exciting change, driven by technology and data. Digital and Technology powered products play a vital role in CBRE’s mission to create unmatched value for our clients. We have unbeatable data, and this role will ensure that data is front and centre of the CRE industry, embedded in our client’s decision-making processes.

You will be part of the Global Enterprise Architecture team reporting directly to the Enterprise Architecture leadership team.

The Digital & Technology team at CBRE is a forward thinking and innovative team, currently leading a global digital transformation. We are looking for a Senior Enterprise Architect, in Artificial Intelligence (AI) to join the global team based in Richardson, Texas. A hands-on AI/ML Enterprise Architect role demands a blend of deep technical expertise, architectural design skills, and practical implementation capabilities.

You'll help solution and drive AI based transformation projects s area is a critical component to the enablement of our digital products.

This role involves working across multiple functions, building strong relationships with various teams such as Product Management, Technology, Data and Business Transformation teams. In addition to internal constituents, you may also work with customers and partners to understand the market requirements and to support the business, so excellent communication (written and verbal) and a passion for creating customer centric user experience is vital.

What You'll Do:

• Collaborate with business and technology teams in the identification, design, prototyping and selection of AI/ML solutions needed to deliver business value.
• Architect and help build enterprise solutions which include components across the Artificial Intelligence spectrum such as Machine Learning, generative AI, Deep-Learning, Virtual Assistants and Cognitive Services (e.g., Vision/Image, Textual/Language processing).
• Create and articulate future state AI vision via all the relevant architecture & design artifacts. Help validate these proposed future state architectures with hands-on prototypes and MVPs.
• Evaluate market solutions and evolving platforms for AI/ML, and assess fitment to CBRE demands, ROI analysis, readiness and develop enterprise recommendations.
• Assist in the development of roadmaps for AI & machine learning and other advanced analytics areas (e.g., NLP, NLQ, LLMs, Agentic AI, MCP, A2A, neural networks, computer vision, ML platforms, open-source libraries, event-driven stream processing, data lakes)
• Continuous "outside-in" scanning, to facilitate continuous learning, hands-on understanding, & adoption of AI Solutions Architecture industry standard methodologies & techniques.
• Rapid Proof-of-Concept (PoC) Development:
  Independently and quickly build functional prototypes and PoCs to test new AI models, algorithms, and approaches to solve specific business problems.
• Model Experimentation:
  Conduct hands-on testing with various machine learning models, including fine-tuning large language models (LLMs), training custom models, and evaluating their performance using appropriate metrics.
• Data Exploration and Preparation:
  Write scripts and use tools to perform data exploration, cleansing, and feature engineering on diverse datasets to prepare them for prototyping and model training.
• Technical Validation:
  Quickly set up and test new tools, APIs, and frameworks to validate their capabilities and suitability for larger-scale implementation.
• Architectural Mentorship:
  Offering support and mentorship to data science and engineering teams throughout the development, deployment, and operationalization of AI models.
• System Integration:
  Design and facilitate the integration of AI/ML models into existing enterprise applications,…