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CBRE · 1 day ago

Senior Enterprise Architect - AI/ML

Dallas, TX

Full-time

Onsite

Senior Level

5+ years exp

CBRE is the world’s leading commercial real estate services firm, and they are seeking a Senior Enterprise Architect specializing in Artificial Intelligence (AI) to join their global team in Richardson, Texas. This role focuses on driving AI-based transformation projects, collaborating with various teams to design and implement AI/ML solutions that deliver business value.

CommercialFinancial ServicesProperty DevelopmentReal Estate

No H1B

Responsibilities

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, APIs, and business workflows

Qualification

AI/ML solution architectureGenerative AILarge Language ModelsCloud-native servicesData explorationFeature engineeringStatistical conceptsHands-on prototypingCommunicationMentorshipCollaborationProblem-solving

Required

Minimum bachelor's degree qualification, with strong quantitative background (STEM education background (Science, Technology, Engineering & Mathematics) AND/OR an MBA preferred)

Deep knowledge of AI/ML tech across AWS/Azure and GCP

Understanding of cloud-native services for data storage, compute, networking, and security

Proven grasp of statistical concepts (e.g., hypothesis testing, probability distributions, regression analysis)

Experience with data exploration, feature engineering, and data preprocessing techniques

Technical proficiency, including:

5+ years of hands-on AI/ML solution architecture and Hands-on prototyping and experimentation

5+ years of AWS/Azure data, Analytics and AI services

3+ years hands-on of experience with data science tools and frameworks

Recent experience in Generative AI, Large Language Models (LLMs), Agentic AI platforms and solutions