Senior AI Engineer - Talent Community
Идентификационен номер на работа
273037
Публикувано
20-апр.-2026
Вид работа
Full-time
области на интерес
Цифрови и технологии / Информационни технологии
Местоположение/я
Richardson - Texas - United States of America
About the Role:

As a CBRE Senior AI Engineer, you will be instrumental in designing, building, deploying, and maintaining advanced Artificial Intelligence and Machine Learning (AI/ML) systems that solve complex business challenges and drive innovation. A primary focus of this role will be leveraging Generative AI and Agentic AI frameworks to automate complex workflows and enhance business processes. This role demands a blend of deep technical expertise in AI/ML, strong software engineering principles, and a collaborative spirit to translate intricate data science models into robust, scalable, and production-ready solutions. You will work closely with data scientists, product managers, and other engineering teams, acting as a technical leader and mentor to ensure the successful delivery and operationalization of AI initiatives. Your continuous learning and application of the latest advancements in AI, including Generative AI, will be crucial in identifying strategic opportunities and shaping our AI roadmap.

What You’ll Do:

  • Lead the end-to-end design, development, and implementation of scalable AI/ML systems and pipelines, emphasizing Generative AI/LLM solutions, including RAG implementation and evaluation.
  • Collaborate with data scientists to transition experimental models into robust, production-ready deployments.
  • Architect and implement MLOps strategies, covering CI/CD, version control for models and data, automated testing, and infrastructure-as-code for AI solutions.
  • Optimize existing AI/ML models for performance, accuracy, scalability, and computational efficiency using advanced techniques.
  • Develop and integrate AI/ML services and APIs into existing software applications and platforms for seamless functionality.
  • Troubleshoot complex issues across AI/ML model performance, data pipelines, infrastructure, and distributed systems in production.
  • Establish and enforce best practices for AI/ML development, deployment, and governance, including data privacy, security, and responsible AI standards.
  • Mentor junior AI/ML engineers, providing technical guidance and fostering a culture of continuous learning.
  • Conduct research and stay current with advancements in AI, machine learning, deep learning, and Generative AI techniques (e.g., LLMs, Agentic AI, RAG solutions), applying innovative context engineering.
  • Contribute expert recommendations to AI roadmap planning and capability development, influencing strategic decisions across multi-discipline teams.
  • Communicate complex technical concepts effectively to both technical and non-technical stakeholders.

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 8-10 years of relevant experience, or an equivalent combination of education and experience.
  • Expert-level proficiency in programming languages like Python, and major AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Demonstrated experience with MLOps practices and tools for model versioning, training, deployment, monitoring, and retraining.
  • Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services (e.g., SageMaker, Azure ML, Vertex AI).
  • In-depth understanding of machine learning algorithms, deep learning architectures, and their underlying mathematical principles.
  • Experience with data processing, feature engineering, and managing large-scale datasets, including proficiency in SQL and big data technologies.
  • Proven ability to design, develop, and optimize algorithms for various AI/ML applications, with expert knowledge and practical experience in Generative AI techniques (e.g., LLMs, GANs, VAEs, Agentic AI frameworks), including RAG solution design, implementation, evaluation, and context engineering.
  • Advanced problem-solving skills for unique and complex technical challenges with broad business impact.
  • Exceptional communication and collaboration skills, with the ability to influence stakeholders at senior levels.
  • An innovative and inquisitive mindset to continuously develop new methods and push the boundaries of existing solutions.

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.
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