Senior AI Engineer

CBRE is seeking a Senior AI Engineer (onsite) in Richardson, TX to design and operationalize advanced AI/ML systems that address complex business needs.

Responsibilities

• Own end-to-end design, development, and implementation of scalable AI/ML systems and pipelines, with emphasis on Generative AI and Agentic AI approaches.
• Build and productionize LLM solutions, including RAG implementation and evaluation.
• Partner with data scientists to move experimental models into robust, production-ready deployments.
• Design and implement MLOps strategies covering CI/CD, model and data version control, automated testing, and infrastructure-as-code for AI solutions.
• Improve existing models for performance, accuracy, scalability, and computational efficiency using advanced optimization techniques.
• Develop and integrate AI/ML services and APIs into existing software applications and platforms.
• Troubleshoot production issues across model performance, data pipelines, infrastructure, and distributed systems.
• Set and uphold best practices for AI/ML development, deployment, and governance, including data privacy, security, and responsible AI standards.
• Mentor junior AI/ML engineers with technical guidance and support for continuous learning.
• Conduct research and apply new advancements in AI/ML, deep learning, and Generative AI, including LLMs, Agentic AI, and RAG, with focus on context engineering.
• Provide technical recommendations for AI roadmap planning and capability development across multi-discipline teams.
• Explain complex technical concepts to both technical and non-technical stakeholders.

Requirements

• Bachelor's Degree preferred with 8-10 years of relevant experience, or an equivalent combination of education and experience.
• Expert proficiency in Python and major AI/ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Proven MLOps experience, including model versioning, training, deployment, monitoring, and retraining practices and tools.
• Strong experience with cloud platforms such as AWS, Azure, and GCP, plus AI/ML services like SageMaker, Azure ML, and Vertex AI.
• In-depth knowledge of machine learning algorithms, deep learning architectures, and underlying mathematical principles.
• Experience with data processing and feature engineering, managing large-scale datasets, including SQL and big data technologies.
• Expert ability to design, develop, and optimize algorithms for AI/ML applications, including Generative AI methods such as LLMs, GANs, VAEs, and Agentic AI frameworks.
• Hands-on experience with 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, including the ability to influence stakeholders at senior levels.
• Innovative and inquisitive mindset to develop new methods and push existing solutions forward.

Technology Stack

• Python, TensorFlow, PyTorch, Scikit-learn
• MLOps, CI/CD, RAG, LLMs, Agentic AI
• AWS, Azure, GCP, SageMaker, Azure ML, Vertex AI
• SQL, GANs, VAEs, infrastructure-as-code, deep learning

AI Use Disclosure

• CBRE does not use artificial intelligence (AI) tools to make hiring decisions.
• Candidates are asked to disclose any use of AI in the application and interview process.

Location: Richardson, TX (onsite)