Senior AI Engineer

CBRE; Richardson (TX); On-site; USD 180,000 - 230,000; Full time

Job summary

CBRE in Richardson, TX is seeking a Senior AI Engineer to design, build, deploy, and maintain advanced AI/ML systems, with a focus on Generative AI and Agentic AI frameworks across enterprise platforms. You will own end-to-end pipelines, collaborate with data scientists, implement MLOps, and productionize AI capabilities while ensuring privacy, security, and responsible AI.

The role requires strong Python, TensorFlow/PyTorch, cloud experience, and the ability to communicate complex concepts to

Qualifications

• Bachelor’s degree plus 8–10 years of relevant experience.
• Expert Python and AI/ML frameworks experience.
• Proven MLOps: versioning, training, deployment, monitoring.
• Experience with cloud platforms (AWS, Azure, GCP) and SageMaker/Azure ML/Vertex AI.
• Hands-on Generative AI, LLMs, GANs, VAEs, RAG, and context engineering.
• Strong data processing, SQL, and large-scale datasets.
• Excellent communication and collaboration for senior stakeholder influence.

Responsibilities

• Own end-to-end design and deployment of scalable AI/ML systems.
• Collaborate with data scientists to productionize models.
• Implement MLOps, CI/CD, versioning, and infra-as-code.
• Improve models for performance, accuracy, and efficiency.
• Develop AI services and APIs integrated into applications.
• Troubleshoot production issues across model, data, and infra.
• Define governance, data privacy, and responsible AI practices.
• Mentor junior engineers and share knowledge.
• Conduct research in Generative AI, LLMs, RAG, and context engineering.
• Guide AI roadmap and communicate with technical/non-technical stakeholders.

Skills

Python

MLOps

AI/ML frameworks

Communication

Leadership

Problem solving

Education

Bachelor’s Degree preferred

Tools

TensorFlow

PyTorch

Scikit-learn

SageMaker

Azure ML

Vertex AI

SQL

Job description

CBRE is hiring a Senior AI Engineer to design, build, deploy, and maintain advanced AI/ML systems that address complex business challenges. This onsite role in Richardson, TX focuses on Generative AI and Agentic AI frameworks, including workflow automation and the productionization of AI/ML capabilities.

What you’ll do

• Own end-to-end design, development, and implementation of scalable AI/ML systems and pipelines, with a focus on Generative AI/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, including CI/CD, version control for models and data, automated testing, and infrastructure-as-code for AI solutions.
• Improve 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.
• Debug and resolve complex production issues across model performance, data pipelines, infrastructure, and distributed systems.
• Define and apply best practices for AI/ML development, deployment, and governance, including data privacy, security, and responsible AI standards.
• Mentor junior AI/ML engineers through technical guidance and support for continuous learning.
• Conduct ongoing research in AI/ML, deep learning, and Generative AI, including LLMs, Agentic AI, and RAG, with emphasis on innovative context engineering.
• Provide expert recommendations that shape AI roadmap planning and capability development across multi-discipline teams.
• Explain complex technical concepts clearly to technical and non-technical stakeholders.

What you’ll bring

• Bachelor’s Degree preferred plus 8-10 years of relevant experience, or an equivalent combination of education and experience.
• Expert-level proficiency in Python and major AI/ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Demonstrated MLOps experience, including tools and practices for model versioning, training, deployment, monitoring, and retraining.
• Strong experience with cloud platforms including AWS, Azure, and GCP, and AI/ML services such as SageMaker, Azure ML, and Vertex AI.
• In-depth understanding of machine learning algorithms, deep learning architectures, and underlying mathematical principles.
• Experience with data processing, feature engineering, and managing large-scale datasets, including SQL and big data technologies.
• Proven ability to design, develop, and optimize algorithms across AI/ML use cases, including Generative AI techniques such as LLMs, GANs, VAEs, and Agentic AI frameworks, with hands-on RAG design, implementation, evaluation, and context engineering.
• Advanced problem-solving skills for unique, complex technical challenges with broad business impact.
• Exceptional communication and collaboration skills, including the ability to influence stakeholders at senior levels.
• An innovative, inquisitive mindset that supports continuous improvement and method development.

Applicant AI disclosure

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