Senior AI Engineer

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.

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