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Ai In Jobs in Dallas, TX (NOW HIRING)

Senior AI Engineer - Talent Community

Richardson, TX · On-site

$94K - $130K/yr

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 ...

The company is headquartered in Charlotte, NC with additional operations near Sacramento, and ... This role is the execution engine underneath it: the person who takes AI projects all the way to ...

AI Enablement Lead

Garland, TX · On-site

$110 - $170/hr

The company is headquartered in Charlotte, NC with additional operations near Sacramento, and ... This role is the execution engine underneath it: the person who takes AI projects all the way to ...

The Knowledge & Enablement Specialist plays a critical role in ensuring employees globally can find ... The role reports to the Senior Director, Global Knowledge Management & AI Enablement. What You'll ...

Lead AI Engineer- Remote

Richardson, TX · On-site +1

$93K - $122K/yr

In this individual contributor (IC) leadership role, you will operate as a hands-on technical expert, driving architecture, development, and deployment of complex AI-powered solutions. You will ...

Lead AI Engineer- Remote

Richardson, TX · On-site +1

$93K - $122K/yr

In this individual contributor (IC) leadership role, you will operate as a hands-on technical expert, driving architecture, development, and deployment of complex AI-powered solutions. You will ...

Showing results 41-60

Ai In information

What is the difference between Ai In vs Data Analyst?

AspectAi InData Analyst
Required CredentialsTypically a degree in AI, computer science, or related field; certifications in AI or machine learningDegree in statistics, mathematics, or related field; certifications in data analysis or visualization
Work EnvironmentTech companies, AI research labs, startups; focus on developing AI modelsBusiness, finance, healthcare sectors; analyze data to inform decisions
Employer & Industry UsagePrimarily in tech and AI-focused industriesAcross various industries including finance, healthcare, marketing

While both roles involve working with data, Ai In focuses on developing and implementing AI models, whereas Data Analysts interpret data to support business decisions. Ai In roles require specialized knowledge in AI and machine learning, while Data Analysts focus on data visualization and statistical analysis.

What cities near Dallas, TX are hiring for Ai In jobs?

Cities near Dallas, TX with the most Ai In job openings:

Infographic showing various Ai In job openings in Dallas, TX as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution.

Senior AI Engineer - Talent Community

CBRE

Richardson, TX • On-site

$94K - $130K/yr

Full-time

Re-posted 20 days ago


CBRE rating

8.1

Company rating: 8.1 out of 10

Based on 354 frontline employees who took The Breakroom Quiz

112th of 500 rated business services


Job description

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.
Equal Employment Opportunity: CBRE has a long-standing commitment to providing equal employment opportunity to all qualified applicants regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, pregnancy, age, citizenship, marital status, disability, veteran status, political belief, or any other basis protected by applicable law.
Candidate Accommodations: CBRE values the differences of all current and prospective employees and recognizes how every employee contributes to our company's success. CBRE provides reasonable accommodations in job application procedures for individuals with disabilities. If you require assistance due to a disability in the application or recruitment process, please submit a request via email at recruitingaccommodations@cbre.com or via telephone at +1 866 225 3099 (U.S.) and +1 866 388 4346 (Canada).

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About CBRE

Sourced by ZipRecruiter

The real estate industry is undergoing significant and exciting change, increasingly driven by data and technology. At CBRE, the world's premier commercial real estate services company, we empower teams to take ownership over that technology and shape it, offering both nimble, research-driven product design and the resources of a Fortune 500 business. We approach culture with intention, valuing camaraderie, collaboration, inclusivity and a healthy work/life balance. The user experience team is passionate about the quality, usability, and simplicity of the experiences we create. Individuals in these roles gather these key user insights, and then use them to inspire and inform product strategy and design solutions. We partner closely with each other, engineering, and product management to create innovative, usable, great-looking products.

Industry

Real estate

Company size

10,000+ Employees

Headquarters location

Dallas, TX, US

Year founded

1906

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