Principal AI Engineer

About the Role

As a CBRE Principal AI Engineer, you will shape enterprise intelligence by architecting, building, and scaling cutting‑edge AI/ML solutions and intelligent platforms end‑to‑end, from inception through deployment and ongoing operations, combining deep AI engineering expertise with a product and platform mindset to deliver production‑grade, enterprise‑scale AI products.

• Lead the full lifecycle of AI‑powered platforms—including inception, architecture, development, deployment, and iteration—applying framework thinking and architectural pattern expertise to build systems that scale, evolve, and minimize tech debt over time.
• Design and implement the full spectrum of AI/ML capabilities—predictive models, generative AI, agentic frameworks, RAG pipelines, and conversational systems—as integrated components of a coherent product architecture rather than isolated solutions.
• Operationalize LLM‑powered experiences including multi‑turn dialogue systems, virtual assistants, and knowledge graph‑enhanced retrieval; apply enterprise fine‑tuning techniques (DPO, ORPO, SPIN) to align models with domain‑specific workflows and knowledge.
• Embed responsible AI principles across the development lifecycle—covering bias detection, model explainability, adversarial risk, and compliance—to ensure AI systems are trustworthy, auditable, and aligned with enterprise standards.
• Build production‑grade MLOps pipelines with end‑to‑end model lifecycle management, monitoring, drift detection, and performance observability baked in by design.
• Translate platform architecture and AI capabilities into strategic recommendations for executive audiences; drive alignment across engineering, data, and business teams.
• Coach and guide others by sharing experience and knowledge across all job areas within a function, practical experience in several functional areas or businesses, or concentrated knowledge of a particular discipline.
• Model CBRE RISE values by leading by example, negotiating with senior management, customers, regulators, or vendors to influence decisions of strategic importance, and persuading senior stakeholders to adopt new perspectives.
• Drive the direction and resource allocation for programs, projects, or services.
• Impact the design of policies and procedures and provide moderate influence on business direction through development of innovative services or products.

• Bachelor’s or Master’s Degree preferred with 10+ years of relevant experience in software and platforms engineering, with 5+ years of experience focused on AI/ML systems at enterprise scale. In lieu of a degree, a combination of experience and education will be considered.
• Proven track record building and scaling enterprise platforms with strong architectural and design pattern thinking.
• Hands‑on experience across the AI stack—including LLMs, generative AI, agentic frameworks (Lang Chain, CrewAI), knowledge graphs, and MLOps tooling.
• Strong Python proficiency and solid software engineering fundamentals.
• Experience with cloud platforms (Azure, AWS, GCP), containerization, and CI/CD pipelines.
• Strong communication and leadership skills with the ability to influence executive audiences.

CBRE is an equal opportunity employer that values diversity. We have 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.

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 recr or via telephone at  (U.S.) and  (Canada).