Senior AI/ML Engineer - (Hybrid) Job ID 229391 Posted 16-Jul-2025 Service line GWS Segment Role type Full-time Areas of Interest Digital & Technology/Information Technology Location(s) Bellevue - Washington - United States of America, Palo Alto - California - United States of America, Santa Monica - California - United States of America, Seattle - Washington - United States of America **About the Role** We are seeking a highly skilled Senior Machine Learning Engineer with deep expertise in Retrieval-Augmented Generation (RAG), Vertex AI, and LLM-based application development on Google Cloud Platform (GCP). This role will be instrumental in designing and deploying intelligent, scalable AI solutions powered by Workplace Experience (WX) data in BigQuery, enhancing how employees engage with workplace services and insights. As a key member of the Data & Technology (D&T) team, you will be responsible for building end-to-end RAG pipelines, optimizing information retrieval and summarization from workplace data, and integrating conversational AI into real-time tools like Slack and dashboards. You’ll collaborate closely with workplace teams to drive next-gen GenAI innovation across our digital operations. This role blends hands-on technical depth with strategic problem-solving, focused on advancing workplace intelligence through applied AI. These solutions will power use cases like conversational CSAT analytics, smart menu planning, intelligent document retrieval, and FM ticket summarization. **What You’ll Do** Design, develop, and deploy machine learning models using Vertex AI to solve complex, real-world workplace challenges, ensuring scalability and maintainability. Enable fast, meaningful access to workplace data by designing and implementing Retrieval-Augmented Generation (RAG) pipelines using Vertex AI, LangChain, LLamaIndex, or similar frameworks. Enhance decision-making through natural language interfaces by fine-tuning or prompt-engineering LLMs (e.g., Gemini, PaLM, OpenAI) for summarization, Q&A, and task automation. Develop and implement GenAI solutions by collaborating with cross-functional teams, supporting the successful execution of AI projects across diverse workplace domains. Unlock context-aware GenAI applications by ingesting and preprocessing structured and unstructured Workplace Experience (WX) data from BigQuery, building semantic indexes and optimizing retrieval workflows. Develop and optimize search models, pipelines, and workflows for efficient data retrieval, semantic indexing, and relevance ranking using Vertex AI and custom model pipelines. Utilize Vertex AI AutoML and search services to build custom retrieval models and integrate them into applications and platforms, ensuring seamless user experiences. Deliver AI-powered user experiences in daily workflows by building and deploying scalable inference services integrated with tools like Slack bots, dashboards, and internal web applications. Support and maintain ML systems using open-source tools and libraries including TensorFlow, PyTorch, Keras, Scikit-learn, and SpaCy, applying best practices for optimization, monitoring, and resilience. Conduct model tuning and optimization to improve model accuracy, efficiency, and robustness across a range of retrieval and generative tasks. Implement best practices for data indexing, query optimization, and performance tuning within the Vertex AI ecosystem, ensuring efficiency and cost-effectiveness. Work collaboratively with cross-functional stakeholders including data engineers, data analysts, and workplace operations to gather requirements and deliver impactful AI solutions. Document technical architecture, design specifications, and operational workflows to support knowledge sharing, governance, and future scalability of AI systems. **What You’ll Need** Master’s or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field Minimum 5 years of full software development lifecycle (SDLC) experience, including coding standards, code reviews, source control, testing, CI/CD, and operational deployment Minimum 5 years of experience leading the design or architecture of new and existing systems, with an emphasis on scalable AI/ML solutions Minimum 3 years of hands-on experience building and deploying machine learning models in production environments Minimum 3 years of extensive experience with Google Cloud Platform (GCP) data services, including BigQuery, Dataflow, Dataproc, Cloud Storage, and Pub/Sub Minimum 2 years of experience architecting high-impact Generative AI (GenAI) solutions, including natural language interfaces and enterprise automation Minimum 2 years of practical experience with RAG technologies, LLM frameworks, LLM model registries, embedding models, vector databases, and LLM APIs Minimum 2 years of experience in Predictive Analytics, Data Design, Generative AI, Machine Learning, and MLOps practices Proven expertise with Vertex AI, including use of Model Garden, Pipelines, and Agent Builder for deploying GenAI applications Strong programming skills in Python, along with practical experience using SQL and integrating ML solutions with core GCP services Familiarity with vector databases such as FAISS, Pinecone, or Weaviate, and embedding models like Sentence Transformers or BERT Experience integrating AI/ML models into real-time systems such as Slack bots, dashboards, web APIs, or cloud functions Deep understanding of MLOps best practices, including CI/CD, model versioning, observability, and lifecycle management using tools such as DVC, MLflow, or equivalent frameworks **Preferred Qualifications** Hands-on experience with LangChain, LLamaIndex, or other frameworks for building RAG pipelines on Vertex AI Familiarity with Workplace Experience (WX) data sources such as space utilization, CSAT scores, occupancy metrics, or facilities ticketing systems Knowledge of Generative AI applications in domains like operations, user support, or experience management Experience building and optimizing semantic search systems, including evaluation of retrieval quality (e.g., recall, relevance, hallucination rates) Google Cloud certifications such as Professional Machine Learning Engineer or Professional Cloud Architect **Why CBRE?** When you join CBRE, you become part of a global leader in commercial real estate and investment services that help businesses and people thrive. We are dynamic problem solvers and forward-thinking professionals who create significant impact! Our collaborative environment is built on our shared values — respect, integrity, service, and excellence — and we value the varied perspectives, backgrounds, and skills s of our people. At CBRE, you have the opportunity to chart your own course and realize your full potential! **Disclaimers** Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future. CBRE carefully considers multiple factors to determine compensation, including a candidate’s education, training, and experience. The minimum salary for the Sr AI/ML Engineer position is $150,000.00 annually and the maximum salary for the Sr AI/ML Engineer position is $170,000.00 annually. The compensation that is offered to a successful candidate will depend on the candidate’s skills, qualifications, and experience. Successful candidates will also be eligible for a discretionary bonus based on CBRE’s applicable benefit program. **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). CBRE GWS CBRE Global Workplace Solutions (GWS) works with clients to make real estate a meaningful contributor to organizational productivity and performance. Our account management model is at the heart of our client-centric approach to delivering integrated real estate solutions. Each client is entrusted with a dedicated leader and is supported by regional and global resources, leveraging the industry's most robust platform. CBRE GWS delivers consistent, measurably superior outcomes for our clients at every stage of the lifecycle, and across industries and geographies. Find out more (https://www.cbre.com/real-estate-services/directory/global-workplace-solutions) CBRE, Inc. is an Equal Opportunity and Affirmative Action Employer (Women/Minorities/Persons with Disabilities/US Veterans)