CBRE UK Advisory AI Strategy

Senior AI Engineer

CBRE's UK Advisory business is building LLM-powered agents that give brokers, transaction managers, and advisory professionals an intelligence advantage over the market. Underneath sits a structured data platform on Snowflake and AWS covering commercial property transactions, tenant occupancy, availability, investor activity, and financial KPIs – with a semantic layer that lets agents query this data through natural language.

The candidate will design and ship multi-agent workflows end-to-end: orchestrating LLM tool-calling across data sources, building retrieval and generation pipelines for document intelligence, and connecting agents to the surfaces where brokers work – from lease expiry targeting and heads of terms review to client pitch generation, investment matching, and market monitoring. The role owns the full lifecycle from scoping use cases with business SMEs through to production deployment on cloud infrastructure in wave-sequenced sprints.

Must-Have Skills:

- LLM Agent Development: Designing multi-agent systems with tool-calling, chain-of-thought reasoning, structured outputs, and context management using Claude, OpenAI, or Azure OpenAI.
- Agentic Orchestration: Building agent graphs and pipelines (LangGraph, LangChain, or equivalent); routing, disambiguation, fallback handling, and multi-step task decomposition.
- Python (5+ yrs): Async, Pydantic, FastAPI; building tool interfaces, API services, and data pipelines for production agent systems.
- RAG & Document Intelligence: Retrieval-augmented generation, document extraction,



summarization, and content generation for business cases, client decks, and reports.
- Cloud & Data Platforms: AWS (S3, Lambda, Bedrock, SageMaker, Glue, Step Functions) and/or Snowflake; deploying and scaling agent workloads on cloud infrastructure.
- SQL & Semantic Modelling: Complex joins, CTEs, star schemas; designing semantic layers that ground LLM agents in structured data with verified queries and NL-to-SQL pipelines.
- Agent Evaluation & Guardrails: Accuracy benchmarking, hallucination detection, output validation, human-in-the-loop review patterns, and safety guardrails.
- Enterprise Integration: Connecting agents to CRM, SharePoint, Teams, email, and document management systems where business users work.

Nice to Have:
- Commercial real estate or skilled services domain knowledge.
- AWS Bedrock / SageMaker for LLM hosting and fine-tuning.
- MCP (Model Context Protocol) server design.
- Snowflake Cortex Analyst / semantic views.
- RAG pipeline design (Pinecone, Weaviate, FAISS).
- Agent observability (LangSmith, Arize, Phoenix).
- AWS CDK / CloudFormation for infrastructure-as-code.
- Agentic UX design for non-technical users.

Tech Stack:

Claude API, OpenAI API, LangGraph, LangChain, AWS, Snowflake, Python, FastAPI, Pydantic, Bedrock, SageMaker, S3, Lambda, Glue, MCP Protocol, Cortex, SQL, Pinecone, Weaviate, RAGAS, LangSmith, Docker, K8s, GitHub Actions.

Interested in building AI for UK Advisory? If you are interested in this opportunity, please click on the 'Apply Now' button to submit your application.

📌 AI/ML Lead (Telangana)
🏢 First Object
📍 Telangana