JLL (NYSE: JLL) is a leading professional services and investment management firm specializing in real estate. We are a Fortune 500 company with operations in over 80 countries, a workforce of nearly 100,000 individuals around the world, and annual revenue of almost $20B. Within JLL, we are part of JLL Technologies, a strategic business group whose mission is to leverage technology to increase the value and liquidity of the world's buildings.

JLL (NYSE: JLL) is a leading professional services and investment management firm specializing in real estate. We are a Fortune 500 company with operations in over 80 countries, a workforce of nearly 100,000 individuals around the world, and annual revenue of almost $20B. Within JLL, we are part of JLL Technologies, a strategic business group whose mission is to leverage technology to increase the value and liquidity of the world's buildings.

We established a centralized AI Platform team to democratize AI capabilities enterprise-wide while maintaining security, compliance, and quality standards. Our mission is to empower JLL's 100,000+ employees to innovate and drive productivity through AI-embedded directly into their daily workflows.

JLL Falcon is our enterprise AI platform that makes AI capabilities simple, reliable, and accessible across every commercial real estate workflow. We deliver conversational AI (JLL GPT), intelligent assistants (Outlook Assistant), and developer-specific tools. Our vision is to enable AI agents that can complete tasks autonomously-shifting from assistive AI to agentic AI that reduces manual work and accelerates decision-making.

As a Data Scientist on the JLL Falcon team, you'll be working on critical platform capabilities that enable AI agents, evaluation frameworks, and cutting-edge AI technologies at enterprise scale. This role is based in San Francisco, where you'll work closely with your data science and product partners to drive the platform's AI capabilities forward.

• Cutting-edge AI work: Build and enable platform capabilities for AI agents, working with modern technologies including RAG, LangChain, LangGraph, advanced evaluation frameworks, and more.
• Enterprise impact: Your work will directly impact how 100,000+ employees interact with AI across JLL's global operations.
• Small team, big resources: Work in a focused, collaborative team with the resources and support of a Fortune 500 company.
• Critical role: This position is essential to the team's roadmap and represents a unique opportunity to shape the future of AI at JLL.

• Develop, evaluate, and continuously improve genAI using engineering and advanced data science approaches
• Design and develop intelligent agent architectures using frameworks like LangChain and LangGraph for autonomous decision-making and task execution
• Build comprehensive evaluation frameworks for models, assistants, and agents, including stable evaluation datasets and core metrics
• Implement advanced Retrieval-Augmented Generation (RAG) techniques to enhance agent knowledge and capabilities
• Partner with multi-functional peers from engineering, product, and business to deliver AI solutions
• Communicate results orally and in writing to facilitate collaboration and team growth.

• Master's degree (PhD preferred) in data science, computer science, mathematics, AI, machine learning, or related STEM fields
• 2+ years of industry experience in a data science, researcher, or machine learning role
• Experience working on data science projects end-to-end including planning, data exploration, data processing, model development, evaluation, model deployment to production, and project presentation to stakeholders
• Hands-on experience with frameworks like LangChain, LangGraph, or similar tools for building and orchestrating LLM-powered applications
• Experience with rigorous evaluation and assessment of AI models and systems
• Experience working on data science projects end-to-end including planning, data exploration, data processing, model development, evaluation, model deployment to production, and project presentation to stakeholders
• Experience with multi-agent systems and agent communication protocols - Advantage
• Knowledgeable in commercial real estate sector - Advantage
• Eagerness to contribute to the broader scientific community via teaching, open source contributions, blogging, publishing, organizing events, etc. - Advantage