Director, Software Engineering

JLL empowers you to shape a brighter way.  

Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong.  Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.   

About JLL and JLL Technologies

JLL is a leading professional services firm that specializes in real estate and investment management. Our vision is to reimagine the world of real estate, creating rewarding opportunities and amazing spaces where people can achieve their ambitions. In doing so, we will build a better tomorrow for our clients, our people, and our communities.

JLL Technologies is a specialized group within JLL. At JLL Technologies, our mission is to bring technological innovation to commercial real estate. We deliver unparalleled digital advisory, implementation, and services solutions to organizations globally. Our goal is to leverage technology to increase the value and liquidity of the world's buildings, while enhancing the productivity and happiness of those that occupy them.

Director Engineering – Research Technology   

Location: New York City (On-site)

Role Overview 

As Senior Engineering Manager for Research Technology & AI Agents, you will lead the engineering execution of JLL's Research transformation in close partnership with the Product Manager – Research Technology and the Research organization. This is a hands-on leadership role focused on building AI-powered platforms and agents that automate research workflows, democratize insights, and enable advanced analytics at global scale.

You will champion an AI-augmented engineering culture where the team delivers high-quality, reliable, and scalable outcomes at speed by orchestrating AI development tools, enterprise software agents, and strong engineering judgment. A creative and collaborative thinker at heart, you thrive on solving novel problems alongside product managers, researchers, and data scientists — locking arms across disciplines to passionately build what hasn't been built before. Your role is to set the quality bar, establish effective AI-assisted development practices, and ensure the team leverages these tools to maximize velocity without compromising production standards - all in service of bringing a truly groundbreaking AI-enabled research platform to life.

This role is intentionally co-located in NYC with Product and Research to enable rapid daily iteration between product vision, technical execution, and real researcher feedback — critical for effective AI agent development and deployment. 

Key Responsibilities 

Engineering Leadership & Execution 

• Lead and mentor high-impact engineering team, including senior engineers 

• Operate as a hands-on player-coach, contributing to architecture, design, and code reviews 

• Establish and evolve team practices for AI-augmented development — ensuring AI coding assistants and enterprise software agents are leveraged effectively across the development lifecycle 

• Set clear expectations that engineering judgment, code review rigor, and quality validation remain the responsibility of the engineer, not the AI tool 

Partnership with Product & Research 

• Partner closely with the Product Management – Research Technology on discovery, roadmap execution, and prioritization 

• Work directly with Research users to understand current workflows and future plans and  translate them into effective tooling 

• Enable rapid iteration cycles through tight collaboration with Product and Research teams 

AI Agents & Platform Development 

• Design and build AI agents that automate research processes and assist insight generation 

• Lead integration of LLMs, agent orchestration, evaluation, and monitoring capabilities 

• Build scalable services, APIs, and internal tools that support agent-driven analytics 

• Define and enforce quality gates — automated testing, evaluation benchmarks, and guardrails — for agent-driven outputs 

• Cont