Forward Deployed Engineer

Position: Staff Forward Deployed Engineer
## Staff Forward Deployed Engineer Solliciterenremote type:
On-site locations:
Chicago, IL:
Los Angeles, CA:
San Francisco, CA:
Seattle, WA:
Menlo Park, CAtime type:
Full time posted on:
Vandaag geplaatstjob requisition :
REQ
520628
** 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.
** Role Overview
** As a Staff Forward Deployed Engineer, you will operate at the front lines of innovation — embedded directly with multiple cross-functional teams to rapidly design, architect, prototype, and deploy solutions that solve their highest-priority problems. This is not a traditional engineering role with long delivery cycles: you will be expected to go from concept to working prototype in days, not months, while maintaining enterprise-grade standards for quality, security, and scalability.

You will act as the embedded technical owner across several teams simultaneously — diagnosing their workflow and data problems, then architecting and building the fix yourself. You will use modern AI coding assistants day-to-day to design and implement solutions, and you're expected to be fluent extending that toolset — building custom plugins/skills, redesigning data pipelines and data flows, and deploying agents to production via AWS Bedrock Agent Core.

At the Staff level, your impact extends beyond any single team: you define the patterns and playbooks other engineers use to deliver, and you act as the escalation point for the hardest technical and stakeholder problems across the portfolio.

You bring an exceptional combination of skills: deep hands-on engineering experience across AI agents, data architecture, and full-stack development, and the interpersonal skills to earn trust, drive alignment, and influence without authority across multiple teams  are equally comfortable whiteboarding a system architecture with senior stakeholders and shipping production code the same afternoon.
** Key Responsibilities
*** Solution Design & Architecture
** Lead solution design for complex, cross-functional data and AI problems — from initial discovery through to technical blueprint
* Evaluate and select the right tools and architecture for each problem — no single stack applies across every team you support, so you must be able to reason across different platforms, data sources, and integration patterns
* Define and communicate architecture decisions, trade-offs, and delivery approaches to both technical and non-technical audiences
* Design scalable, modular systems that balance speed with enterprise standards for reliability, security, and maintainability
* Create clear technical documentation: architecture diagrams, data flow maps, API contracts, and solution briefs
* Establish reusable architecture patterns and reference designs that other engineers adopt across engagements
* AI-Assisted Solution Delivery
** Use AI coding assistants as your primary development environment for day-to-day solution building — from prototyping through production implementation
* Build and maintain custom plugins/skills for your AI coding assistant that package reusable capabilities for recurring problems across teams
* Redesign and rebuild data pipelines and data flows to unblock use cases — including source integration, transformation logic, and downstream delivery
* Deploy and operate AI agents in production via AWS Bedrock Agent Core
* Translate ambiguous business requirements from stakeholders into concrete technical solutions with minimal hand-holding
* Balance speed of delivery with enterprise standards — your prototypes are production-ready, not throwaway
* Develop intuitive front-end interfaces and dashboards that bring data and AI outputs to life for…