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Forward Deploy Engineer

Job in Long Beach, Los Angeles County, California, 90801, USA
Listing for: Jones Lang LaSalle Incorporated
Full Time position
Listed on 2026-10-08
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Architect
Salary/Wage Range or Industry Benchmark: 220000 - 320000 USD Yearly USD 220000.00 320000.00 YEAR
Job Description & How to Apply Below
About JLL

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 Forward Deployed Engineer, you will operate at the front lines of innovation — embedded directly with subject matter experts, product, and engineering teams to rapidly design, architect, prototype, and deploy solutions that solve high-priority business 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 bring an exceptional combination of skills: deep hands‑on engineering experience across AI agents and full-stack development, and the interpersonal skills to earn trust, drive alignment, and influence without authority. You are equally comfortable whiteboarding a system architecture with senior stakeholders and writing production code the same afternoon. You have direct experience developing agents on platforms like AWS Agent Core, and you thrive in fast, ambiguous environments where creative thinking and execution speed matter.

In this variety for Forward Deploy Engineer, your focus will be rooted in Infrastructure initiatives reporting directly to the Global Head of Infrastructure Development.

Key Responsibilities
  • Solution Design & Architecture
    Lead solution design for complex, cross‑functional data and AI problems — from initial discovery through to technical blueprint
    Define and communicate architecture decisions, trade‑offs, and delivery approaches to both technical and non‑technical audiences
    Design scalable, modular systems that balance the need for speed with enterprise standards for reliability, security, and maintainability
    Participate in architecture reviews, ensuring alignment with enterprise patterns and platform standards
    Create clear technical documentation: architecture diagrams, data flow maps, API contracts, and solution briefs
  • Rapid Prototyping & Solution Delivery
    Design and deliver working prototypes for complex data and AI problems within compressed time frames, often days to weeks
    Translate ambiguous business requirements into concrete technical solutions with minimal hand‑holding
    Balance speed of delivery with enterprise standards — your prototypes are production‑ready, not throwaway
    Continuously iterate on solutions based on direct feedback from product managers, program leads, and end users
    Develop intuitive front‑end interfaces and dashboards that bring data and AI outputs to life for business users
    Apply strong UX instincts to simplify complex flows and make agent outputs accessible and actionable for non‑technical stakeholders
  • AI Agent Development
    Design, build, and deploy AI agents and multi‑agent systems that automate complex workflows end‑to‑end
    Develop and maintain agent skills — discrete, reusable capabilities that compose into larger agentic pipelines
    Implement and extend Model Context Protocol (MCP) servers and clients to connect AI agents with enterprise tools, APIs, and data sources
    Design evaluation harnesses, guardrails, and monitoring pipelines to ensure agent reliability and safety in production
    Stay current with the rapidly evolving agentic AI landscape and proactively introduce new…
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