Forward-Deployed AI Engineer: Rapid Prototyping & Architecture

Jones Lang LaSalle Incorporated; United States; On-site; USD 220,000 - 320,000; Full time

Benefits offered by this job

401(k) plan with matching company""s

Comprehensive Medical, Dental & Vision

Paid parental leave

Paid Time Off

Daily Pay

Job summary

Jones Lang LaSalle (JLL) is seeking a Forward Deployed Engineer to operate at the front lines of innovation, deploying AI-powered solutions with enterprise-grade standards and rapid delivery timelines.

You will work directly with subject matter experts and engineering teams to prototype and scale AI-enabled infrastructure, building production-ready prototypes in days rather than months. The role demands strong communication and a proven ability to instruct non-technical stakeholders.

Qualifications

• 15+ years Software / Infrastructure Development.
• Hands-on experience building AI agents, including defining agent skills, tool use, memory, and multi-step reasoning.
• Experience with AI-Augmented Engineering (Harness Engineering) — actively use tools like Claude Code, Codex, or equivalent assistants to accelerate coding, documentation, and problem-solving day-to-day.
• Direct experience with AWS Agent Core or equivalent — building, deploying, and operating agents in production.
• Working knowledge of Model Context Protocol (MCP) — including building or consuming MCP servers to connect agents with external systems.
• Experience with agentic frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel.
• Proficiency in Python and at least one front-end framework (React, Vue.js, or Angular).
• Experience with cloud platforms (AWS, Azure, or GCP).
• Exceptional communication and interpersonal skills — you can earn trust quickly, navigate ambiguity, and drive alignment across diverse teams.
• Comfort working in fast-paced environments with shifting priorities and high ownership expectations.

Responsibilities

• Solution Design & Architecture: Lead solution design for complex, cross-functional data and AI problems — from initial discovery through to technical blueprint.
• Rapid Prototyping & Solution Delivery: Design and deliver working prototypes for complex data and AI problems within compressed timeframes, often days to weeks.
• AI Agent Development: Design, build, and deploy AI agents and multi-agent systems that automate complex workflows end-to-end.
• Collaboration & Stakeholder Engagement: Embed directly with product, program, and engineering teams to co-define problems and co-deliver solutions.

Skills

AI agents

Architecture

AWS Agent Core

MCP

LangChain

Python

Frontend framework

Cloud platforms

Communication

Fast-paced environment

Tools

Docker

Kubernetes

GitHub Actions

LangChain

LangGraph

AutoGen

CrewAI

Semantic Kernel

Job description

Jones Lang LaSalle (JLL) is seeking a Forward Deployed Engineer to operate at the front lines of innovation, deploying AI-powered solutions with enterprise-grade standards and rapid delivery timelines.

You will work directly with subject matter experts and engineering teams to prototype and scale AI-enabled infrastructure, building production-ready prototypes in days rather than months. The role demands strong communication and a proven ability to instruct non-technical stakeholders.