Rapid AI Solutions Architect & Prototyper

JLL; Chicago (IL); On-site; USD 280,000 - 300,000; Full time

Job summary

JLL is seeking a Forward Deployed Engineer to operate at the front lines of innovation, prototyping and deploying enterprise-grade AI-driven solutions in days, not months. You will work directly with product and engineering teams to design, architect, and deliver complex, data-centered systems and intuitive dashboards for business users.

The role demands hands-on AI agent development, multi-agent orchestration, and experience with platforms like AWS Agent Core, MCP, and LangChain.

Qualifications

• 8+ years of professional software engineering, with architecture ownership.
• Hands-on AI agents development and end-to-end system design.
• Experience with AWS Agent Core or similar and MCP servers/clients.
• Proficiency in Python and a modern frontend framework; cloud familiarity.
• Strong communication to align stakeholders and drive decisions.

Responsibilities

• Lead solution design for cross-functional data and AI problems from discovery to blueprint.
• Define architecture decisions and communicate trade-offs to technical and non-technical audiences.
• Design scalable systems balancing speed with reliability, security, and maintainability.
• Develop working prototypes in compressed timeframes and production-ready code.
• Build AI agents, agent skills, and integrate with enterprise tools and data sources.

Skills

AI agents

Full-stack dev

Python

Frontend (React/Vue/Angular)

AWS Agent Core

LangChain

MCP

CI/CD

Tools

Claude Code

Codex

LangChain

Docker

Kubernetes

GitHub Actions

Job description

JLL is seeking a Forward Deployed Engineer to operate at the front lines of innovation, prototyping and deploying enterprise-grade AI-driven solutions in days, not months. You will work directly with product and engineering teams to design, architect, and deliver complex, data-centered systems and intuitive dashboards for business users.

The role demands hands-on AI agent development, multi-agent orchestration, and experience with platforms like AWS Agent Core, MCP, and LangChain.