Forward Deploy Engineer

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🔥 7 minutes ago

🏄 California, Illinois – Remote

🏄 California – Remote 🌽 Illinois – Remote

💵 $220k - $320k / year

⏰ Full Time

🟠 Senior

🔴 Lead

👷🏻‍♀️ Engineer

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Jones Lang LaSalle Americas, Inc.

WebsiteLinkedInAll Job Openings

10,000+ employees

🏠 Real Estate

🤝 B2B

💼 Consulting

Real Estate • B2B • Consulting

Jones Lang LaSalle Americas, Inc. is a company that provides commercial real estate services for corporations and investors worldwide. Their focus is on helping clients save money, increase productivity, and improve sustainability in real estate operations.

📋 Description

• 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 • Design and deliver working prototypes for complex data and AI problems within compressed timeframes, 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 • 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 techniques and tooling to the team • Embed directly with product, program, and engineering teams to co-define problems and co-deliver solutions • Influence technical direction and build alignment across teams without relying on formal authority • Communicate complex technical concepts clearly to non-technical business stakeholders — in writing, in meetings, and in executive presentations • Mentor and elevate junior engineers, sharing patterns and practices for agentic development, prompt design, and rapid delivery • Foster a collaborative, low-ego team culture where speed and quality go hand in hand.

🎯 Requirements

• 15+ years Software / Infrastructure Development • Demonstrated ability to architect end-to-end systems — from requirements through deployment — with clear documentation and stakeholder communication • 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.

🏖️ Benefits

• 401(k) plan with matching company contributions • Comprehensive Medical, Dental & Vision Care • Paid parental leave at 100% of salary • Paid Time Off and Company Holidays • Early access to earned wages through Daily Pay