Forward Deployed Engineer

JLL (Jones Lang LaSalle)

Confirmed live today High trust

Quick summary

Work type: On-site
Location: San Francisco, CAChicago, ILDallas, TX
Salary: $150,000–$300,000 / yr
Employment: Full-time
Posted: 12 days ago
Freshness: Confirmed live today
Closes: Nov 27, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $191k

This role $225k

$128k most similar roles pay here $318k

This role pays more than 74% of similar roles. Most pay $152,000–$229,125 — the shaded band above. At the midpoint, this role pays about $225k versus about $191k for comparable roles.

Based on 240 similar postings.

Employer

About JLL (Jones Lang LaSalle)

JLL (Jones Lang LaSalle) is a global professional services firm specializing in real estate and investment management, providing services to buyers, sellers, tenants, landlords, investors, and developers. Industry: Commercial Real Estate Services

JLL (Jones Lang LaSalle) currently has 23 open roles on FindRole.

Listed pay typically runs $155,000–$195,000 across 18 roles with salary data.

Most-posted roles

View all roles at JLL (Jones Lang LaSalle)

At a glance

TL;DR · Forward Deployed Engineer

Role Posting Log in to save

As a Forward Deployed Engineer, you will operate at the front lines of innovation by collaborating directly with product and engineering teams to solve high-priority business problems through rapid prototyping and solution design. You will architect scalable systems, develop production-ready prototypes within compressed timeframes, and build complex AI agentic pipelines to automate workflows. The role requires hands-on experience in full-stack development using Python and front-end frameworks like React, Vue.js, or Angular. Key technical requirements include proficiency with AWS Agent Core, Model Context Protocol (MCP), and frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel. You will also utilize RAG architectures, vector databases, and LLM evaluation techniques to integrate AI into production workflows. This role focuses on solving complex data and AI challenges within a high-speed, ambiguous environment requiring both technical depth and strong stakeholder communication.

What does a Forward Deployed Engineer earn?

Median $219575 from 36 postings across 20 companies.

See salary data

Skills

AI Agents Python AWS LangChain LangGraph AutoGen CrewAI Semantic Kernel Model Context Protocol (MCP) RAG Vector Databases Pinecone Weaviate pgvector React Vue.js Angular Docker Kubernetes CI/CD GitHub Actions

What you'll do

Design and architect scalable technical solutions for complex data and AI problems from discovery to blueprint.
Develop and deploy production-ready prototypes for AI and data challenges within accelerated timeframes.
Build and maintain multi-agent systems and reusable agent skills to automate complex workflows.
Implement Model Context Protocol (MCP) servers to connect AI agents with enterprise tools and APIs.
Create evaluation harnesses, guardrails, and monitoring pipelines to ensure the safety of production AI agents.
Develop front-end interfaces and dashboards to make AI outputs accessible for non-technical business users.
Translate ambiguous business requirements into concrete technical specifications and documentation.
Mentor junior engineers on agentic development, prompt design, and rapid delivery practices.

What we're looking for

Must have 8+ years of professional software engineering experience including solution design and architecture ownership.
Must demonstrate ability to architect end-to-end systems with clear documentation and stakeholder communication.
Must have hands-on experience building AI agents, including defining agent skills, tool use, memory, and multi-step reasoning.
Must have experience with AI-Augmented Engineering tools like Claude Code or Codex to accelerate development.
Must have direct experience with AWS Agent Core or equivalent for building and operating production agents.
Must have working knowledge of Model Context Protocol (MCP) to connect agents with external systems.
Must be proficient in Python and at least one front-end framework such as React, Vue.js, or Angular.

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