Jones Lang LaSalle Incorporated

Forward Deployed Engineer

Jones Lang LaSalle Incorporated
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2 months ago
Chicago, IL, USA or San Francisco, CA, USASenior

Base Salary

$280k - $300k/yr

Responsibilities

  • Lead discovery, solution design, architecture, trade-off analysis, and technical blueprinting for complex data and AI problems.
  • Design and deliver production-ready prototypes and solutions within compressed days-to-weeks timeframes.
  • Create architecture diagrams, data-flow maps, API contracts, solution briefs, and other technical documentation.
  • Build intuitive front-end interfaces and dashboards that make data and AI outputs accessible to business users.
  • Design, build, deploy, and maintain AI agents, multi-agent systems, reusable agent skills, and agentic pipelines.
  • Implement and extend MCP servers and clients to connect agents with enterprise tools, APIs, and data sources.
  • Develop evaluation harnesses, guardrails, monitoring, and observability pipelines for reliable and safe agent production systems.
  • Integrate LLMs, RAG systems, and ML models into production workflows.
  • Embed with product, program, and engineering teams, influence technical direction, and communicate with non-technical stakeholders and executives.
  • Mentor junior engineers and promote effective patterns for agentic development, prompt design, and rapid delivery.

Requirements

  • 8+ years of professional software engineering experience, including ownership of solution design and architecture.
  • Demonstrated ability to architect end-to-end systems from requirements through deployment and communicate decisions clearly.
  • Hands-on experience building AI agents with skills, tool use, memory, and multi-step reasoning.
  • Direct production experience building, deploying, and operating agents with AWS Agent Core or an equivalent.
  • Working knowledge of Model Context Protocol, including building or consuming MCP servers.
  • Experience with agentic frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel.
  • Proficiency in Python and at least one of React, Vue.js, or Angular.
  • Experience with AWS, Azure, or GCP.
  • Experience using AI-augmented engineering assistants such as Claude Code, Codex, or equivalent tools.
  • Strong communication, interpersonal, stakeholder-alignment, ownership, and ambiguity-management skills.
  • Preferred experience includes RAG architectures, Pinecone, Weaviate, pgvector, prompt engineering, fine-tuning, LLM evaluation, and agent observability or tracing tools.
  • Preferred experience includes LangSmith, Arize, Weights & Biases, Docker, Kubernetes, and GitHub Actions.
  • Experience in real estate, financial services, or other data-intensive enterprise domains and experience facilitating technical discovery workshops, design sprints, or architecture reviews are desirable.

Benefits

  • Estimated base compensation is $280,000.00–$300,000.00 per year.
  • Comprehensive medical, dental, and vision care.
  • 401(k) plan with matching company contributions.
  • Paid parental leave at 100% of salary.
  • Paid time off and company holidays.
  • Early access to earned wages through Daily Pay.
  • On-site role in Chicago, Illinois, or San Francisco, California.
  • JLL does not provide visa sponsorship; candidates must be authorized to work in the United States without sponsorship.

Categories

Forward Deployed
Jones Lang LaSalle Incorporated

About Jones Lang LaSalle Incorporated

10,000+ employees
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