Forward Deployed Engineer
Jones Lang LaSalle Incorporated3 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.
Tech Stack
Categories
Forward Deployed
About Jones Lang LaSalle Incorporated
JLL is a global commercial real estate services and investment management firm serving occupiers and investors. It provides property and facilities management, leasing and tenant representation, capital markets, project and development services, workplace strategy, sustainability, and real estate technology and analytics, with a fee- and commission-based advisory, outsourcing, transaction, and management-fee model. Headquartered in Chicago, it is a public company listed on the NYSE (JLL).