Forward Deployed Engineer
Jones Lang LaSalle Incorporated18 hours ago
Chicago, IL, USA +2 moreSenior
Base Salary
$150k - $300k/yr
Responsibilities
- Lead solution design and architecture for complex cross-functional data and AI problems from discovery through deployment.
- Create architecture decisions, technical blueprints, diagrams, data-flow maps, API contracts, solution briefs, and documentation.
- Rapidly design and deliver production-ready prototypes that translate ambiguous business requirements into technical solutions.
- Develop 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.
- Build or consume 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 production agents.
- Integrate LLMs, RAG systems, and ML models into production workflows.
- Embed with product, program, and engineering teams; communicate with technical and non-technical stakeholders and influence direction without formal authority.
- Mentor junior engineers and promote 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 involving agent skills, tool use, memory, and multi-step reasoning.
- Experience using AI-augmented engineering tools such as Claude Code, Codex, or equivalent assistants.
- Direct experience with AWS Agent Core or an equivalent platform for building, deploying, and operating production agents.
- Working knowledge of Model Context Protocol, including building or consuming MCP servers.
- Experience with 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.
- Strong communication, interpersonal, collaboration, ownership, and ambiguity-navigation skills.
- Preferred experience with RAG architectures, Pinecone, Weaviate, pgvector, semantic search, prompt engineering, fine-tuning, or LLM evaluation.
- Preferred experience with LangSmith, Arize, Weights & Biases, Docker, Kubernetes, or GitHub Actions.
- Experience in real estate, financial services, or another data-intensive enterprise domain is desirable.
- Experience facilitating technical discovery workshops, design sprints, or architecture reviews is desirable.
Benefits
- 401(k) plan with matching company contributions.
- Comprehensive medical, dental, and vision care.
- Paid parental leave at 100% of salary.
- Paid time off and company holidays.
- Early access to earned wages through Daily Pay.
- On-site role located in Chicago, IL; Dallas, TX; or San Francisco, CA.
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).