Lead AI Engineer

JLL (Jones Lang LaSalle)

Quick summary

Work type: On-site
Location: Atlanta, GA · Boston, MA · Chicago, IL · Dallas, TX · San Francisco, CA
Salary: $167,400–$205,100 / yr
Posted: 3 days ago
Closes: Aug 28, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $214k

This role $186k

$157k most similar roles pay here $268k

This role pays less than 72% of similar roles. Most pay $182,181–$246,150 — the shaded band above. At the midpoint, this role pays about $186k versus about $214k 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 28 open roles on FindRole.

Listed pay typically runs $140,000–$170,000 across 17 roles with salary data.

Most-posted roles

View all roles at JLL (Jones Lang LaSalle)

At a glance

TL;DR · Lead AI Engineer

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Join our team as a Senior AI/ML Developer at JLL, where you will design and build intelligent AI agent systems and LLM-based applications within enterprise settings. With 4-6 years of hands-on experience in cloud AI services like Azure OpenAI, AWS Bedrock, and Google Vertex AI, you will develop multi-agent architectures, RAG systems, and autonomous workflows using Python frameworks such as LangChain, LlamaIndex, and PyTorch. Your daily tasks include fine-tuning large language models, optimizing model performance, and integrating AI solutions with enterprise applications. You must be proficient in deploying AI agents across various environments, managing stakeholder communication, and documenting technical designs. This role requires expertise in vector databases, knowledge graphs, and MLOps tools to solve complex business problems through innovative AI technologies.

Skills

Python LangChain LlamaIndex Transformers Azure OpenAI AWS Bedrock Google Cloud AI Kubernetes Docker FastAPI Flask Pinecone Weaviate ChromaDB MLOps Prometheus Postman SQL NoSQL Git JavaScript TypeScript

What you'll do

Design and build intelligent AI agent systems using Large Language Models.
Develop autonomous workflow solutions for complex business tasks.
Integrate LLMs with external systems and enterprise applications effectively.
Advise on best practices for AI agent development and project timelines.
Deploy AI models in multiple environments, including production settings.
Manage stakeholder communication regarding AI capabilities and limitations.

What we're looking for

4-6 years’ experience developing agentic AI systems with multiple implementations.
Proficient in LLM fine-tuning, prompt engineering, and model optimization.
Expertise in designing RAG systems and integrating LLMs with enterprise applications.
Demonstrated proficiency in Python AI/ML frameworks like LangChain and Transformers.
Experience deploying AI models across development environments and optimizing performance.
Familiarity with cloud AI platforms (Azure OpenAI, AWS Bedrock, Google Cloud AI).
Degree in Computer Science, AI/ML or equivalent experience.

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