Lead AI Engineer

LaSalle Network; Chicago (IL); Hybrid; USD 170,000 - 321,000; Full time

Job summary

LaSalle Network seeks a Lead AI Engineer to design, build, and scale enterprise-grade agentic AI solutions across lease administration, construction project management, portfolio management, and financial modeling. This hands-on leadership role requires taking AI beyond proof-of-concept into production at scale.

The role collaborates with architects and global teams, including India-based counterparts, and involves early-morning overlap with time zones.

Qualifications

• 4+ years as a senior AI/ML engineer with production agentic AI implementations.
• Experience taking agentic AI solutions to enterprise production at scale.
• Strong hands-on Python and AI/ML frameworks (LangChain, LlamaIndex, Transformers, PyTorch).
• Experience integrating LLMs with enterprise applications, multi-agent orchestration, RAG, and prompt engineering.
• Experience with cloud AI services (Azure preferred, including Azure OpenAI), vector databases, and containerization (Docker, Kubernetes).
• Proven ability to collaborate with architects and multiple teams across a distributed, global organization.
• Excellent communication and cross-functional collaboration skills.
• Willingness to work early-morning hours to overlap with international teams.

Responsibilities

• Lead the design and delivery of multiple production-grade agentic AI solutions.
• Collaborate with architects and engineering teams to build scalable enterprise-ready solutions.
• Move solutions from prototyping to deployment and scale with disciplined engineering practices.
• Integrate LLMs with enterprise applications and data platforms.
• Serve as a technical partner to centralized teams and remove blockers.
• Coordinate with a globally distributed org, including India-based architects, across time zones.

Skills

Senior AI/ML engineer

Python

LangChain

LlamaIndex

Transformers

PyTorch

LLM integration

Prompt engineering

Azure OpenAI

Vector databases

Cross-functional collaboration

Leadership

Tools

Docker

Kubernetes

Databricks

AWS Bedrock

Google Vertex AI

Job description

Location: Remote (United States), Eastern time zone preferred. Hybrid, approximately 3 days per week onsite at a major U.S. office.

Our client, a leading global commercial real estate and investment management firm, is investing heavily in agentic AI to transform how its business operates. They are seeking a Lead AI Engineer to design, build, and scale enterprise-grade agentic AI solutions across multiple business lines, including lease administration, construction project management, portfolio management, and financial modeling. This is a hands-on leadership role for an engineer who has taken agentic AI beyond proof-of-concept and into production at enterprise scale.

What You Will Do

• Lead the design and delivery of multiple production-grade agentic AI solutions that automate and enhance core business workflows.
• Collaborate at the design level with architects and engineering teams to build scalable, enterprise-ready solutions across several business lines.
• Move solutions from rapid prototyping through hardening, deployment, and scale, applying strong engineering discipline to AI-generated components.
• Integrate large language models with enterprise applications, data platforms, and external systems.
• Serve as a key technical partner to centralized and cross-functional teams, providing support and unblocking dependencies.
• Partner with a globally distributed engineering organization, including architects based in India, with regular early-morning overlap to collaborate across time zones.

What You Will Bring

• 4+ years of experience as a senior AI/ML engineer, including multiple complete, production agentic AI implementations.
• Demonstrated success taking agentic AI solutions to enterprise-grade production and scale, not proof-of-concept only.
• Strong hands-on Python and modern AI/ML frameworks such as LangChain, LlamaIndex, Transformers, and PyTorch.
• Experience integrating LLMs with enterprise applications, multi-agent orchestration, retrieval-augmented generation (RAG), and prompt engineering.
• Experience with cloud AI services (Azure preferred, including Azure OpenAI), vector databases, and containerization (Docker, Kubernetes).
• Proven ability to collaborate at the design level with architects and multiple teams across a distributed, global organization.
• Excellent communication and cross-functional collaboration skills.
• Willingness to work early-morning hours as needed to overlap with international teams.

Preferred Qualifications

• Experience with Databricks and modern data platforms.
• Forward-deployed engineering experience.
• Experience with AWS Bedrock or Google Vertex AI.
• Background in commercial real estate, financial services, or a related data-rich domain.

Compensation And Benefits

• Compensation: $170,000 - $320,700 base salary annually, depending on work location, plus eligibility for a 20% annual target bonus.
• Base salary is calibrated to work location. Representative ranges by market: Atlanta and Dallas $170,000 - $246,700; Chicago $187,000 - $271,000; Boston $204,000 - $296,000; San Francisco $221,000 - $320,700.
• Benefits: As a direct-hire employee, you will have access to a comprehensive benefits package, including medical, dental, and vision coverage; health savings and flexible spending accounts; a 401(k) with company match; company-paid life and disability insurance; generous paid time off; paid parental leave; fertility and family-planning support; and a range of physical, mental, and financial well-being programs.

This is a rare opportunity to lead enterprise AI at scale and shape how a global organization adopts agentic technology. Our client is moving quickly and interviewing now.

LaSalle Network is an Equal Opportunity Employer m/f/d/v.

All assignments are at-will and their duration is subject to change.