Lead AI Engineer

Lead AI Engineer
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. If you are ready to build production AI that makes a real business impact, apply today.

Cat Ardila
VP of Technology Partnerships
LaSalle Network

#DICE
#LI-SK1