Note: The job is a remote job and is open to candidates in USA. LaSalle Network is a leading global commercial real estate and investment management firm, seeking a Lead AI Engineer to design and scale enterprise-grade agentic AI solutions. This hands-on leadership role involves collaborating with various teams to automate and enhance business workflows across multiple lines.

Responsibilities

• 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

Skills

• 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
• 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

Benefits

• Eligibility for a 20% annual target bonus
• 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
• A range of physical, mental, and financial well-being programs

Company Overview