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Jones Lang LaSalle

Advises on and manages commercial real estate

Principal Architect - AI Solutions

AI & Machine LearningPosted on Nov 12
Full-timeChicago, IL, USA

About the Job

Requirements

  • A bachelor's or master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • At least 12 years of experience in software engineering, architecture, or technology leadership roles.
  • Significant experience designing and guiding enterprise-grade AI solutions in production environments.
  • Deep knowledge of modern AI architecture patterns, including large language model-based applications, retrieval systems, agentic workflows, prompt and tool orchestration, and evaluation approaches.
  • Strong architecture background across distributed systems, application programming interfaces, integration, data platforms, security, and cloud-native solutions.
  • Experience establishing architecture standards, reference architectures, and technical guardrails across multiple teams.
  • Ability to influence senior technical and business stakeholders without direct authority.
  • Strong written and verbal communication skills, with the ability to tailor communication from engineering teams to executive leadership.
  • Ability to balance innovation, speed, risk management, and long-term maintainability.
  • Candidates must be authorized to work in the United States without sponsorship.

Responsibilities

  • Lead architecture for strategic AI initiatives across products, platforms, and shared enterprise capabilities.
  • Partner with business units, product leaders, and engineering teams to shape scalable, secure, and practical AI solution architectures.
  • Define and evolve architecture standards, reference patterns, and guardrails for AI solutions and AI-enabled software development.
  • Evaluate emerging AI technologies, platforms, and patterns, and guide the organization on where and how to adopt them.
  • Provide architectural leadership for capabilities, agentic workflows, AI orchestration, evaluations, AI observability, and AI governance.
  • Ensure AI solutions align with enterprise requirements for security, privacy, compliance, resiliency, observability, and maintainability.
  • Help engineering teams leverage AI-powered product development lifecycle capabilities across coding, testing, documentation, analysis, and delivery workflows.
  • Guide architecture decisions across application, data, integration, platform, and operational concerns to avoid fragmented or duplicative solutions.
  • Mentor technical leads and senior engineers and contribute to raising the technical bar across the organization.
  • Participate in architecture reviews, technical strategy discussions, and investment decisions related to AI and platform modernization.
  • Partner with business units on AI-driven product and platform decisions, establish clearer standards and reusable AI solution patterns, and help teams adopt AI technologies safely and effectively.

Desired Qualifications

  • Experience working in a large enterprise, platform-oriented environment.
  • Experience with AI governance, responsible AI, model risk, privacy, and security controls.
  • Familiarity with cloud AI platforms and services, vector search, AI gateways, observability, and production AI operations.
  • Experience helping engineering organizations adopt AI-powered development tools and practices.
  • Experience defining reusable architecture patterns for shared enterprise AI capabilities.
  • Experience mentoring architects or leading architecture communities of practice.
  • A master's degree in Computer Science, Engineering, Data Science, or a related field.

About the Company

Jones Lang LaSalle

Advises on and manages commercial real estate

Jones Lang LaSalle, known as JLL, advises property owners, occupiers and investors on commercial real estate worldwide. Its teams broker leases and property sales, arrange financing, value assets, manage buildings and workplaces, and oversee construction projects for businesses, institutions and governments. LaSalle Investment Management invests client capital in private property and real estate securities, while JLL Technologies develops workplace software and data tools. The company earns commissions, service fees, investment management fees and software revenue, with some client operating costs reimbursed through contracts. JLL took its current form through a 1999 merger and is headquartered in Chicago, Illinois.

Company size
10,001+
Company stage
IPO
Headquarters
Chicago, IL
Founded
1999

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