Principal Architect, AI Solutions

JLL•Chicago, IL

1d•$215,000 - $300,000•Remote

About The Position

JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Role Summary We are seeking a Principal Architect to help lead the next generation of AI-enabled product, platform, and engineering capabilities across our organization. This is a senior individual contributor role operating at the highest levels of technical leadership. The ideal candidate will combine deep AI architecture expertise with strong enterprise architecture judgment, practical delivery experience, and the ability to influence teams across business units. This role will partner closely with business and technology leaders to shape product and platform architectures, define and uphold enterprise standards, and help our engineering organization adopt modern AI and AI-powered software delivery practices responsibly and effectively.

Requirements

Bachelor’s or masters degree in Computer Science, Engineering, or related field, or equivalent practical experience
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 LLM-based applications, retrieval systems, agentic workflows, prompt and tool orchestration, and evaluation approaches
Strong architecture background across distributed systems, APIs, integration, data platforms, security, and cloud-native solutions
Experience establishing architecture standards, reference architectures, and technical guardrails across multiple teams
Proven 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
Demonstrated ability to balance innovation, speed, risk management, and long-term maintainability

Nice To Haves

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
Master’s degree in Computer Science, Engineering, Data Science, or related field

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 PDLC 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