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Jones Lang LaSalle Americas, Inc.

Principal Architect, AI Solutions

Jones Lang LaSalle Americas, Inc.

Principal Architect leading next-generation AI-enabled products and platforms at JLL. Shaping enterprise standards and guiding strategic AI initiatives across the organization.

Posted 7/2/2026full-timeRemote • 🇮🇳 IndiaLeadWebsite

Tech Stack

Tools & technologies
CloudDistributed Systems

About the role

Key responsibilities & impact
  • 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.

Requirements

What you’ll need
  • Bachelor’s or master’s 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.

Benefits

Comp & perks
  • Flexible work arrangements
  • Professional development opportunities

ATS Keywords

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Hard Skills & Tools
AI Solution ArchitectureLLM-Based ApplicationsAgentic WorkflowsPrompt and Tool OrchestrationCloud-Native SolutionsAPIsData PlatformsSecurity ArchitectureIntegration PatternsTechnical Guardrails
Soft Skills
MentoringInfluencing StakeholdersTailored CommunicationBalancing Innovation and Risk Management
Certifications
Bachelor’s Degree in Computer ScienceMaster’s Degree in Engineering