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Principal Architect, AI Solutions

Likely ghost job

🕒 July 21

🇮🇳 India – Remote

⏰ Full Time

🔴 Lead

🤖 AI Engineer

Where this job comes from

Posted on Jones Lang LaSalle Americas, Inc.'s careers page, not through a job board

First seen by Remote Rocketship July 21

Still open on Jones Lang LaSalle Americas, Inc.'s site. Checked 1 hour ago.

Logo of Jones Lang LaSalle Americas, Inc.

Jones Lang LaSalle Americas, Inc.

10,000+ employees

🏠 Real Estate

🤝 B2B

💼 Consulting

Real Estate • B2B • Consulting

Jones Lang LaSalle Americas, Inc. is a company that provides commercial real estate services for corporations and investors worldwide. Their focus is on helping clients save money, increase productivity, and improve sustainability in real estate operations.

📋 Description

• 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 • Influence strategy, guide major technical decisions, coach others, and help establish the technical direction for enterprise AI adoption and architecture excellence

🎯 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 • 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

🏖️ Benefits

• Equal Opportunity Employer • Reasonable accommodations for individuals with disabilities

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