Hiring: VP Architect, AI & Platform Company: CCC Intelligent Solutions Location: Chicago, IL Job Posted Time: 2026-09-11 10:20:17 Target Skills & Keywords : Computer Vision, Event-Driven, MLOps, Microservices, Monolith, SaaS About the job Experience: •15+ years of technology experience, including significant leadership experience in SaaS, platform architecture, enterprise software, data-intensive systems, or AI-enabled products. Required Skills: •The Chief Architect, AI & Platform will be responsible for setting CCC’s enterprise-wide technical architecture vision and ensuring that our platforms, products, data systems, AI capabilities, and engineering practices scale together. •This is a role for someone who understands modern SaaS platforms, AI-native product development, event-driven systems, high-scale data architecture, enterprise integration, and the operational discipline required for trusted automation in regulated, mission-critical environments. •Technology Vision and Architecture Strategy •Establish clear architectural principles and decision frameworks that help teams move faster while avoiding unnecessary fragmentation, duplication, and technical debt. •Guide CCC’s transition from software that uses AI to a platform that is increasingly •. This includes architecture for predictive AI, computer vision, generative AI, agentic workflows, human-in-the-loop decisioning, model orchestration, evaluation frameworks, AI observability, model governance, and safe automation. •Help ensure CCC can deploy AI responsibly across high-consequence workflows such as damage assessment, estimating, claims routing, injury prediction, subrogation, total loss prediction, and customer communications. •Partner with data science and product teams to make CCC’s proprietary data, workflow context, and ecosystem signals easier to use in AI models, product experiences, partner integrations, and internal decision systems. Qualifications: •Proven experience architecting large-scale, cloud-native, multi-tenant platforms used by enterprise customers. •Comprehensive expertise in distributed systems, event-driven architecture, APIs, microservices or modular monolith patterns, cloud infrastructure, security, observability, and reliability engineering. •Strong experience with data architecture, including real-time data, analytics platforms, data governance, metadata, data quality, and data products. •Practical understanding of AI/ML systems, including model lifecycle management, MLOps/LLMOps, generative AI patterns, evaluation, monitoring, responsible AI, and human-in-the-loop workflows. •Demonstrated capacity to communicate architecture tradeoffs clearly to executives, product leaders, engineers, customers, and non-technical stakeholders. •A track record of balancing innovation with reliability, security, customer trust, and business outcomes. •Operational familiarity with AI governance frameworks, model risk management, privacy requirements, secure software development, and regulated-industry expectations. Compensation: •$217,236 - $300,000 / year •This position is equity and bonus and/or commission eligible Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!