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VP Architect, AI & Platform

Job in Chicago Heights, Cook County, Illinois, 60411, USA
Listing for: CCC Information Services
Full Time position
Listed on 2026-08-06
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 217237 - 300000 USD Yearly USD 217237.00 300000.00 YEAR
Job Description & How to Apply Below

Salary

Salary range is: $ - $ This position is equity and bonus and/or commission eligible.

CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy, creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we’re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and seamlessly. We’re pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair journey.

Through purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at

The Role

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 leader will partner closely with Product, Engineering, Data Science, Security, Infrastructure, Client Success, and executive leadership to translate business strategy into a durable technical architecture. The ideal candidate is a hands-on strategic technologist who can move fluidly from board-level technology strategy to deep technical design conversations with principal engineers, AI researchers, platform teams, and product leaders.

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

You will define and evolve CCC’s long-term architecture strategy across multiple cloud platforms, product domains, data platforms, APIs, integration patterns, AI/ML systems, and developer experience. You will ensure that architectural choices support CCC’s growth, customer trust, speed of innovation, operational resilience, and ability to scale AI-enabled workflows across the insurance economy. You will establish clear architectural principles and decision frameworks that help teams move faster while avoiding unnecessary fragmentation, duplication, and technical debt.

AI-Native

Platform Architecture

You will guide CCC’s transition from software that uses AI to a platform that is increasingly AI-native. 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. You will 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.

Data

Architecture

You will lead the architecture for CCC’s data foundation, including data products, event streams, metadata, lineage, governance, data contracts, lakehouse/warehouse patterns, real-time decisioning, and customer-facing analytics. Your goal will be to help CCC turn its ecosystem data advantage into reusable platform capabilities while maintaining privacy, security, accuracy, and customer trust. You will 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.

Platform

Modernization and Scalability

You will guide the evolution of CCC’s multi-tenant SaaS architecture, cloud infrastructure, service boundaries, APIs, event-driven systems, integration patterns, and shared platform capabilities. You will help engineering teams make smart decisions about build vs. buy, modularity, service ownership, resilience, latency, cost efficiency, and operational maturity. The goal is not architecture purity. The goal is a platform that lets CCC innovate faster, integrate more easily, serve enterprise customers reliably, and…

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