Salary range is:

$217,236.65 - $300,000.00

This position is equity and bonus and/or commission eligible.

The RoleThe 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.

 

Key Responsibilities:

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 scale AI-powered workflows across many product lines and customer segments.

Architecture Operating Model

You will build an architecture function that enables teams rather than slows them down. This includes creating lightweight governance, architecture review practices, reusable patterns, reference implementations, decision records, and technical roadmaps.

You will mentor principal engineers and architects, raise the technical bar across engineering, and help create a culture where architecture is practical, measurable, and connected to business outcomes.

Security, Trust, and Responsible AI

You will partner with Security, Legal, Compliance, and Product to ensure CCC’s AI and platform architecture is secure, explainable where needed, auditable, privacy-aware, and resilient. This includes modern AI risk controls such as prompt-injection defenses, secure model supply chains, output validation, data leakage prevention, model monitoring, and human oversight.

What Success Looks Like

In the first 6 months, this leader will have created a clear architecture map of CCC’s current platform landscape, identified the highest-leverage modernization opportunities, established practical architecture principles, and built trust with senior engineering, product, AI, security, and executive stakeholders.

In the first 12 months, this leader will have shaped a multi-year AI and platform architecture roadmap, reduced architectural fragmentation in priority areas, improved reuse of core platform and data capabilities, strengthened AI governance and evaluation practices, and accelerated delivery of AI-enabled product capabilities.

Longer term, success means CCC has a more modular, scalable, AI-native platform architecture that strengthens its ecosystem advantage, improves engineering velocity, supports trusted automation, and creates more leverage from CCC’s data, workflows, and network.

 

Requirements:

• 15+ years of technology experience, including significant leadership experience in SaaS, platform architecture, enterprise software, data-intensive systems, or AI-enabled products.
• Proven experience architecting large-scale, cloud-native, multi-tenant platforms used by enterprise customers.
• Deep understanding of 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.
• Experience influencing across large engineering organizations without relying only on formal authority.
• Ability 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.

Preferred Qualifications

• Experience in insurance, automotive, collision repair, fintech, healthcare, logistics, or another complex workflow-heavy industry.
• Experience building platforms that support marketplaces, partner ecosystems, or multi-party networks.
• Experience with computer vision, claims automation, document intelligence, decision automation, or workflow orchestration.
• Experience modernizing legacy platforms while continuing to support large enterprise customers.
• Familiarity with AI governance frameworks, model risk management, privacy requirements, secure software development, and regulated-industry expectations.
• Experience working with public-company technology, security, and operating expectations.

 

Interview Policy & Privacy Notice:

A video interview is required for this position. Video interviews are transcribed. Transcriptions are retained and may be reviewed by CCC and our recruiters. Candidates are not permitted to use generative AI or automated assistance during the interviews unless explicitly allowed by the interview team for a specific exercise. Our Job Applicant Privacy Notice is available HERE.