Chief AI & Platform Architect

CCC Information Services; Chicago (IL); On-site; USD 217,000 - 300,000; Full time

Benefits offered by this job

401K Match

Paid time off

Annual Incentive Plan

Performance Bonus

Comprehensive health insurance

Tuition Reimbursement

Job summary

CCC Intelligent Solutions Inc. (CCC) is seeking a Chief Architect, AI & Platform to define enterprise architecture spanning SaaS platforms, data systems, and AI capabilities.

You will work with product, engineering, data science, security, and leadership to translate strategy into durable architecture for trusted automation in regulated environments. The role requires deep expertise in AI-native platform design, event-driven data architectures, model governance, and scalable cloud-native

Qualifications

• 15+ years of technology experience with SaaS, platform architecture, enterprise software, or AI-enabled products.

Responsibilities

• Define and evolve CCC’s long-term architecture strategy across cloud platforms, data platforms, APIs, and AI systems.
• Lead AI-native platform architecture including predictive AI, model governance, and observability.
• Oversee data architecture for real-time data, data contracts, governance, and analytics.
• Shape platform modernization for multi-tenant SaaS, modularity, and resilience.
• Build an architecture operating model with governance, reference patterns, and roadmaps.
• Partner with security, legal, and product to ensure secure, auditable, responsible AI.

Skills

SaaS architecture

Platform architecture

Data-intensive systems

AI/ML systems

MLOps/LLMOps

Cloud-native platforms

Event-driven architecture

Distributed systems

APIs

Tools

Microservices

API design

Job description

CCC Intelligent Solutions Inc. (CCC) is seeking a Chief Architect, AI & Platform to define enterprise architecture spanning SaaS platforms, data systems, and AI capabilities.

You will work with product, engineering, data science, security, and leadership to translate strategy into durable architecture for trusted automation in regulated environments. The role requires deep expertise in AI-native platform design, event-driven data architectures, model governance, and scalable cloud-native