Principal Architect, Enterprise AI & Platform Tech

Credit Acceptance Corporation; San Diego (CA); Hybrid; USD 279,000 - 391,000; Full time

Benefits offered by this job

401(k) match

Adoption assistance

Parental leave

Tuition reimbursement

Job summary

Credit Acceptance is seeking a senior Chief Architect to drive multi-year technology strategy across originations, servicing, data, and AI. You will define interfaces, governance, and expectations for a scalable enterprise platform, partnering with engineers and business leaders to deliver measurable improvements.

The role focuses on real-time decisioning, model serving, and migration of workloads to AWS and Databricks, with a strong emphasis on security, regulatory compliance, and cost control.

Qualifications

• Bachelor’s degree in CS or related field or equivalent experience.
• Minimum 10 years of software engineering experience or equivalent depth.
• Experience delivering in regulated environments with audit/compliance constraints.
• Residence in the SF Bay Area, California or willing to relocate to CA hub locations.

Responsibilities

• Define and govern cross-domain architecture across originations, servicing, data, and AI.
• Own enterprise agent architecture with governance, security, and observability.
• Migrate on-prem workloads to AWS and Databricks with cost and resilience planning.
• Enable real-time decisioning, model serving, and experimentation at scale.

Skills

Distributed systems

Architectural leadership

Hands-on coding

Executive communication

Education

Bachelor’s degree in Computer Science or related field

Tools

AWS

Databricks

Model Context Protocol

Job description

Credit Acceptance is seeking a senior Chief Architect to drive multi-year technology strategy across originations, servicing, data, and AI. You will define interfaces, governance, and expectations for a scalable enterprise platform, partnering with engineers and business leaders to deliver measurable improvements.

The role focuses on real-time decisioning, model serving, and migration of workloads to AWS and Databricks, with a strong emphasis on security, regulatory compliance, and cost control.