Distinguished Software Engineer

creditacceptance

United States

Remote

USD 180,000 - 260,000

Full time

14 days+

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Job summary

Credit Acceptance seeks a senior individual contributor to set the enterprise technology direction and influence a long-established lending platform. The role blends hands-on technical leadership with broad architectural influence, guiding migrations to a cloud target and establishing a governed foundation for AI agents.

Success hinges on resolving complex questions and aligning teams that retain ownership of implementation, while ensuring robust audit, testing, and cost controls across domains

Qualifications

  • Experience leading enterprise architecture across software and data systems.
  • Ability to influence engineering teams without direct management.
  • Strong judgment for complex technical tradeoffs in a large platform.

Responsibilities

  • Convene domain engineering leaders to define and publish a multi-year target architecture spanning origination, servicing, marketplace, data, and AI systems.
  • Document system interfaces, architectural principles, open decisions, rejected tradeoffs, and progress toward the target state.
  • Design a shared enterprise architecture for agents, including how they discover and use business capabilities, data, and tools through an integration layer.
  • Define agent identity, least-privilege access, monitoring, evaluation, cost controls, and policies for decisions requiring human oversight.
  • Establish audit and testing approaches that record agent activity and help demonstrate that outcomes are reliable and defensible, including for externally built agents.
  • Set migration strategy for transactional workloads moving to a cloud target and analytical workloads moving to a data platform; guide resilience, recovery, and sequencing choices.

Skills

Enterprise architecture
Technical leadership
Cloud migration
AI systems
Data governance
Cross-functional influence

Job description

Role overview

Set the enterprise technology direction as the senior individual contributor in an engineering organization modernizing a long-established lending platform. The role combines hands-on technical leadership with broad architectural influence: define the target state across business domains, guide migration from on-premises infrastructure, and establish a common, governed foundation for AI agents. Success depends on resolving complex technical questions and aligning teams that retain ownership of implementation.

Responsibilities
  • Convene domain engineering leaders to define and publish a multi-year target architecture spanning origination, servicing, marketplace, data, and AI systems.
  • Document system interfaces, architectural principles, open decisions, rejected tradeoffs, and progress toward the target state.
  • Design a shared enterprise architecture for agents, including how they discover and use business capabilities, data, and tools through an integration layer.
  • Define agent identity, least-privilege access, monitoring, evaluation, cost controls, and policies for decisions requiring human oversight.
  • Establish audit and testing approaches that record agent activity and help demonstrate that outcomes are reliable and defensible, including for externally built agents.
  • Set migration strategy for transactional workloads moving to a cloud target and analytical workloads moving to a data platform; guide resilience, recovery, and sequencing choices.
Requirements

The available source describes expectations and scope but does not provide a complete qualifications section. It indicates a need for enterprise architecture leadership, strong technical judgment across software and data systems, and the ability to influence engineering teams without directly managing them.

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