Senior Software Engineer, Enterprise AI Enablement (Employer of Record)

Work closely with customers, product partners, and team members to understand workflows, clarify requirements, and translate needs into well-scoped technical deliverables.

Build applied AI capabilities across high-value enterprise workflows such as automation, document intelligence, decision support, fraud intelligence, and intelligent assistants.

Implement context-aware agentic systems that orchestrate tools, APIs, reasoning steps, and business logic using established architecture patterns

Identify when existing agents, models, APIs, or platform capabilities can be reused and contribute to practical build vs. reuse recommendations.

Stay current on practical AI engineering patterns and bring forward ideas that improve quality, speed, or customer value.

Design and develop software and improve existing code to make it more efficient to detect bugs in the code

Write unit-tests and validate your software against acceptance criteria

Author, apply and advocate for team coding, documenting and testing standards

Conduct impact analysis to proactively identify impact of a change across multiple applications

Learn the business process domain to better support the business

Experiment and test ideas, validate assumptions against needs, reach conclusions and recommend solutions

Lead code reviews and communicate application changes

Document code and projects so others can easily understand, maintain and support

Debug the problems which arise in production and propose effective solutions within the application and across multiple applications

Read, write and review design documents

Contribute to team's sprint commitments and actively participate in our Agile practices

Lead continuous learning activities to improve design and code quality as well as to increase application domain knowledge

Participate in the talent selection process

Guide and review the code, designs and documentation of less experienced software engineers

Competencies: The following items detail how you will be successful in this role.

Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer’s shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience.

Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions.

One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively.

Owner’s Mindset: Owner’s Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business.

Advanced degree in Computer Science, Machine Learning or related field

Experience building generative AI capabilities in production or production-like environments

Experience with reliability, observability, evaluation, guardrails, or compliance considerations for AI-enabled systems.

You will be legally employed in India through our EoR partner

While your legal employer is the EoR partner, you will work full-time and be fully aligned to Credit Acceptance

Your day-to-day work, responsibilities, and performance expectations will be consistent with our global team members

You will receive locally compliant payroll, benefits, and statutory coverage through the EoR partner

To be successful in this role, Team Members need to be:

Positive by maintaining resiliency and focusing on solutions.

Respectful by collaborating and actively listening.

Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions.

Direct by effectively communicating and conveying courage.

Earnest by taking accountability, applying feedback and effectively planning and priority setting.

Regularly overlap with U.S. business hours to support collaboration with global team members.

Remain compliant with our policies, processes and guidelines

All other duties as assigned

Attendance as required by department