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Distinguished Software Engineer
Credit Acceptance. Set the company’s multi-year enterprise technical strategy and target architecture .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in enterprise technical strategy, architecture design, and cloud migration, with a strong focus on agentic AI systems and modern data platforms. Proven ability to influence cross-functional teams and develop engineering talent while ensuring compliance with regulatory standards.
Highest-signal resume keywords
Enterprise Technical StrategyDistributed Systems ArchitectureCloud MigrationAgentic AI SystemsRegulatory Compliance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringArchitecture DesignCloud MigrationMachine Learning PlatformData Platform ArchitectureCode ReadingProofs of ConceptIncident AnalysisChange-Data-Capture IngestionReal-Time Pricing Architecture
Soft Skills
Strong Written CommunicationInfluence Without AuthorityTeam Development
Tools & Technologies
AWSDatabricksModel Context ProtocolAI-Native SoftwareLatency Remediation
Certifications & Qualifications
Bachelor’s Degree in Computer ScienceCouncil for Higher Education Accreditation
Industry Keywords
Regulated IndustryAuditSecurityCompliance
Tech Stack
Tools & technologiesAWSCloudDistributed Systems
About the role
Key responsibilities & impact- Set the company’s multi-year enterprise technical strategy and target architecture
- Define end-state architecture across originations, servicing, marketplace, data, and AI
- Own enterprise agentic AI architecture across business and internal workflows
- Establish governed agent discovery and tool/data access using the Model Context Protocol
- Define agent identity, authorization, observability, evaluation, cost controls, auditability, and human decision boundaries
- Set strategy for migrating transactional workloads to AWS and analytical workloads to Databricks
- Own resilience and recovery architecture for the target state
- Define change-data-capture ingestion, streaming, and modern warehouse architecture
- Architect real-time pricing, credit model serving, scorecard updates, and experimentation platforms
- Own unified vehicle inventory, consumer search, and lead routing architecture
- Define AI-native software specification, generation, review, testing, and deployment practices
- Own performance instrumentation, latency remediation, peak-event readiness, and degradation levers
- Move systems from project-shaped architecture toward owned platforms with clear contracts
- Drive two-week requirement-to-production iteration goals and make architectural recommendations
- Stay hands-on through design reviews, proofs of concept, code reading, and incident analysis
- Influence teams and executives without formal authority and develop staff and principal engineers
- Report directly to the Chief Technology Officer
- Publish architecture decisions, tradeoffs, interfaces, plans, and measurable success criteria
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Information Systems, or closely related field of study; or equivalent work experience
- Minimum 10 years of software engineering experience or comparable depth of experience
- Track record of setting and delivering multi-year technical strategy at enterprise scale as an individual contributor
- Depth in distributed systems architecture and at least two specified areas: agentic or LLM-based systems in production; large-scale cloud migration of transactional systems; modern data platform and lakehouse architecture; machine learning platform and model serving; high-traffic consumer or marketplace applications
- Production architecture ownership of agentic or LLM-based systems, including governed tool and data access, evaluation, and failure modes
- Demonstrated ownership of legacy-to-modern migration of business-critical systems, including sequencing, cost case, and failure modes
- Hands-on experience reading code, writing proofs of concept, joining design reviews, and participating in incident analysis
- Evidence of influence without authority across organizational boundaries, including executive-level direction changes
- Strong written communication
- Ability to develop staff and principal engineers and raise the technical bar of engineers not directly managed
- Experience delivering in a regulated industry or ability to work within audit, security, and compliance constraints
- Must reside in or be willing to relocate to the greater Southfield, Michigan area, greater Bellevue, Washington area, or San Francisco Bay Area, California
- Required degrees must be earned at institutions accredited by the Council for Higher Education Accreditation or equivalent
Benefits
Comp & perks- Equity
- Annual cash bonuses
- 401(K) match
- Adoption assistance
- Parental leave
- Tuition reimbursement
- Comprehensive medical, dental, and vision coverage
- Nonstandard benefits
- Hybrid work model with two work-from-home days per week