Salary
💰 $150,000 - $300,000 per year
Tech Stack
AWSAzureCloudGoogle Cloud PlatformMicroservices
About the role
- Evaluate AI decisioning platforms and recommend the best fit for AmeriSave’s lending strategy
- Design and prototype rule-based and ML-enhanced decisioning workflows
- Collaborate with data science, product, and compliance teams to align platform capabilities with business goals
- Build scalable APIs and microservices to support real-time decisioning
- Ensure traceability, explainability, and compliance of all decisioning logic
- Stay current on Responsible AI practices, governance frameworks, and platform innovations
- Assess, design, and implement enterprise-grade decisioning platforms
- Guide platform selection and evaluate trade-offs
Requirements
- 5+ years of experience in AI decisioning, rules engines, or intelligent automation
- Familiarity with one or more of the platforms listed (FICO, IBM Pegasystems, Palantir, Sapiens, SAS, Provenir, CRIF, ACTICO, Sparkling Logic Decisions, FlexRule, InRule, Experian, Progress, Drools, Red Hat Decision Manager) or similar
- Strong understanding of ML model deployment and integration
- Experience with cloud platforms (AWS, Azure, or GCP)
- Excellent communication and documentation skills
- Preferred:
- Experience in consumer lending, underwriting, or financial services
- Exposure to LLMOps, vector databases, or agent-based decisioning
- Familiarity with compliance frameworks such as Fair Lending, ECOA, HMDA, FCRA, UDAAP, GLBA
- Experience working with mortgage Loan Origination Systems (Encompass, Empower, MeridianLink Mortgage, Calyx, Point, LendingQB, BytePro, Blue Sage, MortgageFlex, OpenClose, Shape Software)