AI Decisioning Platform Engineer

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September 16

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AmeriSave Mortgage Corporation

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Finance • Real Estate

AmeriSave Mortgage Corporation is a leading online mortgage lender offering a variety of home financing solutions, including first and second mortgages, home equity loans, and refinancing options. With 20 years of mortgage experience, AmeriSave has served over 733,603 borrowers across 49 states in the U. S. The company prides itself on providing easy and fast mortgage processes with access to quick quotes and approvals, low rates, and secure rate locks. AmeriSave is committed to helping its clients achieve financial freedom and better financial positions through responsible home equity usage and effective mortgage solutions. The company is well-regarded for its excellent customer service and accessibility, offering support in multiple languages and emphasizing easy online interactions for customer convenience.

5001 - 10000 employees

Founded 2002

💸 Finance

🏠 Real Estate

📋 Description

• 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)

🏖️ Benefits

• 401(k) • Dental insurance • Disability insurance • Employee discounts • Health insurance • Life insurance • Paid time off • 12 paid holidays per year • Paid training • Referral program • Vision insurance • Supplemental pay types: • Bonus • Referral bonuses