Forward Deployed Engineer

🕒 vor 1 Monat

🏄 California – Remote

🏄 California – Remote

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

👷🏻‍♀️ Ingenieur

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Moder

WebsiteLinkedInAlle Stellen

1001 - 5000 Mitarbeiter

Gegründet 2020

💼 Beratung

🛡️ Versicherung

📦 Logistik

Consulting • Insurance • Logistics

Moder ist ein technologieorientierter Beratungs- und Drittanbieterdienstleister im Hypothekenbereich (Moder Solutions, LLC), der Hypotheken-, Bank- und Versicherungsunternehmen bei der Modernisierung von Abläufen, der Automatisierung von Prozessen und der Verbesserung der Kundenerfahrungen unterstützt. Das Unternehmen kombiniert Automatisierungstools für Hypotheken, digitale Transformationsdienste, compliance-orientierte Betriebsmodelle und globale Fachkräfte, um die Abwicklung, den Service und breitere finanzielle Operationen zu optimieren. Moder ist im NMLS registriert (Moder Solutions, LLC — NMLS ID 1186374) und agiert als nicht kreditgebender, nicht vermittelnder Drittanbieterdienstleister.

Beschreibung

• The Forward Deployed AI Engineer is responsible for designing, developing, and deploying data and AI-driven solutions within Palantir Foundry to support mortgage and financial services operations. • This role combines data engineering, ontology design, application development, and AI workflow enablement to create scalable, production-grade data products that improve operational efficiency, decision-making, risk management, and regulatory compliance. • The position serves as a bridge between business stakeholders and technical teams, translating complex operational requirements into governed, maintainable, and reusable Foundry solutions. • Design, develop, and maintain data ingestion, transformation, and integration pipelines within Palantir Foundry. • Integrate data from internal systems, third-party vendors, data warehouses, servicing platforms, CRM systems, and financial applications. • Ensure data quality, lineage, reliability, observability, and performance across production environments. • Implement governance controls and operational monitoring for enterprise data assets. • Design and maintain ontology models that represent mortgage and financial services business domains. • Define business entities, relationships, and semantic structures that support operational workflows and analytical use cases. • Develop reusable, governed data products that enable reporting, analytics, workflow automation, and AI applications. • Collaborate with business stakeholders to align ontology structures with operational processes and business objectives. • Develop Foundry-based applications, dashboards, operational tools, and workflow solutions. • Support business processes including loan origination, underwriting, servicing, portfolio management, risk assessment, compliance monitoring, and customer operations. • Configure workflow actions, case management processes, exception handling tools, and decision-support applications. • Partner with business users to identify opportunities for operational improvement and automation. • Design and deploy AI-enabled workflows using Palantir AIP capabilities. • Develop agent-based and large language model (LLM) solutions that support business operations and decision-making. • Ensure AI implementations meet enterprise standards for governance, auditability, security, and regulatory compliance. • Evaluate and implement opportunities to improve operational efficiency through AI-assisted processes.

🎯 Anforderungen

• Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related field; equivalent professional experience may be substituted. • 3-5 years’ experience; Demonstrated experience implementing solutions within Palantir Foundry. • Experience building production data pipelines, data products, or enterprise applications. • Experience working with SQL and Python-based data engineering solutions. • Experience delivering projects from requirements through production deployment. • Advanced knowledge of Palantir Foundry platform capabilities. • Strong proficiency in SQL and Python and/or PySpark. • Knowledge of data engineering, ETL development, and data integration methodologies. • Understanding of relational, dimensional, and semantic data modeling techniques. • Ability to design and implement ontology-based business solutions. • Experience developing enterprise applications and operational workflows. • Strong analytical, problem-solving, and systems-thinking skills. • Ability to communicate technical concepts effectively to business stakeholders. • Ability to manage multiple priorities and deliver solutions in evolving environments.

🏖️ Vorteile

• Equal Employment Opportunity: The company is committed to providing equal employment opportunities to all employees and applicants without regard to race, ethnicity, color, sex, marital status, sexual orientation, gender identity or expression, pregnancy, religion, national origin, age (40 and over), disability, military status, genetic information, or any other basis protected by applicable federal, state, or local laws. • Americans with Disabilities Act: Applicants as well as employees who are or become disabled must be able to satisfactorily perform the essential job functions of the position either with or without reasonable accommodation.