Remote: EST hours
Summary :
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.
Essential Job Duties and Responsibilities :
Data Engineering and Pipeline Development
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Design, develop, and maintain data ingestion, transformation, and integration pipelines within Palantir Foundry.
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Integrate data from internal systems, third-party vendors, data warehouses, servicing platforms, CRM systems, and financial applications.
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Ensure data quality, lineage, reliability, observability, and performance across production environments.
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Implement governance controls and operational monitoring for enterprise data assets.
Ontology and Data Product Development
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Design and maintain ontology models that represent mortgage and financial services business domains.
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Define business entities, relationships, and semantic structures that support operational workflows and analytical use cases.
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Develop reusable, governed data products that enable reporting, analytics, workflow automation, and AI applications.
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Collaborate with business stakeholders to align ontology structures with operational processes and business objectives.
Application and Workflow Delivery
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Develop Foundry-based applications, dashboards, operational tools, and workflow solutions.
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Support business processes including loan origination, underwriting, servicing, portfolio management, risk assessment, compliance monitoring, and customer operations.
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Configure workflow actions, case management processes, exception handling tools, and decision-support applications.
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Partner with business users to identify opportunities for operational improvement and automation.
AI and Automation Enablement
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Design and deploy AI-enabled workflows using Palantir AIP capabilities.
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Develop agent-based and large language model (LLM) solutions that support business operations and decision-making.
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Ensure AI implementations meet enterprise standards for governance, auditability, security, and regulatory compliance.
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Evaluate and implement opportunities to improve operational efficiency through AI-assisted processes.
Required Knowledge, Skills, and Abilities
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Advanced knowledge of Palantir Foundry platform capabilities.
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Strong proficiency in SQL and Python and/or PySpark.
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Knowledge of data engineering, ETL development, and data integration methodologies.
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Understanding of relational, dimensional, and semantic data modeling techniques.
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Ability to design and implement ontology-based business solutions.
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Experience developing enterprise applications and operational workflows.
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Strong analytical, problem-solving, and systems-thinking skills.
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Ability to communicate technical concepts effectively to business stakeholders.
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Ability to manage multiple priorities and deliver solutions in evolving environments.
Other Job Duties and Responsibilities:
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Performs other related duties as assigned.
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Comply with all company policies and procedures.
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Maintain regular and punctual attendance.
Supervisory Responsibilities :
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This position is an individual contributor.
Qualifications :
To perform this job successfully, an individual must be able to perform each essential function satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.
Education and/or Experience :
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Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related field; equivalent professional experience may be substituted.
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3-5 years' experience;
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Demonstrated experience implementing solutions within Palantir Foundry.
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Experience building production data pipelines, data products, or enterprise applications.
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Experience working with SQL and Python-based data engineering solutions.
• Experience delivering projects from requirements through production deployment.
• Ability to travel 35- 50% of the time.
Preferred Qualifications:
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Experience within mortgage banking, lending, servicing, capital markets, risk management, compliance, or broader financial services industries.
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Experience with Palantir AIP, Agent Studio, AIP Logic, Workshop, and related AI capabilities.
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Experience implementing enterprise governance frameworks, including access controls, auditing, data quality standards, and regulatory controls.
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Prior experience in Forward Deployed Engineering, Data Engineering, Ontology Engineering, or equivalent enterprise solution delivery roles.
Certificates, Licenses, Registrations :
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None Required