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
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.
Ontology and Data Product Development
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.
Application and Workflow Delivery
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.
AI and Automation Enablement
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.
Required Knowledge, Skills, and Abilities
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.
Other Job Duties and Responsibilities:
Performs other related duties as assigned.
Comply with all company policies and procedures.
Maintain regular and punctual attendance.
Supervisory Responsibilities :
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 :
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.
Preferred Qualifications:
Experience within mortgage banking, lending, servicing, capital markets, risk management, compliance, or broader financial services industries.
Experience with Palantir AIP, Agent Studio, AIP Logic, Workshop, and related AI capabilities.
Experience implementing enterprise governance frameworks, including access controls, auditing, data quality standards, and regulatory controls.
Prior experience in Forward Deployed Engineering, Data Engineering, Ontology Engineering, or equivalent enterprise solution delivery roles.
Certificates, Licenses, Registrations :
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