Forward Deployed Engineer

Forward Deployed AI Engineer

Remote: EST hours

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 :

• 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 :

• 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 :

• None Required