Forward Deployed Engineer

Moder
Onsite

About The Position

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.

Requirements

  • 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.
  • 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.

Nice To Haves

  • 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.

Responsibilities

  • 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.
  • Performs other related duties as assigned.
  • Comply with all company policies and procedures.
  • Maintain regular and punctual attendance.
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