Forward Deployed AI Engineer

Moder; Conshohocken (Montgomery County); On-site; USD 120,000 - 160,000; Full time

Job summary

Moder is seeking a Forward Deployed AI Engineer to design, develop, and deploy data and AI-driven solutions within Palantir Foundry for mortgage and financial services operations.

This role bridges business stakeholders and technical teams, translating complex requirements into governed, maintainable Foundry solutions. You will build pipelines, ontology models, and production-grade data products to improve efficiency and compliance.

Qualifications

• Bachelor's degree or equivalent professional experience.
• 3-5 years’ experience in relevant field.
• Demonstrated experience implementing Palantir Foundry solutions.
• Experience building production data pipelines or data products.
• Experience delivering projects from requirements through production deployment.

Responsibilities

• Design, develop, and maintain data ingestion, transformation, and integration pipelines.
• Integrate data from internal systems and financial applications.
• Ensure data quality, lineage, reliability, observability, and performance.
• Implement governance controls and operational monitoring for data assets.
• Design ontology models for mortgage/financial services domains.
• Develop enterprise apps and workflow tools on Foundry.

Skills

Foundry expertise

SQL & Python

ETL development

Ontology design

Data modeling

Enterprise app development

Communication with stakeholders

Problem solving / systems thinking

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or related field

Tools

Palantir Foundry

Palantir AIP

Agent Studio

AIP Logic

Workshop

Job description

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

• This position is an individual contributor.

Qualifications

To perform this job successfully, an individual must be able to perform eachessential functionsatisfactorily. 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

Work Complexity

Problems and issues faced are general, and may require understanding of broader set of issues but typically are not complex. May require familiarity with the financial/mortgage (or job-specific) industry. Problems require understanding of other job areas. Problems are typically solved through drawing from prior experiences, with analysis of the issue.

Work Environment

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job.Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Work is normally performed in a typical interior office work environment which does not subject the employee to any hazardous or unpleasant elements. The noise level in the work environment is usually moderate.

Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is frequently required to sit and talk or hear. The employee is occasionally required to stand; walk; use hands to finger, handle, or feel; and reach with hands and arms. The employee must occasionally lift and/or move up to 25 pounds.

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. Applicants as well as employees are encouraged to meet with Human Resources as the organization shall review reasonable accommodations on a case-by-case basis in accordance with applicable law.

Job Responsibilities

The statements reflect the general duties and responsibilities considered necessary to perform the essential functions of the job and should not be considered as an all-inclusive list of all the work requirements of the position. The company may change the specific job duties with or without prior notice based on the needs of the organization.

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