Summary
BAMM Staffing is seeking a Forward Deployed Engineer to design, develop, and deploy data and AI-driven solutions within Palantir Foundry for mortgage and financial services operations. The role involves data engineering, ontology design, application development, and AI workflow enablement, serving as a liaison between business stakeholders and technical teams.
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
Skills
- 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
- 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
Qualifications
Must Haves
- 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