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Forward Deployed Engineer

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Essentials

201 - 500 employees

Founded 2021

Essentials delivers cost-effective foundational IT solutions to growth-minded companies in the financial industry. We right-size our services to fit your needs, adapting best-in-class practices for small businesses. Let us build and stabilize infrastructure, create a rock-solid network, strengthen cybersecurity, and modernize business operations while you focus on everything else. It’s what you need, when you need it.

πŸ“‹ Description

β€’ Design, develop, and maintain data ingestion, transformation, and integration pipelines within Palantir Foundry β€’ Integrate data from internal systems, third-party vendors, data warehouses, servicing platforms, CRM systems, and financial applications β€’ Ensure data quality, lineage, reliability, observability, and performance across production environments β€’ Implement governance controls and operational monitoring for enterprise data assets β€’ Design and maintain ontology models representing mortgage and financial services business domains β€’ Define business entities, relationships, and semantic structures supporting workflows and analytics β€’ Develop reusable, governed data products for reporting, analytics, workflow automation, and AI applications β€’ Collaborate with business stakeholders to align ontology structures with operational processes and objectives β€’ Develop Foundry-based applications, dashboards, operational tools, and workflow solutions β€’ Support loan origination, underwriting, servicing, portfolio management, risk assessment, compliance monitoring, and customer operations β€’ Configure workflow actions, case management processes, exception handling tools, and decision-support applications β€’ Identify opportunities for operational improvement and automation with business users β€’ Design and deploy AI-enabled workflows using Palantir AIP and related enterprise AI capabilities β€’ Develop agent-based and LLM solutions supporting business operations and decision-making β€’ Apply generative AI, orchestration, and agentic development patterns to build production-ready solutions β€’ Ensure AI implementations meet governance, auditability, security, and regulatory compliance standards β€’ Evaluate and implement AI-assisted processes to improve operational efficiency β€’ Perform other related duties as assigned β€’ Comply with company policies and procedures β€’ Maintain regular and punctual attendance

🎯 Requirements

β€’ Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related field; equivalent professional experience may be substituted β€’ 3–5 years’ experience β€’ Strong knowledge of enterprise data platforms, data products, application development, and AI-enabled solution delivery β€’ Strong proficiency in SQL and Python and/or PySpark β€’ Knowledge of data engineering, ETL development, and data integration methodologies β€’ Understanding of relational, dimensional, semantic, and ontology-based data modeling techniques β€’ Ability to translate business concepts, entities, relationships, and workflows into scalable technical solutions β€’ Experience developing enterprise applications, operational workflows, or automation solutions β€’ Experience building or integrating generative AI and LLM-based solutions using enterprise AI platforms, model providers, agent frameworks, or orchestration technologies β€’ Ability to learn and transition between enterprise data and AI platforms, including Palantir Foundry and comparable technologies β€’ Strong analytical, problem-solving, and systems-thinking skills β€’ Ability to communicate technical concepts effectively to business stakeholders β€’ Ability to manage multiple priorities and deliver solutions in evolving environments β€’ No certificates, licenses, or registrations required

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