Forward Deployed Engineer - Palantir

NextGen Invent Corporation; New York (NY); On-site; USD 120,000 - 190,000; Full time

Job summary

NextGen Invent Corporation in New York/New Jersey seeks a Forward Deployed Engineer with Palantir Foundry and AIP experience to work directly with clients on data analytics and AI-driven solutions.

You will design scalable data pipelines, build ontology models, and integrate data from multiple enterprise sources, translating business needs into technical solutions and delivering deployments end-to-end.

Qualifications

• Bachelor's or Master's in Computer Science, Information Systems, Engineering, or related field.
• 2–6 years of experience in data/analytics/engineering roles.
• Minimum 1+ year hands-on with Palantir Foundry in production.
• Experience with Palantir AIP and AI-enabled app development.
• Strong SQL and Python skills, data modeling knowledge.

Responsibilities

• Design scalable data solutions and AI-enabled applications with Foundry and AIP.
• Develop data pipelines, ontologies, and data integration across enterprise systems.
• Collaborate with clients and stakeholders to translate business needs into technical plans.
• Deliver end-to-end deployments from requirements to post-production support.
• Create documentation and contribute reusable frameworks.

Skills

Palantir Foundry

Palantir AIP

SQL

Python

Data Pipelines

ETL/ELT

Client-facing

Education

Bachelor's or Master's in CS/Engineering/IS

Tools

Palantir Foundry

Palantir AIP

Snowflake

Databricks

Job description

Experience: 2–6 Years

Location: New York / New Jersey

Employment Type: Full-Time

No. of Positions: Multiple

Qualification: Bachelor's Degree or Higher inComputer Science, Engineering, Information Technology, or related field

Work Timings: 8:00 AM EST – 5:00 PM EST

Functional Area: Palantir Foundry | DataEngineering | AI Solutions

About the Role

Weare seeking a highly motivated Forward DeployedEngineer (FDE) with hands-on experience in Palantir Foundryand Artificial Intelligence Platform (AIP) to work directly with clients in solving complex businesschallenges through data, analytics, and AI-driven solutions.

Thisrole combines elements of Data Engineering, SoftwareEngineering, Solution Architecture, and Client Consulting. The ideal candidate will partner closely with business andtechnical stakeholders to understand business requirements, design scalabledata solutions, and deliver impactful applications leveraging the fullcapabilities ofPalantir Foundry and AIP.

Thesuccessful candidate will be comfortable operating in client-facingenvironments, translating business needs into technical solutions, and drivingprojects from concept through deployment.

Key Responsibilities

Client Engagement & Solution Design

• Partner directly withclient stakeholders to understand business processes, challenges, andstrategic objectives.
• Conduct discoverysessions, solution workshops, and technical discussions with business andtechnology teams.
• Translate businessrequirements into scalable, maintainable, and high-impact technicalsolutions within AI Foundry.
• Present solutionarchitectures, implementation approaches, and technical recommendations toclient teams and leadership.

Palantir Foundry Development

• Design, develop, andmaintain robust data pipelines withinPalantir Foundry.
• Build and manage Ontologymodels, business objects, and relationships to support enterprise-wide usecases.
• Integrate data frommultiple enterprise applications, databases, APIs, and external systemsinto Foundry.
• Develop complextransformation logic and optimize data workflows for performance,scalability, and reliability.
• Configure and enhanceFoundry applications, operational workflows, and business-facing usecases.

Artificial Intelligence Platform (AIP)

• Design and implementAI-enabled solutions using Palantir AIP.
• Build and supportAI-driven workflows, operational applications, and decision-supportsystems.
• Collaborate withstakeholders to identify opportunities for incorporating Generative AI andLarge Language Models (LLMs) into business processes.
• Develop and optimize AIPuse cases aligned with business objectives and operational efficiencygoals.

Data Engineering & Integration

• Develop scalable datasolutions utilizing SQL, Python, PySpark, and modern data engineering bestpractices.
• Design and implementETL/ELT processes and data integration frameworks.
• Ensure data quality,governance, security, and lineage across enterprise data ecosystems.
• Optimize pipelineperformance and support high-volume enterprise data processing needs.

Delivery & Operations

• Deliver end-to-endsolutions from requirements gathering through deployment, testing, andpost-production support.
• Troubleshoot productionissues, perform root-cause analysis, and implement sustainable fixes.
• Collaborate with dataengineers, software engineers, architects, product managers, and clientstakeholders.
• Create and maintaintechnical documentation, architecture diagrams, operational procedures,and user guides.
• Contribute to reusableframeworks, accelerators, and best practices across projects.

Skills, Knowledge & Experience

• Bachelor's or Master'sdegree in Computer Science, Information Systems, Engineering, or a relatedtechnical discipline.
• 2–6 years of experience inData Engineering, Software Engineering, Analytics Engineering, or arelated technical role.
• Minimum 1+years of hands-on experience working withPalantir Foundry in productionenvironments.
• Experience withPalantirAIP and AI-enabled application development.
• Strong expertise inFoundry Pipelines, Ontology Modeling, Data Integration, Data PipelineDevelopment, Complex Data Transformations and Foundry Applications.
• Experience integrating andmanaging data from multiple enterprise systems and external data sources.
• Strong SQL skills for dataanalysis, transformation, and optimization.
• Hands-on programmingexperience in Python.
• Experience with PySpark,Spark SQL, or distributed data processing frameworks.
• Understanding of APIs,data modeling, ETL/ELT processes, and modern data architecture principles.
• Strong analytical,troubleshooting, and problem-solving abilities.
• Strong stakeholdermanagement and client-facing communication experience.

Preferred Qualifications

• Experience implementingenterprise-scalePalantir Foundry solutions.
• Experience with GenerativeAI, LLM integrations, AI agents, and intelligent workflow automation.
• Exposure to cloudplatforms such as AWS or Azure.
• Experience working withSnowflake, Databricks, or modern cloud data platforms.
• Knowledge of datagovernance, security, and data management best practices.
• Consulting,implementation, or customer-facing project experience.
• Experience supportingFortune 500 clients or large enterprise environments.
• Exposure to manufacturing,healthcare, life sciences.

Preferred Certifications

• Palantir FoundryCertification
• Palantir Data EngineerCertification
• Palantir AIP Certification
• AWS /Azure Certified CloudPractitioner or AWS/Azure Solutions Architect
• Databricks Data EngineerAssociate

This jobdescription is not intended to cover or contain a comprehensive listing of allresponsibilities, duties, or activities that are required. Responsibilities,duties, and/or activities may change, or new ones may be added at any time withor without notice.