Candidates must be authorized to work in the United States.
Sponsorship is not available for this position.
Overview
Seeking a Senior Forward Deployed Engineer to lead the design, development, and deployment of enterprise-scale data, analytics, and AI solutions using Palantir Foundry. This role combines hands-on engineering, solution architecture, customer engagement, and technical leadership to deliver high-impact operational and data-driven outcomes.
Key Responsibilities
Solution Architecture & Engineering
Design, build, and deploy end-to-end data integration pipelines using Palantir Foundry.
Develop scalable data transformations using Python, SQL, PySpark, Pandas, Polars, DuckDB, and Java.
Architect and maintain Foundry Ontology components, including Object Types, Link Types, Action Types, Interfaces, and Functions.
Build and deploy Workshop applications, OSDK-based applications, and custom operational workflows.
Develop server-side business logic using TypeScript and Python Functions.
Implement enterprise data governance, security controls, permissions, restricted views, and role-based access management.
Design and deploy AI-powered solutions including AIP Logic, AIP Agents, RAG pipelines, and LLM-enabled workflows.
Deployment & Stakeholder Engagement
Serve as the primary technical lead for complex customer engagements.
Translate business requirements into scalable platform solutions.
Own projects through architecture, development, testing, deployment, and operationalization.
Drive user adoption by delivering reliable, production-grade solutions.
Collaborate with executives, business stakeholders, analysts, and engineering teams.
Technical Leadership
Mentor engineers through code reviews, architecture guidance, and best practices.
Establish standards for branching strategies, CI/CD, testing, and pipeline design.
Lead knowledge-sharing initiatives and technical enablement sessions.
Contribute to platform innovation, internal tooling, and engineering best practices.
Required Qualifications
8+ years of software engineering, data engineering, or technical consulting experience.
2+ years of hands-on Palantir Foundry experience.
Strong expertise in Python, SQL, and distributed data processing technologies.
Deep understanding of Foundry Ontology, data pipelines, and application development.
Experience building production-scale batch and streaming data solutions.
Experience with Workshop and/or OSDK application development - TypeScript / React.
Strong communication and stakeholder management skills.
Experience with Google Cloud Platform (Google Cloud Platform), including BigQuery, Dataflow, Pub/Sub, Cloud Functions, and IAM.
Experience with AI/ML platforms, LLM-powered applications, RAG architectures, and model deployment.
Knowledge of data governance, ABAC, HIPAA-compliant environments, and enterprise security frameworks.
Experience leading teams of 3+ engineers.
Healthcare, clinical operations, or revenue cycle experience preferred.