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Lead Data & AI Engineer – Palantir Foundry, AIP
Software Mind. Build and manage Foundry data pipelines, ontology components, and applications .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and managing data pipelines and applications using Palantir Foundry, with a strong focus on integrating AI solutions and semantic layers. Proven ability to translate business requirements into technical implementations while leading teams and ensuring successful production deployments.
Highest-signal resume keywords
Palantir Foundry ExperienceAgentic AI Application DevelopmentData Engineering SkillsCI/CD with GitHubSemantic Layer Design
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Pipeline DevelopmentSoftware EngineeringProblem-SolvingIntegration with APIsModel DeploymentSemantic Layer DesignKnowledge GraphsData LineageCBACFast Delivery Cycles
Soft Skills
Clear CommunicationTechnical LeadershipCoaching EngineersStakeholder Engagement
Tools & Technologies
Palantir AIPAzureAzure AI FoundryDatabricksDevOps ToolingDevSecOps Tooling
Industry Keywords
Enterprise Data SourcesProduction DeploymentFast Delivery CyclesAgent SkillsReusable Components
Tech Stack
Tools & technologiesAzure
About the role
Key responsibilities & impact- Build and manage Foundry data pipelines, ontology components, and applications
- Design semantic and context layers with Palantir's ontology, including Object, Link, and Action Types, Interfaces, and Property Sets
- Build LLM-powered workflows with AIP Logic, AIP Automate, and AIP Assist
- Take agentic AI use cases from prototype to production by building, testing, deploying, and monitoring them
- Serve as the team's Palantir lead while remaining hands-on
- Guide solution design, review code, coach engineers, and resolve technical blockers
- Own technical delivery of assigned solutions
- Translate business requirements into implementation plans and guide work through production deployment
- Lead technical discussions with client stakeholders
- Explain design decisions, trade-offs, dependencies, and delivery risks
Requirements
What you’ll need- Hands-on Palantir Foundry and/or AIP experience on real client or production projects
- Experience developing agentic or GenAI applications is strongly preferred
- Strong software engineering and problem-solving skills
- Experience integrating AI with enterprise data sources, APIs, and business systems
- Solid data engineering background across structured and unstructured data
- Comfortable with fast delivery cycles and requirements that change
- Strong English and clear communication with both technical and business people
- Able to work EST business hours
- Solutions deployed to production inside Palantir Ontology Linter, Data Lineage, CBAC, Foundry Marketplace
- Experience with semantic layers, ontologies, or knowledge graphs
- Experience with Azure, Azure AI Foundry, Databricks / Genie
- Experience with CI/CD with GitHub and DevOps / DevSecOps tooling
- Experience deploying models from OpenAI, Anthropic, or other LLM providers, including model selection and cost optimization
- Experience building reusable agent skills, tools, or components that support multiple use cases
Benefits
Comp & perks- Employees can work remotely
- Full-time employment