Company Description
About the role
We're putting together a senior team for a global consulting client building and deploying enterprise AI solutions at a fast pace. You'll take business problems from idea to production on Palantir Foundry and AIP, combining hands-on development with technical leadership. You'll guide solution design, work directly with client stakeholders, and help other engineers become productive on the platform.
Job Description
What you'll do
Build and manage Foundry data pipelines, ontology components, and applications
Design semantic and context layers with Palantir's ontology: Object, Link, and Action Types, Interfaces, Property Sets
Build LLM-powered workflows with AIP Logic, AIP Automate, and AIP Assist
Take agentic AI use cases from prototype to production: build, test, deploy, monitor
Serve as the team’s Palantir lead, remaining hands-on while guiding solution design, reviewing code, coaching engineers, and resolving technical blockers.
Own technical delivery of assigned solutions, translating business requirements into clear implementation plans and guiding work through production deployment.
Lead technical discussions with client stakeholders, explaining design decisions, trade-offs, dependencies, and delivery risks.
Qualifications
What we're looking for
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
Nice to have
Solutions deployed to production inside Palantir
Ontology Linter, Data Lineage, CBAC, Foundry Marketplace
Semantic layers, ontologies, or knowledge graphs (Azure, AWS, GCP, Palantir, or Databricks)
Azure, Azure AI Foundry, Databricks / Genie
CI/CD with GitHub, 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
Summary
Build and deploy enterprise AI solutions on Palantir Foundry and AIP, from data pipelines and ontology design to LLM-powered workflows and agentic use cases. Lead technical delivery, guide solution design, and coach engineers while working with client stakeholders. Requires hands-on Foundry/AIP and data engineering experience.
Responsibilities
Build and manage Foundry data pipelines, ontology components, and applications; Design semantic and context layers with Palantir ontology; Build LLM-powered workflows with AIP Logic, Automate, and Assist; Take agentic AI use cases from prototype to production; Serve as Palantir lead guiding design, code reviews, coaching
Qualifications
Hands-on Palantir Foundry and/or AIP experience; Experience developing agentic or GenAI applications strongly preferred; Strong software engineering and problem-solving skills; Experience integrating AI with enterprise data; Solid data engineering background; Strong English and clear communication
Experience requirements
Hands-on Palantir Foundry and/or AIP experience on real client or production projects; Solid data engineering background across structured and unstructured data; Experience integrating AI with enterprise data sources, APIs, and business systems