[OWD] Senior Palantir Data / AI Engineer
San José, San José Province, Costa Rica
We’re checking whether it has closed. This saved copy remains available for reference.
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingWe're putting together a senior team for a global consulting client that is building and deploying enterprise AI solutions at a fast pace.
Build and manage Foundry data pipelines, ontology components, and applications
You'll work in a small delivery pod, taking business problems from idea to production on Palantir Foundry and AIP.
Design semantic and context layers with Palantir's ontology: Object, Link, and Action Types, Interfaces, Property Sets
From the employer’s posting
We're putting together a senior team for a global consulting client that is building and deploying enterprise AI solutions at a fast pace. You'll work in a small delivery pod, taking business problems from idea to production on Palantir Foundry and AIP. You'll also be the person in your pod who helps other engineers get productive on the platform.
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
About the role We're putting together a senior team for a global consulting client that is building and deploying enterprise AI solutions at a fast pace. You'll work in a small delivery pod, taking business problems from idea to production on Palantir Foundry and AIP. You'll also be the person in your pod who helps other engineers get productive on the platform.
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
What you’ll bring
All qualificationsCore experience
- Hands-on experience building agentic or GenAI applications, across several stages of the lifecycle (experimentation, development, testing, production, monitoring)
- Experience integrating AI with enterprise data sources, APIs, and business systems
- 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
Qualification wording
Hands-on experience building agentic or GenAI applications, across several stages of the lifecycle (experimentation, development, testing, production, monitoring)
Experience integrating AI with enterprise data sources, APIs, and business systems
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
Tools in this posting
- AWS
- Azure
- Databricks
- Google Cloud (GCP)
Source — Tool mentions in context
- 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
- 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
Job description
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
- Act as the Palantir go-to within your pod by pairing, reviewing, and coaching teammates
Qualifications
What we're looking for
- Hands-on Palantir Foundry and/or AIP experience on real client or production projects
- Hands-on experience building agentic or GenAI applications, across several stages of the lifecycle (experimentation, development, testing, production, monitoring)
- Experience building reusable agent skills, tools, or components that support multiple use cases
- 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
Company Description
About the role
We're putting together a senior team for a global consulting client that is building and deploying enterprise AI solutions at a fast pace. You'll work in a small delivery pod, taking business problems from idea to production on Palantir Foundry and AIP. You'll also be the person in your pod who helps other engineers get productive on the platform.
Your next step
Check the employer’s posting for the current role and application details.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
San José, San José Province, Costa Rica
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Unknown — awaiting fresh evidence
- First seen by us
- Sep 26, 2026
- Recorded sightings
- 18
- Last seen by us
- Oct 6, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Report an errorSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.