[OWD] Lead Data & AI Engineer (Palantir Foundry/AIP)
San José, San José Province, Costa Rica
- 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 building and deploying enterprise AI solutions at a fast pace.
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
From the employer’s posting
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.
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 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
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
What you’ll bring
All qualificationsCore experience
- 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
Preferred experience
- Experience developing agentic or GenAI applications is strongly preferred.
Qualification wording
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
Experience developing agentic or GenAI applications is strongly preferred.
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
- 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
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.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
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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
- Active
- First seen by us
- Oct 7, 2026
- Recorded sightings
- 4
- Last seen by us
- Oct 8, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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