[OWD] Lead Data & AI Engineer (Palantir Foundry/AIP)
At a glance
Senior AI Engineering role at Software Mind. Remote, Costa Rica · full-time.
Pay not stated AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build Foundry pipelines, ontology components and applications, then shape semantic layers using Objects, Links and Actions
- Create LLM workflows with AIP tools and move agent-based AI projects from prototype through deployment and monitoring
- Lead solution design while staying hands-on, reviewing code, coaching engineers and clearing technical blockers
- Turn client needs into delivery plans, own assigned work through production, and explain technical choices and risks to stakeholders
What you bring
- You have used Palantir Foundry or AIP in real client work or production environments
- You bring strong software engineering skills and experience connecting AI to enterprise data, APIs and business systems
- Your data engineering background covers both structured and unstructured information
- You communicate clearly in English with technical and business audiences
Who this fits
This senior, hands-on technical lead role suits someone who can guide engineers and work directly with client stakeholders. You need to be available during EST business hours.
From the employer
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.
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.
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