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Lead Data & AI Engineer (Palantir Foundry/AIP) - Canada
Software Mind Americas
Ottawa, CAN
Full-time
Mid-Senior
Onsite
Discovered 1 weeks ago
Palantir FoundryPalantir AIPData pipelinesPalantir ontology (Object, Link, and Action Types, Interfaces, Property Sets)AIP LogicAIP Automate
Key Skills for This Role
Palantir FoundryPalantir AIPData pipelinesPalantir ontology (Object, Link, and Action Types, Interfaces, Property Sets)AIP LogicAIP Automate
Full Job Posting
What you'll do
- Build and manage Foundry data pipelines, ontology components, and applications.
- Design semantic and context layers with Palantir ontology components: 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: build, test, deploy, and monitor.
- Serve as the hands-on Palantir lead by guiding solution design, reviewing code, coaching engineers, and resolving technical blockers.
- Own technical delivery, translating business requirements into implementation plans and guiding solutions through production deployment.
- Lead technical discussions with client stakeholders, explaining design decisions, trade-offs, dependencies, and delivery risks.
Required qualifications
- Hands-on Palantir Foundry and/or AIP experience on real client or production projects.
- 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.
- Comfort with fast delivery cycles and changing requirements.
- Strong English and clear communication with technical and business audiences.
- Able to work EST business hours.
Nice to have
- Experience developing agentic or GenAI applications is strongly preferred.
- Production deployments inside Palantir are a nice to have.
- Ontology Linter, Data Lineage, CBAC, and Foundry Marketplace experience are nice to have.
- Semantic layers, ontologies, or knowledge graphs across Azure, AWS, GCP, Palantir, or Databricks are nice to have.
- Azure, Azure AI Foundry, Databricks, or Genie experience is a nice to have.
- GitHub CI/CD and DevOps or DevSecOps tooling experience is a nice to have.
- Experience deploying OpenAI, Anthropic, or other LLM-provider models, including model selection and cost optimization, is a nice to have.
- Experience building reusable agent skills, tools, or components for multiple use cases is a nice to have.
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