🕒 2 days ago
Defines enterprise data-platform architecture and engineering standards, leads complex system design and technical decisions, and builds reliable data products while mentoring engineers across teams.
[OWD] Lead Data & AI Engineer (Palantir Foundry/AIP) - Canada
🕒 2 days ago
Palantir FoundryPalantir AIPData EngineeringData Pipelines
📜 Description
- Build and manage Foundry data pipelines, ontology components, and applications.
- Design semantic and context layers using Palantir ontology types and components.
- Build LLM-powered workflows with AIP Logic, AIP Automate, and AIP Assist.
- Take agentic AI use cases from prototype through production, including testing, deployment, and monitoring.
- Guide solution design, review code, coach engineers, and resolve technical blockers while remaining hands-on.
- Own technical delivery and lead client discussions on design decisions, trade-offs, dependencies, and delivery risks.
🛠️ Requirements
- 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
- Solutions deployed to production inside Palantir
- Ontology Linter, Data Lineage, CBAC, Foundry Marketplace
Full job description
Company Description
Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities – these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means we’re always on the lookout for talented people who bring passion and creativity to every project. Our culture embraces openness, acts with respect, shows grit & guts and combines employment with enjoyment.
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
Additional Information
Similar jobs
Search more Data Engineer jobs
🕒 3 days ago
Lead data engineering work to prepare Snowflake datasets for a Dataiku proof of concept, building reliable pipelines and data models while ensuring data quality for downstream analytical workflows.
🕒 7 days ago
Lead hands-on data engineering on Azure Databricks, setting Lakehouse standards and architecture while guiding teams to build scalable, secure, reliable pipelines and strengthen DataOps practices.
🕒 10 days ago
The ideal candidate will build and maintain scalable data solutions in Databricks, focusing on data governance, audience activation, and marketing analytics.
🕒 10 days ago
As a Principal Data Engineer, you will architect scalable data platforms, lead technical initiatives, and drive AI/ML solutions across various operational domains.