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Lead Data & AI Engineer (Palantir Foundry/AIP) - Canada

  • Ottawa, ON, Canada

Full-time

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Job details

Job type
Full-time
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Posting language
English
Posted

Original 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
More about this job

Responsibilities

Build and manage Foundry data pipelines, ontology components, applications, and LLM-powered workflows, taking agentic AI solutions from prototype through production. Lead technical delivery and client discussions while guiding solution design, reviewing code, coaching engineers, and resolving technical blockers.

Requirements

Candidates need hands-on Palantir Foundry and/or AIP experience on client or production projects, strong software engineering and data engineering skills, and experience integrating AI with enterprise data sources and systems. Agentic or generative AI experience is strongly preferred, along with clear English communication and availability during Eastern Time business hours.

Skills

  • Palantir Foundry
  • Palantir AIP
  • Data Engineering
  • Data Pipelines
  • Ontology Design
  • Agentic AI
  • Generative AI
  • LLM Workflows
  • Software Engineering
  • Enterprise Data Integration
  • API Integration
  • Solution Design
  • Technical Leadership
  • CI/CD
  • Stakeholder Communication

Visa sponsorship

Not detected in the job text

Categories

  • Technology
  • Software
  • Data & Analytics
  • Engineering
  • Management & Leadership

Keywords

  • Palantir Foundry
  • Palantir AIP
  • AIP Logic
  • AIP Automate
  • AIP Assist
  • Data Pipelines
  • Ontology
  • Object Types
  • Link Types
  • Action Types
  • Interfaces
  • Property Sets
  • Agentic AI
  • Generative AI
  • Large Language Models
  • Semantic Layers
  • Knowledge Graphs
  • Data Engineering
  • Structured Data
  • Unstructured Data
  • Enterprise Data Integration
  • APIs
  • Azure
  • Azure AI Foundry
  • Databricks
  • GitHub
  • CI/CD
  • Data Lineage
  • CBAC
  • Foundry Marketplace

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