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

Software Mind; Ottawa; On-site; CAD 120,000 - 180,000; Full time

Job summary

Software Mind in Ottawa seeks a hands-on Palantir/GenAI specialist to lead data pipelines and production deployments. You will build Foundry pipelines, craft semantic layers, and implement LLM-powered workflows, balancing speed with robust engineering.

You will translate business needs into concrete plans, review code, mentor engineers, and drive projects from prototype to production, while communicating clearly with technical and business stakeholders across EST hours.

Qualifications

• Must have hands-on Palantir Foundry and/or AIP experience on real client or production projects.
• Experience building agentic or GenAI applications is highly preferred.
• Strong software engineering and problem-solving skills required.
• Ability to integrate AI with enterprise data sources, APIs and business systems.

Responsibilities

• Build and manage Foundry data pipelines, ontology components and applications.
• Design semantic layers with Palantir ontology (Object, Link, Action Types, Interfaces, Property Sets).
• Develop LLM-powered workflows using AIP Logic, Automate and Assist.
• Take AI use cases from prototype to production: build, test, deploy and monitor.
• Lead technical discussions with client stakeholders; explain design choices and risks.
• Translate business requirements into implementation plans and production deployment guidance.
• Coach engineers and resolve blockers to ensure timely delivery.

Skills

GenAI experience

Software engineering

Communication

English proficiency

EST hours

Tools

Palantir Foundry

AIP

GitHub CI/CD

Job description

• Full-time

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)
• 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

By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy apply