Senior AI Platform Engineer: Data Fabric & Agentic AI

Kinaxis; Quebec; Hybrid; CAD 120,000 - 180,000; Full time

Benefits offered by this job

Flexible vacation

Flexible work options

Well-being programs

Fitness classes

Mentorship and career development

Recognition programs

Hackathons

Job summary

Kinaxis is seeking a Senior AI Software Engineer to join the Data Fabric team, building a multi-tenant data platform on Databricks for governed data access across cloud environments. You will design and implement execution patterns, tool-calling infrastructure, and runtime guardrails for scalable, enterprise-grade AI workflows.

You will work on integration with Delta Lake, Unity Catalog, and multi-cloud pipelines, delivering production APIs, SDKs, and runbooks while ensuring data safety and

Qualifications

• Track record architecting resilient execution workflows, APIs, and production platforms.
• Hands-on production experience with agent frameworks, tool calling, state management, approvals, retries, and evaluation.
• Experience designing observable, self-correcting workflows with planning, independent verification, and governance.
• Experience applying automated testing, runtime feedback loops, and guardrails to validate agent-generated outcomes.

Responsibilities

• AI harness & execution layer: Build core services and runtimes that connect LLMs and agents to governed data on Databricks.
• Data Fabric integration: Wire agent workflows into Delta Lake, Unity Catalog, SQL endpoints, and multi-cloud pipelines across GCP and Azure.
• Tenant isolation & data safety: Design multi-tenant boundaries across data, compute, identity, and execution context.
• Platform components: Ship production-ready APIs, SDKs, reference implementations, and runbooks at scale.

Skills

Workflow orchestration

Agentic engineering

Observability

Python development

Tools

Databricks

Terraform

CI/CD pipelines

Unity Catalog

Delta Lake

Job description

Kinaxis is seeking a Senior AI Software Engineer to join the Data Fabric team, building a multi-tenant data platform on Databricks for governed data access across cloud environments. You will design and implement execution patterns, tool-calling infrastructure, and runtime guardrails for scalable, enterprise-grade AI workflows.

You will work on integration with Delta Lake, Unity Catalog, and multi-cloud pipelines, delivering production APIs, SDKs, and runbooks while ensuring data safety and