Senior AI Engineer - Agentic Data Fabric & Multi-Cloud

Kinaxis; Southwestern Ontario; Hybrid; CAD 120,000 - 160,000; Full time

Benefits offered by this job

Flexible vacation and Kinaxis Days

Flexible work options

Well-being programs

Virtual fitness classes

Mentorship and career development

Recognition programs

Hackathons

Job summary

Kinaxis, with offices in Ottawa and Toronto and a hybrid work model, seeks a Senior AI Software Engineer for the Data Fabric team. You will design and implement execution patterns, tool-calling infrastructure, and guardrails that enable agentic workflows on enterprise-grade data at scale.

Focused on Python development, you will work with Databricks across GCP and Azure, building durable platform components and APIs that teams adopt at scale.

Qualifications

• Track record architecting resilient execution workflows and production platforms.
• Hands-on experience with agent frameworks, tool calling, state management, retries, and evaluation.
• Experience designing observable, self-correcting workflows with governance.
• Strong Python development for scalable runtimes and SDKs.
• Proactive in turning ambiguous client needs into platform products.

Responsibilities

• AI harness & execution layer: Build core services and runtimes that connect LLMs to governed data on Databricks.
• Data Fabric integration: Wire agent workflows into Delta Lake, Unity Catalog, SQL endpoints, and multi-cloud pipelines.
• 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.

Skills

Workflow orchestration

System design

Agentic engineering

Multi-cloud platforms

Python development

Observability

Async services

Proactive mindset

Tools

Databricks

Unity Catalog

Delta Lake

SQL endpoints

Terraform

CI/CD pipelines

Job description

Kinaxis, with offices in Ottawa and Toronto and a hybrid work model, seeks a Senior AI Software Engineer for the Data Fabric team. You will design and implement execution patterns, tool-calling infrastructure, and guardrails that enable agentic workflows on enterprise-grade data at scale.

Focused on Python development, you will work with Databricks across GCP and Azure, building durable platform components and APIs that teams adopt at scale.