Senior AI Software Engineer, Agentic Systems & Data Fabric

About Kinaxis

Are you looking to join an innovative, market-leading company where you can truly elevate your career? At Kinaxis we are serious about culture, we are serious about technology, we are serious about customers, and we are serious about not taking ourselves too seriously. If you are looking to be part of an incredible growth story, then we might just be the place for you!

In 1984, we started out as a team of three engineers. Today, we have grown to become a global organization with over 2000 employees around the world, 6 global office and a best-in-class HQ in Ottawa, Canada. As winners of several Top Employer awards globally, we are proud to work with our customers and employees towards solving some of the biggest challenges facing supply chains today.

Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains, and supporting the people who manage them. Our powerful, AI infused platform provides full transparency and visibility across end-to-end supply chains, enabling our customers to make faster, better decisions. We are trusted by renowned global brands to provide the agility and predictability needed to navigate today’s volatility and disruption. With more than 40,000 users in over 100 countries, we are expanding our team as we continue to innovate and revolutionize how we support our customers.

Location

Ottawa and Toronto, Canada - Hybrid

Other Canadian locations - Remote

About the role

The Data Fabric team is a cross-functional team at Kinaxis that builds a multi-tenant, multi-cloud data platform on Databricks (GCP & Azure) to connect, govern, secure, and discover data for supply chain and AI products. We deliver secure tenant isolation, governed data sharing, and the harness enablement layer that lets agentic AI safely reason about and act on enterprise data. As a Senior AI Software Engineer on the Data Fabric team, you will design and implement execution patterns, tool-calling infrastructure, and runtime guardrails that enable agentic workflows to operate reliably on enterprise-grade data at scale.

Vacancy Status

This is an existing job vacancy

What you will do

• AI harness & execution layer: Build core services and reusable 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 that teams adopt at scale.

What we are looking for

• Workflow orchestration & system design: Track record architecting resilient execution workflows, APIs, and production platforms.
• Agentic engineering: Hands-on production experience with agent frameworks, tool calling, state management, approvals, retries, and evaluation.
• Closed-loop reliability: Experience designing observable, self-correcting workflows with planning, independent verification, and human governance.
• Testing & guardrails: Experience applying automated testing, runtime feedback loops, and guardrails to validate agent-generated outcomes.
• Python development: Deep proficiency writing scalable Python runtimes, asynchronous services, and developer SDKs.
• Strong initiative: Proactive builder who independently turns ambiguous problem spaces and client needs into impactful platform products. 

• Databricks ecosystem: Hands-on experience with Unity Catalog, Delta Lake, and SQL endpoints on GCP or Azure.
• Infrastructure as Code: Experience automating cloud infrastructure using Terraform and CI/CD pipelines.

#Intermediate, #Senior

Work With Impact: Our platform directly helps companies power the world’s supply chains. We see the results of what we do out in the world every day, when we see store shelves stocked, when medications are available for our loved ones, and so much more.

Work with Fortune 500 Brands: Companies across industries trust us to help them take control of their integrated business planning and digital supply chain. Some of our customers include Lockheed Martin, Unilever, P&G, ExxonMobil, Cisco and more.

Social Responsibility at Kinaxis: Our Diversity, Equity, and Inclusion Committee weighs in on hiring practices, talent assessment training materials, and mandatory training on unconscious bias and inclusion fundamentals. Sustainability is key to what we do and we’re committed to a long-term net-zero operations strategy. We are involved in our communities and support causes where we can make the most impact.

People matter at Kinaxis and here are some of the perks and benefits we offer, which may vary by location and employee:

• Flexible vacation and Kinaxis Days (company-wide days off)
• Flexible work options
• Physical and mental well-being programs
• Regularly scheduled virtual fitness classes
• Mentorship programs, training, and career development
• Recognition programs and referral rewards
• Hackathons

For more information, visit the Kinaxis website at www.kinaxis.com or the company’s blog at http://blog.kinaxis.com.

Kinaxis welcomes candidates to apply to our inclusive community. We provide accommodations upon request to ensure fairness and accessibility throughout our recruitment process for all candidates, including those with specific needs or disabilities. If you require an accommodation, please reach out to us at [email protected]. This contact information is for accessibility requests only and cannot be used to inquire about the status of applications.

Kinaxis is committed to ensuring a fair and transparent recruitment process. We use artificial intelligence (AI) tools in the initial step of the recruitment process to compare submitted resumes against the job description to identify candidates whose education, experience, and skills most closely match the requirements of the role. After the initial screening, all subsequent decisions regarding your application, including final selection, are made by our human recruitment team. AI does not make any final hiring decisions.