Senior Software Engineer, AI & Enterprise Data Fabric

About Kinaxis: 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. About the team: Location Ottawa and Toronto, Canada - Hybrid Other Canadian locations - Remote About the role We are looking for a Senior AI Software Engineer to join a cross-functional team and help design and build the harness systems that bring agentic AI into our enterprise Data Fabric platform, built on Databricks across GCP and Azure . This is a hands-on AI harness engineering role focused on system design and implementation — not architecture, governance, or prompt engineering alone. You will build reusable AI execution patterns and workfows that let agents safely reason over governed data, call tools, protect tenant boundaries, and produce verifiable outputs. You will support team members and cross-functional stakeholders in AI system initiatives, balancing alignment with Kinaxis and autonomous ownership within the Data Fabric. This person will participate in and support different AI initiatives as part of the cross-functional team. About the role: Vacancy Status This is an existing job vacancy What you will do Design and Build the AI Harness Layer: Own the core harness services that sit between LLMs, agents, Databricks, governed data products, and enterprise applications. Implement Agent Execution Frameworks: Build reusable runtimes for tool calling, context assembly, planning, state management, retries, approvals, observability, evaluation, and fallback behavior. Integrate Deeply with Databricks Data Fabric: Connect agent workflows to Databricks, Delta Lake, Unity Catalog-style metadata, notebooks/jobs, SQL endpoints, cloud storage, and governed data products across GCP and Azure. Enable Safe Agentic Data Workflows: Create patterns that let agents query, transform, summarize, enrich, and act on enterprise data while enforcing policy, provenance, lineage, and human-in-the-loop controls where needed. Engineer High Tenant Isolation: Design isolation boundaries across data, compute, identity, metadata, tools, prompts, memory, network paths, secrets, and execution context for multi-tenant enterprise workloads. Ship Production Platform Components: Deliver APIs, SDKs, libraries, reference implementations, templates, and operational runbooks that data, AI, and application teams can adopt at scale. What we are looking for Strong software engineering background with experience building distributed systems, platform services, APIs, and production-grade frameworks. Hands-on experience with Databricks and/or modern cloud data platforms, preferably across GCP and Azure . Deep understanding of LLM integration patterns, agent orchestration, tool use, struc…

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