Job detail for Senior AI Software Engineer(Enterprise Data Fabric platform)
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Senior AI Software Engineer(Enterprise Data Fabric platform)
Location CA-Remote
ID 2026-35471
Category Engineering
Position Type Full-Time
Remote Yes
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
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.
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, structured generation, retrieval, evaluation, and guardrails.
- Practical knowledge of Data Fabric concepts, metadata, lineage, governance, semantic models, and enterprise data access patterns.
- Experience designing secure multi-tenant systems with strong isolation across data, compute, identity, and runtime execution.
- A pragmatic builder mindset: able to set architectural direction, write code, prove patterns, and turn prototypes into durable platform capabilities.
#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 @kinaxis.com. 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.
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