AI Architect

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

Hybrid - Ottawa and Toronto. Remote for other locations in Canada 

About the team

The Enterprise Architecture team at Kinaxis shapes the long‑term technical direction of our enterprise platforms, ensuring our technology ecosystem remains scalable, secure, and aligned with our strategic goals. We work across Corporate IT and business teams to set architectural guardrails, provide solution guidance, and steward the health of critical platforms such as Salesforce, ServiceNow, NetSuite, and others.

We are expanding Enterprise Architecture to ensure Kinaxis can adopt AI and emerging automation patterns at enterprise scale; quickly, safely, and consistently by embedding clear architectural guardrails into how systems, data, and decisions evolve.

About the role

We are looking for an AI Enterprise Architect to help shape how AI‑enabled and agent‑driven capabilities are designed, governed, and evolved across Corporate Kinaxis.

This is a senior architecture role focused on defining enterprise‑level AI architecture, establishing clear guardrails, and working closely with other architects and risk partners to ensure AI accelerates the business without creating unmanaged risk or long‑term architectural debt. 

You will operate within a federated Enterprise Architecture model, partnering with Enterprise Architects, Data Architects, Security Architects, Solution Architects, and business stakeholders. Success in this role depends as much on judgment, collaboration, and influence as it does on technical depth

Vacancy Status

This is an existing job vacancy

What you will do

• Build the “paved road” for enterprise AI: publish and maintain reusable reference architectures, guardrails, and starter patterns that teams can adopt quickly (e.g., standard ways to ground AI in enterprise knowledge, call tools safely, and integrate with systems of record), so safe delivery is the default rather than a special case.
• Define and operationalize agent interaction and authority boundaries: help teams design AI workflows where components may collaborate (including multi-step or multi-component decision flows) by establishing clear interaction models, responsibility boundaries, and escalation/override points that are enforceable by design.
• Embed governance into platforms and delivery workflows (not paperwork): partner with other architects to translate risk appetite into practical architectural constraints, and ensure those constraints show up in platform choices, standard patterns, and intake/review triggers—so governance speeds teams up instead of slowing them down.
• Make AI systems measurable and production-ready: define what “good” looks like for AI-enabled and agentic solutions (quality, reliability, cost, latency, safety), and ensure teams implement evaluation and monitoring approaches that detect drift, failure modes, and cost surprises before they become enterprise incidents.
• Create decision-ready architecture artefacts teams can execute: produce practical outputs (architecture decision records, lightweight review checklists, pattern catalogs, and example designs) that reduce repeat debates and let delivery teams move fast with clarity.
• Continuously evolve the guardrails as AI changes: maintain an enterprise AI “technology and pattern radar” focused on architectural implications (not hype), and update approved patterns and constraints on a cadence that matches real AI change while preserving stable principles so teams aren’t constantly re-architecting.
• Support adoption with hands-on architectural guidance: engage early with teams to shape designs, anticipate integration/data boundary issues, and reduce rework; providing direct guidance grounded in real-world implementation and operational considerations.

What we are looking for

Required

• 8–10+ years of experience in enterprise architecture, solution architecture, or senior technical roles within complex enterprise environments.
• Strong grounding in enterprise architecture practices, including reference architectures, integration patterns, and architectural governance.
• Sufficient AI architecture literacy to evaluate designs involving AI‑enabled or agent‑based systems, including implications for decision‑making, data access, cost, and operability.
• Experience working in a federated architecture model, partnering with other architects and risk stakeholders.
• Ability to communicate complex architectural trade‑offs clearly to both technical and non‑technical audiences.

Nice to have 

• Experience contributing to or defining AI‑related architectural standards or guardrails.
• Familiarity with enterprise data and integration architectures that support AI workloads.
• Exposure to environments where technology is evolving rapidly and ambiguity is the norm.

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 recruitmentprograms@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.