AI Solutions Architect
Role Overview
The senior individual-contributor role turns defined business opportunities into deployed AI-enabled solutions across business functions.
The architect works directly with the CEO and functional leaders to turn scoped problems into technical solutions and production-ready workflows.
The role helps develop a future orchestration layer to coordinate AI agents, information flow, source consistency, quality and exceptions.
Key Skills for This Role
Full Job Posting
About KLONDIKE
KLONDIKE manufactures and markets commercial, industrial and automotive lubricants, greases and specialty chemicals.
The company sells through a distributor network and emphasizes supply chain reliability, product availability, value and technical credibility.
Manufacturing and warehousing are outsourced to strategic partners; the company invests in inventory across six warehouses.
KLONDIKE is expanding its distributor-focused business in the United States.
Role overview
The senior individual-contributor role turns defined business opportunities into deployed AI-enabled solutions across business functions.
The architect works directly with the CEO and functional leaders to turn scoped problems into technical solutions and production-ready workflows.
The role helps develop a future orchestration layer to coordinate AI agents, information flow, source consistency, quality and exceptions.
Solution design and delivery
- Translate business opportunities into technical designs, build plans and working pilots; build AI agents, automations, internal tools and system-assisted processes.
- Select simple architectures, prototype concepts, harden successful pilots and resolve process or specification gaps with business owners.
- Integrate approved systems and data, including SAP Business One, HubSpot, Power BI, Valogix, SharePoint, Outlook and commercial and product data.
- Build and maintain API integrations, authentication, connectors, data transformations and system handoffs; preserve source-of-truth rules and identifiers.
- Align access, confidentiality, permissions and write-back authority with the intended role; create reusable integration patterns.
- Own functional, edge-case, regression and business-user acceptance testing; validate model outputs, transformations, documents and system write-backs.
- Design retries, idempotency, timeout handling, exception routing, audit trails and recovery paths; implement monitoring and observability.
- Deploy in controlled stages, support user pilots, document architecture and operating procedures, and monitor adoption and business impact.
- Maintain solutions as models, platforms, connectors and processes change; evaluate platforms and manage vendors against defined scopes and quality standards.
- Help build the future AI orchestration layer, with reusable routing, synchronization, handoff, quality, monitoring, exception and AgentOps patterns.
Candidate profile
- At least 5 years of progressive experience in software engineering, solutions engineering, automation, systems integration or a related hands-on technical role.
- Experience building and deploying real-world AI/LLM workflows with modern platforms and agent or orchestration tools.
- Strong capability with Python, REST APIs, JSON, SQL/data manipulation, authentication concepts and workflow automation.
- Experience integrating ERP, CRM, Microsoft 365, SharePoint and email platforms.
- Strong production reliability knowledge, including testing, logging, monitoring, exception handling, permissions, data validation and secure write-back.
- Ability to map business processes, identify failure points and exceptions, and create practical technical workflows.
- Sound judgment about AI recommendations, preparation, approvals and actions; ability to work independently from clear objectives.
- Strong written and verbal communication, including explaining technical trade-offs to non-technical leaders and users.
- SAP Business One, HubSpot, Microsoft Graph, Power Platform, Azure, OpenAI/Azure OpenAI, Anthropic or comparable platform experience is an asset.
- Distribution, manufacturing, industrial products or inventory-intensive environment experience is a plus; a computer science or engineering degree is also a plus.
Work arrangement
- The company describes a collaborative work model with Monday through Thursday in office and Friday as a flex day.
- The role is based in Langley, British Columbia.
What is offered
- The opportunity to build applied AI capability across real business use cases in an established, profitable company.
- The company describes a high-performance environment focused on ownership, decision velocity, continuous improvement and results.
- Medical benefits, parking, laptop and smartphone are offered; the office is described as a new, open-concept space in Langley.
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