This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Solutions Lead based in Canada.
This is a highly hands-on, product-driven AI leadership role focused on building real, production-grade AI systems that directly improve how internal teams access, use, and operationalize knowledge. You will be responsible for designing and delivering an applied AI platform that unifies fragmented data sources into a single intelligent layer powering Support, customer intelligence, and operational decision-making. The role blends deep technical execution with strong business understanding, requiring you to move quickly from concept to working systems that deliver measurable impact. You will spend the majority of your time building a customer intelligence and knowledge aggregation platform while also shaping AI standards and enablement across multiple business units. This is not a strategy-only role—success depends on shipping usable tools, iterating through real feedback, and driving adoption across teams. You will collaborate closely with support, product, and operations stakeholders while also enabling broader AI maturity across the organization.
Accountabilities:
- Design and build an end-to-end customer intelligence and knowledge aggregation platform integrating tools such as CRM, support systems, engineering repositories, and internal knowledge bases.
- Develop a Support Co-Pilot that enables teams to query unified data sources and retrieve accurate, cited answers for customer issues.
- Establish and maintain a unified customer identity model across multiple systems to ensure consistent data retrieval and analysis.
- Implement AI-powered workflows to reduce manual support effort, improve resolution speed, and eliminate fragmented knowledge access patterns.
- Define and iterate on mechanisms to promote validated AI-generated insights into downstream systems and knowledge platforms.
- Extend the platform to enable customer health scoring, lifecycle insights, and account intelligence for broader operational teams.
- Build and maintain AI maturity frameworks, governance standards, and reusable conventions across business units.
- Run hands-on enablement sessions, workshops, and coaching activities to increase AI adoption across teams.
- Identify and rapidly prototype high-impact AI opportunities across the organization in short, focused delivery cycles.
- Partner with cross-functional stakeholders to ensure AI systems are practical, adopted, and aligned with real operational workflows.
Requirements:
- Proven experience building and deploying end-to-end AI or data-driven applications in production environments.
- Strong hands-on technical background in AI systems, LLM-based applications, data integration, or knowledge retrieval systems.
- Ability to work with multiple data sources and design unified data layers or knowledge graphs.
- Strong product and business acumen, with the ability to translate operational needs into technical solutions.
- Experience working with tools such as CRM, support platforms, or knowledge management systems (e.g., HubSpot, Zendesk, Jira, Confluence).
- Comfortable working in fast-moving, ambiguous environments with aggressive delivery timelines.
- Strong communication and collaboration skills, with experience enabling and coaching non-technical users.
- SaaS or B2B software experience is strongly preferred.
- Ability to balance hands-on building with cross-functional enablement and stakeholder alignment.
Benefits:
- Competitive compensation aligned with senior AI and engineering leadership roles
- Fully remote work within Canada
- Opportunity to build a high-impact, greenfield AI platform from the ground up
- Direct exposure to senior leadership and cross-business unit strategy
- High ownership role with end-to-end responsibility for production AI systems
- Strong focus on innovation, experimentation, and rapid iteration
- Long-term growth opportunities within a global software organization
- Collaborative, engineering-led environment focused on real-world impact.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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