AI Solution Specialist

Location: Burnaby, British Columbia, Canada; hybrid work.

Base salary: CAD 58,900–84,920 annually, plus corporate bonus.

Company

hirify.global provides cloud-first networking and security solutions used by 70% of the Fortune 500.

What you will do

• Identify and prioritize high-impact AI use cases and workflows that improve productivity, cycle time, quality, and decision-making.
• Translate business needs into practical AI solution designs, including agents, copilots, automations, analytics, and AI-indexed workflows grounded in enterprise data.
• Design and configure AI agents and workflows using Glean, Microsoft Copilot, Copilot Studio, Power Automate, and approved third-party tools.
• Collaborate with IT, data, security, operations, functional leaders, and the AI Investment Office to connect solutions to appropriate systems and data while following AI governance and guardrails.
• Run pilots from discovery and scoping through testing, feedback, iteration, and production rollout; define success metrics, business cases, and telemetry for adoption, time saved, quality, and financial impact.
• Create enablement materials, training moments, reusable prompts, architectures, patterns, and checklists, and build a portfolio of production AI solutions with quantified impact.

Requirements

• Foundational skills in business analysis, solutions consulting, project or program management, or operations analysis, together with a strong AI background and experience in automation or advanced analytics.
• Proven ability to turn ambiguous business problems into practical technology or AI solutions with measurable outcomes.
• Hands-on experience with AI or automation platforms such as Glean, Microsoft Copilot, Copilot Studio, Power Automate, low-code agents, or comparable tools.
• Strong workflow and process-mapping skills, including defining requirements and breaking work into clear, testable steps.
• Comfort working with data, AI copilots, BI tools, or basic queries to explore datasets, define KPIs, and interpret trends.
• Excellent written and verbal communication skills, including explaining AI concepts, tradeoffs, and risks to non-technical stakeholders.
• Experience collaborating across business, IT, and data teams and influencing stakeholders without direct authority.
• Growth mindset and curiosity about emerging AI capabilities, with a track record of learning and applying new tools quickly.
• Bachelor’s degree in business, information systems, computer science, engineering, or a related field.

Nice to have

• Master’s degree, such as an MBA or similar.

Culture & Benefits

• Hybrid work options, comprehensive health coverage, and generous paid time off.
• Learning opportunities, career-mobility programs, and leadership workshops.
• Sixteen paid volunteer hours annually, global employee resource groups, and an inclusive collaboration policy.
• Modern offices with EV charging, healthy snacks, hackathons, game nights, and culture celebrations.
• Charitable Giving Program with company match and performance-based pay transparency.

Hiring process

• The first 90 days include cultural immersion, mentor connections, systems mapping, stakeholder meetings, and short- and long-term goal setting.
• Within six months, the role is expected to deliver 2–3 scoped AI solutions or agents through pilot and establish a prioritized AI opportunity backlog with success metrics.
• Within one year, the role is expected to own a portfolio of production AI solutions, standardize reusable patterns, advise leaders, and contribute to AI governance and mentoring.